2026年4月3日的新闻
Claude Code Blog
- Harnessing Claude’s intelligence (2026-04-02)
OpenAI News
- OpenAI acquires TBPN (2026-04-02)
- Codex 现已面向团队推出按需付费模式 (2026-04-02)
Cursor Blog
- Meet the new Cursor (2026-04-02)
- A technical report on Composer 2 (2026-03-27)
- Improving Composer through real-time RL (2026-03-26)
- Run cloud agents in your own infrastructure (2026-03-25)
- Fast regex search: indexing text for agent tools (2026-03-23)
- Introducing Composer 2 (2026-03-19)
- Training Composer for longer horizons (2026-03-17)
- Securing our codebase with autonomous agents (2026-03-16)
- How we compare model quality in Cursor (2026-03-11)
- Over 30 new plugins join the Cursor Marketplace (2026-03-11)
- Build agents that run automatically (2026-03-05)
- Cursor is now available in JetBrains IDEs (2026-03-04)
- How technical support at Cursor uses Cursor (2026-03-03)
- PlanetScale protects production reliability with Bugbot (2026-03-02)
- The third era of AI software development (2026-02-26)
- Box chooses Cursor for enterprise-grade quality, security, and control (2026-02-13)
- NVIDIA commits 3x more code across 30,000 developers with Cursor (2026-02-06)
- Salesforce accelerates velocity by over 30% and ships higher-quality code with Cursor (2026-01-21)
- Best practices for coding with agents (2026-01-09)
DeepMind Blog
- Gemma 4: Byte for byte, the most capable open models (2026-04-01)
- Gemini 3.1 Flash Live: Making audio AI more natural and reliable (2026-03-01)
- Protecting people from harmful manipulation (2026-03-01)
- Lyria 3 Pro: Create longer tracks in more (2026-03-01)
- Measuring progress toward AGI: A cognitive framework (2026-03-01)
- From games to biology and beyond: 10 years of AlphaGo’s impact (2026-03-01)
- Gemini 3.1 Flash-Lite: Built for intelligence at scale (2026-03-01)
- Nano Banana 2: Combining Pro capabilities with lightning-fast speed (2026-02-01)
- Gemini 3.1 Pro: A smarter model for your most complex tasks (2026-02-01)
- A new way to express yourself: Gemini can now create music (2026-02-01)
- Accelerating discovery in India through AI-powered science and education (2026-02-01)
- Gemini 3 Deep Think: Advancing science, research and engineering (2026-02-01)
- Accelerating Mathematical and Scientific Discovery with Gemini Deep Think (2026-02-01)
- Project Genie: Experimenting with infinite, interactive worlds (2026-01-01)
- D4RT: Teaching AI to see the world in four dimensions (2026-01-01)
- Veo 3.1 Ingredients to Video: More consistency, creativity and control (2026-01-01)
- Google’s year in review: 8 areas with research breakthroughs in 2025 (2025-12-01)
- Gemma Scope 2: helping the AI safety community deepen understanding of complex language model behavior (2025-12-01)
- Google DeepMind supports U.S. Department of Energy on Genesis: a national mission to accelerate innovation and scientific discovery (2025-12-01)
- Gemini 3 Flash: frontier intelligence built for speed (2025-12-01)
- Improved Gemini audio models for powerful voice experiences (2025-12-01)
- Deepening our partnership with the UK AI Security Institute (2025-12-01)
- Strengthening our partnership with the UK government to support prosperity and security in the AI era (2025-12-01)
- FACTS Benchmark Suite: Systematically evaluating the factuality of large language models (2025-12-01)
- Engineering more resilient crops for a warming climate (2025-12-01)
- AlphaFold: Five years of impact (2025-11-01)
Hugging Face Blog
- Run Gemma 4 on Intel® Arc™ GPUs Out-Of-the-Box (2026-04-01)
- “The Child That Surpassed Both Parents Through MRI-Guided Evolutionary Merge” (2026-03-31)
- Training mRNA Language Models Across 25 Species for $165 (2026-03-31)
- How I contributed a new model to the Transformers library using Codex (2026-03-30)
- 🌈 SKT AI LABS 🌈 (2026-03-30)
- Introducing WM Bench: A Benchmark for Cognitive Intelligence in World Models (2026-03-29)
- Introducing Cohere-transcribe: state-of-the-art speech recognition (2026-03-26)
- Using Storage Buckets as a Working Layer for Data Pipelines (2026-03-26)
- SynthVision: Building a 110K Synthetic Medical VQA Dataset with Cross-Model Validation (2026-03-23)
- Raw Robot Video to VLA-Ready Training Data: Annotating LeRobot Datasets with Nomadic and HuggingFace Buckets (2026-03-21)
- Nemotron 3 Nano 4B: A Compact Hybrid Model for Efficient Local AI (2026-03-17)
- Expanding the Alpamayo Open Platform for Developing Reasoning AVs Across Models, Data, and Simulation (2026-03-16)
- NEO-unify: Building Native Multimodal Unified Models End to End (2026-03-05)
- Qwen3.5: Nobody Agrees on Attention Anymore (2026-02-17)
- Forge: Scalable Agent RL Framework and Algorithm (2026-02-13)
- From GRPO to DAPO and GSPO: What, Why, and How (2025-08-09)
- Take Control of What Your LLM Knows and Does — with the EasyEdit Tool Series (2025-07-15)
- Everything You Need to Know about Knowledge Distillation (2025-03-06)
- Navigating the RLHF Landscape: From Policy Gradients to PPO, GAE, and DPO for LLM Alignment (2025-02-11)
- Fine-Tuning Your First Large Language Model (LLM) with PyTorch and Hugging Face (2025-02-11)
- KV Caching Explained: Optimizing Transformer Inference Efficiency (2025-01-30)
- Mastering Tensor Dimensions in Transformers (2025-01-12)
- Code a simple RAG from scratch (2024-10-29)
- Introduction to State Space Models (SSM) (2024-07-19)
- Uncensor any LLM with abliteration (2024-06-13)
- Illustrated LLM OS: An Implementational Perspective (2023-12-03)
Martin Fowler: Exploring Gen AI
- Humans and Agents in Software Engineering Loops (2026-03-04)
- Harness Engineering - first thoughts (2026-02-17)
- Context Engineering for Coding Agents (2026-02-05)
- Assessing internal quality while coding with an agent (2026-01-27)
- Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl (2025-10-15)
- Anchoring AI to a reference application (2025-09-25)
- To vibe or not to vibe (2025-09-23)
- Partner with the AI, throw away the code (2025-07-31)
- I still care about the code (2025-07-09)
- Autonomous coding agents: A Codex example (2025-06-04)
- Building Custom Tooling with LLMs (2025-05-14)
- Coding Assistants Threaten the Software Supply Chain (2025-05-13)
- Building TMT Mirror Visualization with LLM: A Step-by-Step Journey (2025-04-30)
- Guiding an LLM for Robust Java ByteBuffer Code (2025-04-17)
- The role of developer skills in agentic coding (2025-03-25)
- What role does LLM reasoning play for software tasks? (2025-02-18)
- Expanding the solution size with multi-file editing (2024-11-19)
- Building an AI agent application to migrate a tech stack (2024-08-20)
- Onboarding to a ’legacy’ codebase with the help of AI (2024-08-15)
- How to tackle unreliability of coding assistants (2023-11-29)
- How is GenAI different from other code generators? (2023-09-19)
- TDD with GitHub Copilot (2023-08-17)
- Coding assistants do not replace pair programming (2023-08-10)
- In-line assistance - how can it get in the way? (2023-08-03)
- In-line assistance - when is it more useful? (2023-08-01)
- Median - A tale in three functions (2023-07-27)
- The toolchain (2023-07-26)
Simon Willison Blog
- The Axios supply chain attack used individually targeted social engineering (2026-04-03)
- Highlights from my conversation about agentic engineering on Lenny’s Podcast (2026-04-02)
- Mr. Chatterbox is a (weak) Victorian-era ethically trained model you can run on your own computer (2026-03-30)
- Vibe coding SwiftUI apps is a lot of fun (2026-03-27)
- Experimenting with Starlette 1.0 with Claude skills (2026-03-22)
- Profiling Hacker News users based on their comments (2026-03-21)
- Thoughts on OpenAI acquiring Astral and uv/ruff/ty (2026-03-19)
- GPT-5.4 mini and GPT-5.4 nano, which can describe 76,000 photos for $52 (2026-03-17)
- My fireside chat about agentic engineering at the Pragmatic Summit (2026-03-14)
- Perhaps not Boring Technology after all (2026-03-09)
- Can coding agents relicense open source through a “clean room” implementation of code? (2026-03-05)
- Something is afoot in the land of Qwen (2026-03-04)
- I vibe coded my dream macOS presentation app (2026-02-25)
- Writing about Agentic Engineering Patterns (2026-02-23)
- Adding TILs, releases, museums, tools and research to my blog (2026-02-20)
- Two new Showboat tools: Chartroom and datasette-showboat (2026-02-17)
- Deep Blue (2026-02-15)
- The evolution of OpenAI’s mission statement (2026-02-13)
- Introducing Showboat and Rodney, so agents can demo what they’ve built (2026-02-10)
- How StrongDM’s AI team build serious software without even looking at the code (2026-02-07)
- Running Pydantic’s Monty Rust sandboxed Python subset in WebAssembly (2026-02-06)
- Distributing Go binaries like sqlite-scanner through PyPI using go-to-wheel (2026-02-04)
- Moltbook is the most interesting place on the internet right now (2026-01-30)
- Adding dynamic features to an aggressively cached website (2026-01-28)
- ChatGPT Containers can now run bash, pip/npm install packages, and download files (2026-01-26)
- Wilson Lin on FastRender: a browser built by thousands of parallel agents (2026-01-23)
- First impressions of Claude Cowork, Anthropic’s general agent (2026-01-12)
- My answers to the questions I posed about porting open source code with LLMs (2026-01-11)
- Fly’s new Sprites.dev addresses both developer sandboxes and API sandboxes at the same time (2026-01-09)
- LLM predictions for 2026, shared with Oxide and Friends (2026-01-08)
- Introducing gisthost.github.io (2026-01-01)
- 2025: The year in LLMs (2025-12-31)
Harrison Chase Blog
- How Coding Agents Are Reshaping Engineering, Product and Design (2026-03-10)
- The two patterns by which agents connect sandboxes (2026-02-10)
- In software, the code documents the app. In AI, the traces do. (2026-01-10)
- From Traces to Insights: Understanding Agent Behavior at Scale (2026-01-01)
- Reflections on Three Years of Building LangChain (2025-10-20)
- Not Another Workflow Builder (2025-10-07)
- Deep Agents (2025-07-30)
- The rise of “context engineering” (2025-06-23)
- How and when to build multi-agent systems (2025-06-16)
- The Hidden Metric That Determines AI Product Success (2025-06-12)
- How to think about agent frameworks (2025-04-20)
- AI Agent Latency 101: How do I speed up my AI agent? (2025-03-15)
Yohei Nakajima Blog
- Better Ways to Build Self-Improving AI Agents (2025-12-05)
- 🔍 What is A2A? (2025-04-15)
- 🔍 Key Trends & Insights on MCP Clients (2025-04-15)
- Building a personalized VC Copilot (2025-03-31)
- Pippin, an AI powered unicorn (2024-12-06)
- Where AI meets web3 🔗 (2024-08-29)
- Knowledge Graph 🤝 LLMs (2024-05-03)
- The Future of Autonomous Agents (2024-05-01)
- Musings on Semi-Local Inference (2024-05-01)
- Impact of BabyAGI (2024-03-26)
- Recent AI Trends and Select Startups 🧠 (2024-03-12)
- PredictiveChat: A Novel Approach to Minimizing Latency in Conversational AI through Anticipation (2024-03-02)
- One agent or multiple agents? (2024-02-06)
- Introducing the GPT VC Associate and the Mean VC 🤖 (2024-01-19)
- Gen AI for Research Market Map (2023-10-26)
- Introducing BabyFoxAGI: The Next Evolution of BabyAGI (2023-09-01)
- Rise of the Autonomous Agents 🤖 (2023-08-02)
- Surfing the Latent Space: Vector Embeddings (2023-08-01)
- BabyCatAGI: Fast and Feline (2023-05-13)
- BabyBeeAGI: Task Management and Functionality Expansion on top of BabyAGI (2023-04-30)
- AsymmeTrix: Asymmetric Vector Embeddings for Directional Similarity Search (2023-04-23)
- Birth of BabyAGI (2023-04-01)
- Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and LangChain for Diverse Applications (2023-03-28)
- Upgrades to our AI Capabilities 🦾 (2023-02-04)
- We’re building the future of VC (AI Tools) (2023-01-06)
- My Build-in-Public Log (2022-12-02)
- AI Experiments Galore (2022-11-02)
- AI Explosion 🧨 (2022-10-03)
- A quick deep dive into recent AI tools (2022-09-04)
- Mini-Yohei Can Now Write Blog Posts! (2022-08-22)
- New & Interesting Startups (and trends) (2022-07-06)
- Raising a Venture Capital Fund (2022-07-03)
- 150+ Web3 Startups (2022-03-07)
- Web3 Tools: Beyond the JPEGs 🐇 (2021-10-01)
- WTF is happening with NFTs right now? 🖼 (2021-09-01)
- What’s Hot in Real Estate? (2021-08-28)
- Collaborate good times come on ♫ 🤝 (2021-08-01)
- Teamwork makes the dream work (Human Resources) 🤝 (2021-08-01)
- Here comes the Metaverse 🌎 (2021-07-31)
- 2021 Startup Trends Report (2021-05-18)
- Wild Wild Wealth Management 💰 (2021-04-02)
- Integrate good times, come on 🤝 (2021-04-01)
- WTF are NFTs 🖼 (2021-03-01)
- Dating, Marriage, and Babies 💖💍👶 (2021-02-01)
- Retail & D2C 🛍📦 (2021-01-01)
- Is it Christmas yet? Let’s talk eCommerce tools (2020-10-02)
- Ayo for Productivity (2020-10-02)
- New & Interesting Startups: September Edition (2020-10-02)
- Voice is Hot (2020-10-02)
- Opening up the Workplace and the Future of Work (2020-10-02)
- Startups Tackling the Future of Education (2020-10-02)
- I’m loving No Code (2020-07-29)
- Is Shelter in Place Political? (2020-05-31)
- Four Deltas: a framework for communicating the impact of coronavirus on your business (2020-04-26)
- What’s your mission statement (2020-04-15)
- COVID-19 discussions for emerging GPs #OpenLP (2020-04-01)
- LP 101: Intro to investing in venture funds (2020-03-18)
- Change is slow (2020-02-10)
- Launching askanything.vc – a search engine that only shows results from trusted VCs (2020-02-05)
- How to find Angel Investors using LinkedIn (2020-01-21)
- Graduation Rate of Seed to Series A in Major US Cities (2019-05-24)
- Hands-on with Magic Leap (2018-08-17)
- An exercise in understanding the impact of new technologies. (2018-02-27)
- Creating Wealth Through Sustainability (2018-02-26)
- The Role of Venture Capital (2018-02-05)
- VCs are like Snowflakes (2018-01-08)
- Food tracking (2017-09-19)
- Venture Capital News – May 19, 2017 (2017-05-18)
- The Ying and Yang of Love and Hate (2016-11-10)
- The Role of Algorithms in Venture Capital (2016-11-01)
- Working with corporates as a startup (2016-09-24)
- Why did you start this company? (2016-09-21)
- Balance (2015-03-03)
- 100+ Practical Cognitive Exercises (2015-02-17)
- 2015 New Year’s Resolutions (2015-01-05)
- How to solve every major problem in the world. (2014-12-25)
- Sometimes I get jealous of trees (2014-12-05)
- Life is all about balance (2014-11-28)
- Review: My 2013 New Year’s Resolutions (2013-12-31)
- An Introduction to Startup Methodologies (2013-10-25)
- Best Resources for Learning Startup Marketing (2013-10-25)
- How to Get Into YCombinator (2013-10-16)
- Things I Wish We Talked About More Often (2013-10-16)
- Everything I Wanted to Know About the Government Shutdown (2013-10-09)
- Top 10 AngelList Syndicates You Want to Check Out (2013-10-03)
- Live an Epic Story (2013-10-01)
- Making Sense of Agile (2013-10-01)
- Idea: Github for Music – The Open Source Music Project (2013-09-26)
- 15 Notable Venture Capital Firms in Los Angeles (2013-09-17)
- Pandora Risk Factors (2013-09-16)
- Three Most Underutilized Marketing Strategies for Early-Stage Startups (2013-09-09)
- Publishing a Website Using Google Spreadsheets (2013-09-04)
- LA Tech/Startup Event Calendars (2013-09-03)
- Celebration Nation (2013-08-29)
- What Is “The American Dream”? (2013-08-25)
- Four Thousand Years of World History on One Infographic (2013-08-13)
- Streamlining Process – How Long Should You Spend? (2013-08-13)
- Brushing Up On Coding Chops (2013-08-06)
BaoYu Blog
- OpenAI 总裁 Greg Brockman:AI 自我改进、Super App 豪赌、通往 AGI 之路、算力扩张 (2026-04-01)
- Claude Code 源码泄漏了,但我不打算写源码分析分析文章 (2026-04-01)
- 飞书 CLI 开源了,为什么 AI Agent 时代,大家都在做命令行工具? (2026-03-28)
- Notion 联合创始人 Simon Last:我从去年夏天起就没写过一行代码了 (2026-03-28)
- 在中国 AI 生态圈摸底了两周,我学到了什么 (2026-03-26)
- AI 发展太快跟不上?一张四象限图帮你做减法 (2026-03-20)
- 被美国遣返、禁止入境 5 年,他在温哥华的卧室里做出了日处理 400 万工作流的 AI 平台 (2026-03-18)
- 构建 Claude Code 的经验:我们如何使用 Skills (2026-03-17)
- 智能体工程的 8 个等级 (2026-03-16)
- 编程 Agent 如何重塑工程、产品和设计 (2026-03-11)
- 当 AI 写了几乎所有代码,软件工程会怎样? (2026-03-11)
- 品牌时代 (2026-03-08)
- 我用 AI 翻译的三个阶段:提示词时代 → 推理模型时代 → Agent 时代 (2026-03-05)
- 多稿合并:从手动比稿到一键 Skill (2026-03-05)
- 陶哲轩最新演讲:AI 不是来抢数学家蛋糕的,是来把蛋糕做大的 (2026-03-04)
- Greg Brockman(OpenAI 联合创始人)把“那场宫斗”讲完整了:董事会、请愿书、马斯克与控制权 (2026-03-02)
- 设计流程已死:Anthropic 设计负责人 Jenny Wen 谈 AI 时代的设计变革 (2026-03-02)
- 被封杀当晚,OpenAI 拿到了相同条款——Amodei 首次专访揭开 Anthropic 与五角大楼冲突内幕 (2026-02-28)
- 从写代码到管 Agent:斯坦福首门 AI 软件开发课的讲师说,大多数工程师还没准备好 (2026-02-27)
- Anthropic CEO Dario Amodei:海啸已在地平线上,但没人在看 (2026-02-27)
- 驾驭工程:在「智能体优先」的世界里借力 Codex (2026-02-26)
- 92.6% 开发者每月使用 AI 编码助手,但每周节省时间只有 4 小时 (2026-02-25)
- Coding Agent 有个甜蜜点,多数人直接跳过了 (2026-02-25)
- 同样的模型,为什么 Cursor 跑不过 Claude Code? (2026-02-24)
- Cursor 设计负责人:只会画按钮的设计师,有麻烦了 (2026-02-22)
- OpenAI Codex 产品负责人:代码不再由人类编写,但我们会有更多构建者(Builder) (2026-02-22)
- OpenAI 应用 CTO 和 Codex 负责人:AI 正在重塑构建软件的方式 (2026-02-21)
- Notion CEO:不能被 Agent 用的产品没有未来 (2026-02-19)
- 提示词救不了平庸的 AI 写作 (2026-02-19)
- 用 Claude Code 的 Hook + Skill,实现每次提交后自从 commit 提交变更 (2026-02-18)
- 高中辍学生靠 ChatGPT 自学成才成了 OpenAI 的研究科学家 (2026-02-17)
- 59% 用户投票选了更便宜的那个:Sonnet 4.6 全面解读 (2026-02-17)
- Jeff Dean 深度访谈:一页纸备忘录促成 Gemini 的诞生,Google AI 的反击与 10,000 Token 的未来 (2026-02-17)
- 快不等于好:Anthropic 和 OpenAI 的快速模式藏着什么 (2026-02-15)
- Anthropic CEO Dario Amodei 访谈:我们正在接近指数的终点 (2026-02-14)
- 别再用提示词去 AI 味了,方向就是错的 (2026-02-14)
- 只有 30 个工程师的 X,是怎么重新杀回 App Store 第二的 (2026-02-13)
- 马斯克说今年编程就要死了,你信吗? (2026-02-13)
- OpenAI 智能体工程指南:10 条实战技巧和 3 种构建模式 (2026-02-12)
- 我们真的变成巫师了:OpenAI API 负责人谈 AI 如何重塑软件工程 (2026-02-12)
- xAI 全员大会实录:递归自我改进、5000 万视频/天、月球上的质量驱动器 (2026-02-11)
- PC 软件为手机重做了一遍,现在轮到 Agent 了 (2026-02-11)
- 2026 编程巨变:Anthropic 报告揭示 Agent 编程八大趋势 (2026-02-10)
- 既然 AI 越来越聪明,那么学习提示词不是浪费时间吗? (2026-02-08)
- 【访谈对话】造过 Codex 的人,为什么每天用 Claude Code (2026-02-07)
- 深度解析:Claude Code /insights 命令的运作机制 (2026-02-05)
- 马斯克三小时访谈实录:36 个月后,太空是训练和运行 AI 最便宜的地方 (2026-02-05)
- Claude Code 团队的 10 个内部技巧,但你不一定都要学 (2026-02-03)
- 品味 + 工程思维:AI 时代最难被替代的两件事 (2026-02-03)
- How I Used Codex to "Recover" Lost Source Code in 5 Days (2026-02-01)
Sam Altman Blog
- Sora update #1 (2025-10-04)
- Sora 2 (2025-09-30)
- Abundant Intelligence (2025-09-23)
- Jakub and Szymon (2025-09-09)
- The Gentle Singularity (2025-06-10)
- Three Observations (2025-02-09)
- Reflections (2025-01-06)
- GPT-4o (2024-05-13)
- What I Wish Someone Had Told Me (2023-12-21)
- Helion Needs You (2022-07-13)
- DALL•E 2 (2022-04-06)
- Helion (2021-11-05)
- The Strength of Being Misunderstood (2020-12-01)
- PG and Jessica (2020-09-25)
- Researchers and Founders (2020-06-19)
- Project Covalence (2020-06-16)
- Idea Generation (2020-05-28)
- Please Fund More Science (2020-03-30)
- Funding for COVID-19 Projects (2020-03-15)
- The Virus (2020-03-07)
- Hard Startups (2020-02-26)
- How To Invest In Startups (2020-01-13)
- How To Be Successful (2019-01-24)
- Reinforcement Learning Progress (2018-06-25)
- US Digital Currency (2018-05-10)
- Productivity (2018-04-10)
- A Clarification (2017-12-16)
- E Pur Si Muove (2017-12-14)
- The Merge (2017-12-07)
- American Equity (2017-11-27)
Mario Zechner Blog
- Thoughts on slowing the fuck down (2026-03-25)
- Year in Review 2025 (2025-12-22)
- What I learned building an opinionated and minimal coding agent (2025-11-30)
- Armin is wrong and here’s why (2025-11-22)
- What if you don’t need MCP at all? (2025-11-02)
- Infinite Footguns: Writing a JavaScript Interpreter in JavaScript (2025-10-05)
- MCP vs CLI: Benchmarking Tools for Coding Agents (2025-08-15)
- Patching Claude Code for debugging and /cost support for Max users (2025-08-06)
- cchistory: Tracking Claude Code System Prompt and Tool Changes (2025-08-03)
- Prompts are code, .json/.md files are state (2025-06-02)
- Boxie - an always offline audio player for my 3 year old (2025-04-26)
- Electronic Nights III - Animated LEDs and Buttons (2024-08-22)
- Electronic Nights II - Basic Circuits (2024-08-05)
- Electronic Nights I - Getting Started (2024-07-26)
- macOS code injection for fun and no profit (2024-07-20)
- Two years in review (2024-07-15)
- Dissecting history (2024-07-14)
DHH Blog
- Basecamp becomes agent accessible (2026-03-25)
- Denmark desperately needs more inequality (2026-03-23)
- ONCE (Again) (2026-03-16)
- Omacon comes to New York (2026-02-18)
- Clankers with claws (2026-02-05)
- Cloud gaming is kinda amazing (2026-02-03)
- Promoting AI agents (2026-01-07)
- The O’Saasy License (2025-12-16)
- Europe is weak and delusional (but not doomed) (2025-12-09)
- Fizzy is our fun, modern take on Kanban (and we made it open source!) (2025-12-03)
- Six billion reasons to cheer for Shopify (2025-12-01)
- Local LLMs are how nerds now justify a big computer they don’t need (2025-11-25)
- No backup, no cry (2025-11-24)
- Sabbaticals keep our attrition at bay (2025-10-29)
- Success always spawns haters (2025-10-25)
- A petabyte worth of Omarchy in a month (2025-10-16)
- Give me AI slop over human sludge any day (2025-10-07)
- Pay yourself first (2025-10-04)
- We’ve all had enough of this nonsense (2025-09-26)
- Calling someone a “nazi” is a permission slip for violence (2025-09-24)
- The great falls of Boeing, Intel, and Apple (2025-09-22)
- As I remember London (2025-09-15)
- Apple has no one left who can say no (2025-09-14)
- Words are not violence (2025-09-11)
- Thrice charmed at Rails World (2025-09-06)
- Engineering excellence starts on edge (2025-09-06)
- Omarchy 2.0 (2025-08-26)
- National pride (2025-08-26)
- Omarchy micro-forks Chromium (2025-08-14)
- What do you do with a chance? (2025-08-11)
Armin Ronacher Blog
- Some Things Just Take Time (2026-03-20)
- AI And The Ship of Theseus (2026-03-05)
- The Final Bottleneck (2026-02-13)
- A Language For Agents (2026-02-09)
- Pi: The Minimal Agent Within OpenClaw (2026-01-31)
- Colin and Earendil (2026-01-27)
- Agent Psychosis: Are We Going Insane? (2026-01-18)
- Porting MiniJinja to Go With an Agent (2026-01-14)
- Advent of Slop: A Guest Post by Claude (2025-12-23)
- A Year Of Vibes (2025-12-22)
antirez Blog
- GNU and the AI reimplementations (2026-03-08)
- Redis patterns for coding (2026-03-01)
- Implementing a clear room Z80 / ZX Spectrum emulator with Claude Code (2026-02-24)
- Automatic programming (2026-01-31)
- Don’t fall into the anti-AI hype (2026-01-11)
- Reflections on AI at the end of 2025 (2025-12-20)
- Scaling HNSWs (2025-11-11)
- AI is different (2025-08-13)
- Coding with LLMs in the summer of 2025 (an update) (2025-07-20)
- Human coders are still better than LLMs (2025-05-29)
- What I learned during the license switch (2025-05-02)
- Redis is open source again (2025-05-01)
- Reproducing Hacker News writing style fingerprinting (2025-04-16)
- Vector Sets are part of Redis (2025-04-03)
- AI is useless, but it is our best bet for the future (2025-03-23)
- Big LLMs weights are a piece of history (2025-03-16)
- Reasoning models are just LLMs (2025-02-09)
- We are destroying software (2025-02-08)
- From where I left (2024-12-10)
- Playing audio files in a Pi Pico without a DAC (2024-03-06)
- First Token Cutoff LLM sampling (2024-01-12)
- Translating blog posts with GPT-4, or: on hope and fear (2024-01-09)
- LLMs and Programming in the first days of 2024 (2024-01-02)
- The origins of the Idle Scan (2023-10-19)
- In defense of linked lists (2022-11-04)
- Scrivendo Wohpe (2022-07-17)
- Writing Wohpe (2022-07-17)
- Programming and Writing (2021-05-14)
- The open source paradox (2020-10-03)
- The end of the Redis adventure (2020-06-30)
- Redis 6.0.0 GA is out! (2020-04-30)
- Redis 6 RC1 is out today (2019-12-19)
- Client side caching in Redis 6 (2019-07-04)
- The struggles of an open source maintainer (2019-05-16)
- Redis streams as a pure data structure (2019-03-22)
- Gopher: a present for Redis (2019-02-25)
- An update about Redis developments in 2019 (2019-02-20)
- Why RESP3 will be the only protocol supported by Redis 6 (2018-11-09)
- Writing system software: code comments. (2018-10-06)
- LOLWUT: a piece of art inside a database command (2018-09-12)
- On Redis master-slave terminology (2018-09-06)
- Redis is not “open core” (2018-08-25)
- Redis will remain BSD licensed (2018-08-22)
- Redis Lua scripting: several security vulnerabilities fixed (2018-06-13)
- Clarifications on the Incapsula Redis security report (2018-06-02)
- A short tale of a read overflow (2018-02-07)
- An update on Redis Streams development (2018-01-25)
- Redis PSYNC2 bug post mortem (2017-12-02)
- Streams: a new general purpose data structure in Redis. (2017-10-02)
- Doing the FizzleFade effect using a Feistel network (2017-08-29)
- The mythical 10x programmer (2017-02-28)
- Redis on the Raspberry Pi: adventures in unaligned lands (2017-02-24)
- The first release candidate of Redis 4.0 is out (2016-12-02)
- Random notes on improving the Redis LRU algorithm (2016-07-29)
- Writing an editor in less than 1000 lines of code, just for fun (2016-07-10)
- Programmers are not different, they need simple UIs. (2016-05-24)
- Redis Loadable Modules System (2016-05-10)
- Three ideas about text messages (2016-05-07)
- Redis 3.2.0 is out! (2016-05-06)
- 100 more of those BITFIELDs (2016-02-26)
- The binary search of distributed programming (2016-02-13)
- Is Redlock safe? (2016-02-09)
- Disque 1.0 RC1 is out! (2016-01-02)
- Generating unique IDs: an easy and reliable way (2015-11-21)
- 6 years of commit visualized (2015-11-20)
- Recent improvements to Redis Lua scripting (2015-11-19)
- A few things about Redis security (2015-11-03)
- Moving the Redis community on Reddit (2015-10-22)
- Clarifications about Redis and Memcached (2015-09-26)
- Lazy Redis is better Redis (2015-09-26)
- About Redis Sets memory efficiency (2015-08-28)
- Thanks Pivotal, Hello Redis Labs (2015-07-15)
- Commit messages are not titles (2015-06-23)
- Plans for Redis 3.2 (2015-06-12)
- Adventures in message queues (2015-03-15)
- Redis Conference 2015 (2015-03-10)
- Side projects (2015-02-26)
- Why we don’t have benchmarks comparing Redis with other DBs (2015-01-29)
- Redis latency spikes and the Linux kernel: a few more details (2014-11-03)
- Redis latency spikes and the 99th percentile (2014-10-30)
- This is why I can’t have conversations using Twitter (2014-10-29)
- Diskless replication: a few design notes. (2014-10-27)
- A few arguments about Redis Sentinel properties and fail scenarios. (2014-10-21)
- Redis cluster, no longer vaporware. (2014-10-09)
- Queues and databases (2014-07-14)
- A proposal for more reliable locks using Redis (2014-05-16)
- Using Heartbleed as a starting point (2014-04-10)
- Redis new data structure: the HyperLogLog (2014-04-01)
- Fascinating little programs (2014-03-13)
- What is performance? (2014-02-28)
- Happy birthday Redis! (2014-02-26)
- A simple distributed algorithm for small idempotent information (2014-02-21)
- Redis Cluster and limiting divergences. (2014-01-20)
- Some fun with Redis Cluster testing (2013-12-18)
- Redis as AP system, reloaded (2013-12-11)
- The Redis criticism thread (2013-12-10)
- WAIT: synchronous replication for Redis (2013-12-05)
- Blog lost and recovered in 30 minutes (2013-12-02)
- The fight against sexism is not a free pass (2013-12-01)
- Finally Redis collections are iterable (2013-10-27)
Ryan Dahl Blog
- Humans Are Just Stochastic Parrots (2025-10-10)
- We’re Still Underestimating What AI Really Means (2025-06-14)
- Dear Oracle, Please Release the JavaScript Trademark (2022-09-03)
- City Worker Exchange Program (2022-08-04)
- JavaScript Containers (2022-05-04)
- Optimistic Nihilism (2017-10-22)
- Google Brain Residency (2017-06-06)
- Automatic Colorization (2016-01-08)
- I hate almost all software (2011-09-29)
- Asynchronous I/O in Windows for Unix Programmers (2011-04-26)
The Pragmatic Engineer
- The Pulse: Industry leaders return to coding with AI (2026-04-02)
- Scaling Uber with Thuan Pham (Uber’s first CTO) (2026-04-01)
- What is inference engineering? Deepdive (2026-03-31)
- The Pulse: is GitHub still best for AI-native development? (2026-03-26)
- “How to be a 10x engineer” – interview with a standout dev (2026-03-24)
- The Pulse: Is the FDE role becoming less desirable? (2026-03-19)
- Building WhatsApp with Jean Lee (2026-03-18)
- Are AI agents actually slowing us down? (2026-03-17)
- The Pulse: What will the Staff Engineer role look like in 2027 and beyond? (2026-03-12)
- From IDEs to AI Agents with Steve Yegge (2026-03-11)
- How Uber uses AI for development: inside look (2026-03-10)
- The Pulse: AWS region knocked offline by drone attack in historic first (2026-03-05)
- Building Claude Code with Boris Cherny (2026-03-04)
- AI Tooling for Software Engineers in 2026 (2026-03-03)
- The Pulse: Cloudflare rewrites Next.js as AI rewrites commercial open source (2026-02-26)
- Mitchell Hashimoto’s new way of writing code (2026-02-25)
- The Future of Software Engineering with AI: Six Predictions (2026-02-24)
- The Pulse #162: Even fewer middle managers and more flexible teams? (2026-02-19)
- How Codex is built (2026-02-17)
- The Pragmatic Summit recordings and summaries (2026-02-17)
- The programming language after Kotlin – with the creator of Kotlin (2026-02-12)
sean goedecke Blog
- Programming (with AI agents) as theory building (2026-04-03)
- Working on products people hate (2026-03-27)
- Engineers do get promoted for writing simple code (2026-03-26)
- Big tech engineers need big egos (2026-03-14)
- I don’t know if my job will still exist in ten years (2026-03-06)
- Giving LLMs a personality is just good engineering (2026-03-03)
- Insider amnesia (2026-02-23)
- What’s so hard about continuous learning? (2026-02-23)
- LLM-generated skills work, if you generate them afterwards (2026-02-17)
- Two different tricks for fast LLM inference (2026-02-15)
- On screwing up (2026-02-11)
- Large tech companies don’t need heroes (2026-02-08)
- Getting the main thing right (2026-02-05)
- How does AI impact skill formation? (2026-01-31)
- You have to know how to drive the car (2026-01-26)
- How I estimate work as a staff software engineer (2026-01-24)
- I’m addicted to being useful (2026-01-20)
- Crypto grifters are recruiting open-source AI developers (2026-01-17)
- The Dictator’s Handbook and the politics of technical competence (2026-01-05)
- 2025 was an excellent year for this blog (2026-01-03)
- Grok is enabling mass sexual harassment on Twitter (2026-01-02)
- Software engineers should be a little bit cynical (2025-12-28)
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- How good engineers write bad code at big companies (2025-11-29)
- Becoming unblockable (2025-11-26)
- Why it takes months to tell if new AI models are good (2025-11-22)
- Only three kinds of AI products actually work (2025-11-16)
- Writing for AIs is a good way to reach more humans (2025-11-14)
- To get better at technical writing, lower your expectations (2025-11-09)
Philipp Schmid Blog
- How Kimi, Cursor, and Chroma Train Agentic Models with RL (2026-03-28)
- Combine Built-in Tools and Function Calling in the Gemini Interactions API (2026-03-24)
- Developer Guide: Nano Banana 2 with the Gemini Interactions API (2026-03-16)
- How Autoresearch will change Small Language Models adoption (2026-03-10)
- Practical Guide to Evaluating and Testing Agent Skills (2026-03-04)
- Writing a Good AGENTS.md (2026-02-24)
- Agents: Inner Loop vs Outer Loop (2026-02-20)
- Can We Close the Loop in 2026? (2026-02-17)
- Multimodal Function Calling with Gemini 3 and Interactions API (2026-02-13)
- Getting Started with Gemini Deep Research API (2026-02-02)
- The Agent Client Protocol Overview (2026-02-01)
- Gemini Interactions API Quick Start (2026-01-22)
- MCP is Not the Problem, It’s your Server: Best Practices for Building MCP Servers (2026-01-21)
- Transparent PNG Stickers with Nano Banana Pro and Gemini interactions API (2026-01-19)
- Building Agents with the Gemini Interactions API (2026-01-14)
- Introducing MCP CLI: A way to call MCP Servers Efficiently (2026-01-09)
- The importance of Agent Harness in 2026 (2026-01-05)
- 8 Predictions for 2026. What comes next in AI? (2025-12-31)
- Context Engineering for AI Agents: Part 2 (2025-12-04)
- Why (Senior) Engineers Struggle to Build AI Agents (2025-11-26)
- Practical Guide on how to build an Agent from scratch with Gemini 3 (2025-11-21)
- Gemini 3 Prompting: Best Practices for General Usage (2025-11-19)
- Gemini API File Search: A Web Developer Tutorial (2025-11-07)
- Build your first AI Agent with Gemini, n8n and Google Cloud Run (2025-10-30)
- AI Agent Benchmark Compendium (2025-10-15)
- Agents 2.0: From Shallow Loops to Deep Agents (2025-10-12)
- The Rise of Subagents (2025-09-15)
- The 10 Steps for product AI generation with Gemini 2.5 Flash (2025-08-27)
- Memory in Agents, Make LLMs remember. (2025-08-04)
- Google Gemini CLI Cheatsheet (2025-07-24)
- Code Sandbox MCP: A Simple Code Interpreter for Your AI Agents (2025-07-22)
- Integrating Long-Term Memory with Gemini 2.5 (2025-07-03)
- The New Skill in AI is Not Prompting, It’s Context Engineering (2025-06-30)
- Single vs Multi-Agent System? (2025-06-20)
- Zero to One: Learning Agentic Patterns (2025-05-05)
- Google Gemini LangChain Cheatsheet (2025-04-28)
- OpenAI Codex CLI, how does it work? (2025-04-17)
- Model Context Protocol (MCP) an overview (2025-04-03)
- ReAct agent from scratch with Gemini 2.5 and LangGraph (2025-03-31)
- Pass@k vs Pass^k: Understanding Agent Reliability (2025-03-24)
- Google Gemma 3 Function Calling Example (2025-03-14)
- Function Calling Guide: Google DeepMind Gemini 2.0 Flash (2025-03-05)
- From PDFs to Insights: Structured Outputs from PDFs with Gemini 2.0 (2025-02-07)
- Mini-R1: Reproduce Deepseek R1 „aha moment“ a RL tutorial (2025-01-30)
- How to align open LLMs in 2025 with DPO and and synthetic data (2025-01-23)
- Bite: How Deepseek R1 was trained (2025-01-17)
- How to use Anthropic MCP Server with open LLMs, OpenAI or Google Gemini (2025-01-17)
- Fine-tune classifier with ModernBERT in 2025 (2024-12-25)
- How to fine-tune open LLMs in 2025 with Hugging Face (2024-12-20)
- Deploy QwQ-32B-Preview the best open Reasoning Model on AWS with Hugging Face (2024-12-03)
- Deploy Llama 3.2 Vision on Amazon SageMaker (2024-10-17)
- How to Fine-Tune Multimodal Models or VLMs with Hugging Face TRL (2024-09-30)
- Evaluate open LLMs with Vertex AI and Gemini (2024-09-24)
- Evaluate LLMs using Evaluation Harness and Hugging Face TGI/vLLM (2024-09-19)
- Deploy open LLMs with Terraform and Amazon SageMaker (2024-08-05)
- LLM Evaluation doesn’t need to be complicated (2024-07-11)
- Evaluating Open LLMs with MixEval: The Closest Benchmark to LMSYS Chatbot Arena (2024-06-28)
- Train and Deploy open Embedding Models on Amazon SageMaker (2024-06-25)
- Deploy Mixtral 8x7B on AWS Inferentia2 with Hugging Face Optimum (2024-06-18)
- Fine-tune Llama 3 with PyTorch FSDP and Q-Lora on Amazon SageMaker (2024-06-11)
- Fine-tune Embedding models for Retrieval Augmented Generation (RAG) (2024-06-04)
- Understanding the Cost of Generative AI Models in Production (2024-05-27)
- Deploy Llama 3 70B on AWS Inferentia2 with Hugging Face Optimum (2024-05-23)
- Deploy open LLMs with vLLM on Hugging Face Inference Endpoints (2024-05-02)
- Efficiently fine-tune Llama 3 with PyTorch FSDP and Q-Lora (2024-04-22)
- Deploy Llama 3 on Amazon SageMaker (2024-04-18)
- Accelerate Mixtral 8x7B with Speculative Decoding and Quantization on Amazon SageMaker (2024-04-02)
- Deploy Llama 2 70B on AWS Inferentia2 with Hugging Face Optimum (2024-03-26)
- Fine-Tune and Evaluate LLMs in 2024 with Amazon SageMaker (2024-03-12)
- Evaluate LLMs with Hugging Face Lighteval on Amazon SageMaker (2024-03-05)
- How to fine-tune Google Gemma with ChatML and Hugging Face TRL (2024-03-01)
- RLHF in 2024 with DPO and Hugging Face (2024-01-23)
- How to Fine-Tune LLMs in 2024 with Hugging Face (2024-01-23)
- Scale LLM Inference on Amazon SageMaker with Multi-Replica Endpoints (2024-01-11)
- Fine-tune Llama 7B on AWS Trainium (2023-12-21)
- Programmatically manage 🤗 Inference Endpoints (2023-12-20)
- Deploy Mixtral 8x7B on Amazon SageMaker (2023-12-12)
- Deploy Embedding Models on AWS inferentia2 with Amazon SageMaker (2023-11-21)
- Deploy Llama 2 7B on AWS inferentia2 with Amazon SageMaker (2023-11-14)
- Deploy Stable Diffusion XL on AWS inferentia2 with Amazon SageMaker (2023-11-07)
- Amazon Bedrock: How good (bad) is Titan Embeddings? (2023-11-03)
- Evaluate LLMs and RAG a practical example using Langchain and Hugging Face (2023-10-30)
- Deploy Idefics 9B and 80B on Amazon SageMaker (2023-10-12)
- Train and Deploy Mistral 7B with Hugging Face on Amazon SageMaker (2023-10-05)
- Llama 2 on Amazon SageMaker a Benchmark (2023-09-26)
- Fine-tune Falcon 180B with DeepSpeed ZeRO, LoRA and Flash Attention (2023-09-20)
- Fine-tune Falcon 180B with QLoRA and Flash Attention on Amazon SageMaker (2023-09-12)
- Deploy Falcon 180B on Amazon SageMaker (2023-09-07)
- Optimize open LLMs using GPTQ and Hugging Face Optimum (2023-08-31)
- LLMOps: Deploy Open LLMs using Infrastructure as Code with AWS CDK (2023-08-15)
- Deploy Llama 2 7B/13B/70B on Amazon SageMaker (2023-08-07)
- Introducing EasyLLM - streamline open LLMs (2023-08-03)
- Extended Guide: Instruction-tune Llama 2 (2023-07-26)
- LLaMA 2 - Every Resource you need (2023-07-21)
- Fine-tune LLaMA 2 (7-70B) on Amazon SageMaker (2023-07-18)
- Train LLMs using QLoRA on Amazon SageMaker (2023-07-13)
- Deploy LLMs with Hugging Face Inference Endpoints (2023-07-04)
- Optimize and Deploy BERT on AWS inferentia2 (2023-06-28)
- Securely deploy LLMs inside VPCs with Hugging Face and Amazon SageMaker (2023-06-20)
- Deploy Falcon 7B and 40B on Amazon SageMaker (2023-06-07)
- Fine-tune BERT for Text Classification on AWS Trainium (2023-06-06)
- Introducing the Hugging Face LLM Inference Container for Amazon SageMaker (2023-05-31)
- Generative AI for Document Understanding with Hugging Face and Amazon SageMaker (2023-05-23)
- How to scale LLM workloads to 20B+ with Amazon SageMaker using Hugging Face and PyTorch FSDP (2023-05-02)
- Setting up AWS Trainium for Hugging Face Transformers (2023-04-25)
- Train and Deploy BLOOM with Amazon SageMaker and PEFT (2023-04-13)
- Introducing IGEL an instruction-tuned German large Language Model (2023-04-04)
- Efficient Large Language Model training with LoRA and Hugging Face (2023-03-23)
- Deploy FLAN-UL2 20B on Amazon SageMaker (2023-03-20)
- Getting started with Pytorch 2.0 and Hugging Face Transformers (2023-03-16)
- Controlled text-to-image generation with ControlNet on Inference Endpoints (2023-03-03)
- Combine Amazon SageMaker and DeepSpeed to fine-tune FLAN-T5 XXL (2023-02-22)
- Fine-tune FLAN-T5 XL/XXL using DeepSpeed and Hugging Face Transformers (2023-02-16)
- Deploy FLAN-T5 XXL on Amazon SageMaker (2023-02-08)
- Hugging Face Transformers Examples (2023-01-26)
- Getting started with Transformers and TPU using PyTorch (2023-01-16)
- Fine-tune FLAN-T5 for chat and dialogue summarization (2022-12-27)
- Managed Transcription with OpenAI Whisper and Hugging Face Inference Endpoints (2022-12-20)
- Stable Diffusion Inpainting example with Hugging Face inference Endpoints (2022-12-15)
- Stable Diffusion with Hugging Face Inference Endpoints (2022-11-28)
- Document AI: LiLT a better language agnostic LayoutLM model (2022-11-22)
- Multi-Model GPU Inference with Hugging Face Inference Endpoints (2022-11-17)
- Serverless Machine Learning Applications with Hugging Face Gradio and AWS Lambda (2022-11-15)
- Accelerate Stable Diffusion inference with DeepSpeed-Inference on GPUs (2022-11-08)
- Stable Diffusion on Amazon SageMaker (2022-11-01)
- Deploy T5 11B for inference for less than $500 (2022-10-25)
- Outperform OpenAI GPT-3 with SetFit for text-classification (2022-10-18)
- Fine-tuning LayoutLM for document-understanding using Keras and Hugging Face Transformers (2022-10-13)
- Deploy LayoutLM with Hugging Face Inference Endpoints (2022-10-06)
- Document AI: Fine-tuning LayoutLM for document-understanding using Hugging Face Transformers (2022-10-04)
- Custom Inference with Hugging Face Inference Endpoints (2022-09-29)
- Accelerate GPT-J inference with DeepSpeed-Inference on GPUs (2022-09-13)
- Document AI: Fine-tuning Donut for document-parsing using Hugging Face Transformers (2022-09-06)
- Use Sentence Transformers with TensorFlow (2022-08-30)
- Pre-Training BERT with Hugging Face Transformers and Habana Gaudi (2022-08-24)
- Accelerate BERT inference with DeepSpeed-Inference on GPUs (2022-08-16)
- Accelerate Sentence Transformers with Hugging Face Optimum (2022-08-02)
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- Accelerate Vision Transformer (ViT) with Quantization using Optimum (2022-07-19)
- Optimizing Transformers for GPUs with Optimum (2022-07-13)
- Hugging Face Transformers and Habana Gaudi AWS DL1 Instances (2022-07-05)
- Optimizing Transformers with Hugging Face Optimum (2022-06-30)
- Convert Transformers to ONNX with Hugging Face Optimum (2022-06-21)
- Setup Deep Learning environment for Hugging Face Transformers with Habana Gaudi on AWS (2022-06-14)
- Static Quantization with Hugging Face
optimumfor ~3x latency improvements (2022-06-07) - Advanced PII detection and anonymization with Hugging Face Transformers and Amazon SageMaker (2022-05-31)
- An Amazon SageMaker Inference comparison with Hugging Face Transformers (2022-05-17)
- Semantic Segmantion with Hugging Face’s Transformers and Amazon SageMaker (2022-05-03)
- Automatic Speech Recogntion with Hugging Face’s Transformers and Amazon SageMaker (2022-04-28)
- Serverless Inference with Hugging Face’s Transformers, DistilBERT and Amazon SageMaker (2022-04-21)
- Accelerated document embeddings with Hugging Face Transformers and AWS Inferentia (2022-04-19)
- Save up to 90% training cost with AWS Spot Instances and Hugging Face Transformers (2022-03-22)
- Speed up BERT inference with Hugging Face Transformers and AWS Inferentia (2022-03-16)
- Creating document embeddings with Hugging Face’s Transformers and Amazon SageMaker (2022-03-08)
- Autoscaling BERT with Hugging Face Transformers, Amazon SageMaker and Terraform module (2022-03-01)
- Multi-Container Endpoints with Hugging Face Transformers and Amazon SageMaker (2022-02-22)
- Asynchronous Inference with Hugging Face Transformers and Amazon SageMaker (2022-02-15)
- Deploy BERT with Hugging Face Transformers, Amazon SageMaker and Terraform module (2022-02-08)
- Task-specific knowledge distillation for BERT using Transformers and Amazon SageMaker (2022-02-01)
- Distributed training on multilingual BERT with Hugging Face Transformers and Amazon SageMaker (2022-01-25)
- Financial Text Summarization with Hugging Face Transformers, Keras and Amazon SageMaker (2022-01-19)
- Deploy GPT-J 6B for inference using Hugging Face Transformers and Amazon SageMaker (2022-01-11)
- Image Classification with Hugging Face Transformers and
Keras(2022-01-04) - Workshop: Enterprise-Scale NLP with Hugging Face and Amazon SageMaker (2021-12-29)
- Hugging Face Transformers with Keras: Fine-tune a non-English BERT for Named Entity Recognition (2021-12-21)
- New Serverless Transformers using Amazon SageMaker Serverless Inference and Hugging Face (2021-12-15)
- Hugging Face Transformers BERT fine-tuning using Amazon SageMaker and Training Compiler (2021-12-07)
- MLOps: Using the Hugging Face Hub as model registry with Amazon SageMaker (2021-11-16)
- A remote guide to re:Invent 2021 machine learning sessions (2021-11-11)
- MLOps: End-to-End Hugging Face Transformers with the Hub and SageMaker Pipelines (2021-11-10)
- Going Production: Auto-scaling Hugging Face Transformers with Amazon SageMaker (2021-10-29)
- Deploy BigScience T0_3B to AWS and Amazon SageMaker (2021-10-20)
- Scalable, Secure Hugging Face Transformer Endpoints with Amazon SageMaker, AWS Lambda, and CDK (2021-10-06)
- Few-shot learning in practice with GPT-Neo (2021-06-05)
- Distributed Training: Train BART/T5 for Summarization using 🤗 Transformers and Amazon SageMaker (2021-04-09)
- Multilingual Serverless XLM RoBERTa with HuggingFace, AWS Lambda (2020-12-17)
- Serverless BERT with HuggingFace, AWS Lambda, and Docker (2020-12-06)
- AWS Lambda with custom docker images as runtime (2020-12-02)
- New Serverless BERT with Huggingface, AWS Lambda, and AWS EFS (2020-11-15)
- efsync my first open-source MLOps toolkit (2020-11-04)
- My path to become a certified solution architect (2020-10-24)
- Create custom Github Action in 4 steps (2020-09-25)
- Fine-tune a non-English GPT-2 Model with Huggingface (2020-09-06)
- Mount your AWS EFS volume into AWS Lambda with the Serverless Framework (2020-08-12)
- Serverless BERT with HuggingFace and AWS Lambda (2020-06-30)
- How to use Google Tag Manager and Google Analytics without Cookies (2020-06-06)
- BERT Text Classification in a different language (2020-05-22)
- Scaling Machine Learning from ZERO to HERO (2020-05-08)
- Getting Started with AutoML and AWS AutoGluon (2020-04-20)
- K-Fold as Cross-Validation with a BERT Text-Classification Example (2020-04-07)
- How to Set Up a CI/CD Pipeline for AWS Lambda With GitHub Actions and Serverless (2020-04-01)
- Set up a CI/CD Pipeline for your Web app on AWS with Github Actions (2020-03-25)
- Getting started with CNNs by calculating LeNet-Layer manually (2020-02-28)
- Google Colab the free GPU/TPU Jupyter Notebook Service (2020-02-26)
Matt Shumer Blog
- Something Big Is Happening (2026-02-09)
- My GPT-5.3-Codex Review: Full Autonomy Has Arrived (2026-02-05)
- GPT-5.2 Pro Deep Dive: I Can’t Live Without It (2025-12-09)
- GPT-5.2 Review: Incredibly Impressive, But Too Slow (2025-12-09)
- My GPT-5.1 Pro Review: An Absolute Monster, But Trapped In The Wrong Interface (2025-11-19)
- My Gemini 3 Review (2025-11-18)
- My GPT-5 Review: Vibe Coding Graduates to Real Software (2025-08-07)
Bassim Eledath Blog
- An Autonomous Game Factory with Claude Code and a $24 VPS (2026-04-01)
- 10x Your Claude Code Window Size with Dispatch (2026-03-12)
- The 8 Levels of Agentic Engineering (2026-03-12)
Rob Zolkos Blog
- Deep Dive: How Claude Code’s /insights Command Works (2026-02-04)
- So where can we use our Claude subscription then? (2026-01-12)
- A Month Exploring Fizzy (2026-01-02)
- Fizzy’s Pull Requests: Who Built What and How (2025-12-10)
- Fizzy Design Evolution: A Flipbook from Git (2025-12-08)
- Vanilla CSS is all you need (2025-12-03)
- The Making of Fizzy, Told by Git (2025-12-02)
- Fizzy Webhooks: What You Need to Know (2025-12-02)
- A Mermaid Validation Skill for Claude Code (2025-11-26)
- First Impressions of Sonic (the stealth xAi Grok coding model?) (2025-08-23)
Chris Gregori Blog
- Code Is Cheap Now. Software Isn’t. (2026-01-10)
- How I Stopped Paying £38/Month Per Database (and Got Microsecond Response Times) (2025-12-29)
- Leveraging AI as an infinitely patient teacher (2025-12-22)
- Stream Reddit Comments using Elixir, Pythonx and PRAW (2025-06-27)
- From Ephemeral Idea to Live SaaS Waitlist in 120 Minutes (2025-06-18)
- Parsing PDFs (and more) in Elixir using Rust (2025-01-29)
- Implementing Google Authentication in a LiveView Application (2024-05-08)
- Erlang/OTP 26 Highlights (2023-05-16)
- Elixir hot code swapping to the rescue (2023-05-10)
- Burnout as an Indiehacker (2023-05-03)
- Setting up a Google Chrome shortcut to Elixir documentation in 30 seconds (2023-01-06)
- Using ETS to speed up database imports by almost 300% (2022-08-08)
- How to build the simplest feature flag system in Elixir & Phoenix apps (2022-08-03)
- Triggering repeatable animations from the server in LiveView & Elixir (2022-07-22)
- Custom JSON encoding for structs in Elixir with Jason (2022-07-20)
- 10 tips for new Elixir developers (2022-07-02)
- 5 scary Git commands you’ll eventually have use for (2022-06-30)
- Why do developers experience so much imposter syndrome? (2022-06-29)
- Embracing your own platform for blogging (2022-06-24)
Addy Osmani Blog
- The Code Agent Orchestra - what makes multi-agent coding work (2026-03-26)
- Comprehension Debt - the hidden cost of AI generated code. (2026-03-14)
- The Factory Model: How Coding Agents Changed Software Engineering (2026-02-25)
- Stop Using /init for AGENTS.md (2026-02-23)
- Bias Toward Action (2026-02-15)
- 14 More Lessons from 14 years at Google (2026-02-12)
- Claude Code Swarms (2026-02-05)
- Agentic Engineering (2026-02-04)
- Self-Improving Coding Agents (2026-01-31)
- How to write a good spec for AI agents (2026-01-13)
Uwe Friedrichsen Blog
- It has never been about code (2026-04-03)
- In search of resilience (2026-03-13)
- You are not left behind (2026-02-20)
- Forget technical debt (2026-01-30)
- We default to addition (2026-01-09)
- AI and the ironies of automation - Part 2 (2025-12-12)
- AI and the ironies of automation - Part 1 (2025-11-21)
- It is your fault if your application is down (2025-10-31)
- Solving the wrong problem (2025-10-10)
- The process deadlock (2025-09-19)
- A note about eventual consistency - Part 2 (2025-08-29)
- A note about eventual consistency - Part 1 (2025-08-08)
- Thoughts on AI and software development - Part 5 (2025-07-18)
- Thoughts on AI and software development - Part 4 (2025-06-27)
- Thoughts on AI and software development - Part 3 (2025-06-06)
- Thoughts on AI and software development - Part 2 (2025-05-16)
- Thoughts on AI and software development - Part 1 (2025-04-25)
- (Un)coupling in distributed systems - Part 2 (2025-04-04)
- (Un)coupling in distributed systems - Part 1 (2025-03-14)
- The long way towards resilience - Part 10 (2025-02-21)
- The long way towards resilience - Part 9 (2025-01-31)
- The long way towards resilience - Part 8 (2025-01-10)
- The long way towards resilience - Part 7 (2024-12-13)
- The long way towards resilience - Part 6 (2024-11-22)
- The long way towards resilience - Part 5 (2024-11-01)
- The long way towards resilience - Part 4 (2024-10-11)
- The long way towards resilience - Part 3 (2024-09-20)
- The long way towards resilience - Part 2 (2024-08-30)
- The long way towards resilience - Part 1 (2024-08-09)
- Projects considered harmful - Part 2 (2024-07-19)
- Projects considered harmful - Part 1 (2024-06-28)
- Responsible IT - Part 2 (2024-06-07)
- Responsible IT - Part 1 (2024-05-17)
- The need-vs-want dilemma (2024-04-26)
- Software - It’s not what you think it is - Part 7 (2024-04-05)
- Software - It’s not what you think it is - Part 6 (2024-03-15)
- Software - It’s not what you think it is - Part 5 (2024-02-23)
- Software - It’s not what you think it is - Part 4 (2024-02-02)
- Software - It’s not what you think it is - Part 3 (2024-01-12)
- Software - It’s not what you think it is - Part 2 (2023-12-22)
- Software - It’s not what you think it is - Part 1 (2023-12-01)
- Back to the future (2023-11-10)
- Rethinking job ads - Part 2 (2023-10-20)
- Rethinking job ads - Part 1 (2023-09-29)
- Forget efficiency (2023-09-08)
- ChatGPT already knows - Part 7 (2023-08-18)
- ChatGPT already knows - Part 6 (2023-08-04)
- ChatGPT already knows - Part 5 (2023-07-21)
- ChatGPT already knows - Part 4 (2023-07-07)
- ChatGPT already knows - Part 3 (2023-06-23)
- ChatGPT already knows - Part 2 (2023-06-09)
- ChatGPT already knows - Part 1 (2023-05-19)
- Let’s (not) break up the monolith - Part 2 (2023-04-28)
- Let’s (not) break up the monolith - Part 1 (2023-04-07)
- Reality check (2023-03-17)
- The tail at scale (2023-02-24)
- Watch your time - Part 2 (2023-02-03)
- Watch your time - Part 1 (2023-01-13)
- Keeping the balance (2022-12-16)
- Towards greener requirements (2022-12-02)
- People only change in pain - Part 2 (2022-11-11)
- People only change in pain - Part 1 (2022-10-21)
- The right dose of resilience (2022-09-30)
- The business case of resilient software design (2022-09-09)
- The missing ops-dev feedback loop (2022-08-19)
- The 100% availability trap (2022-07-29)
- Why we need resilient software design - Part 5 (2022-07-15)
- Why we need resilient software design - Part 4 (2022-07-01)
- Why we need resilient software design - Part 3 (2022-06-17)
- Why we need resilient software design - Part 2 (2022-06-03)
- Why we need resilient software design - Part 1 (2022-05-20)
- Resilience vs. Fault tolerance (2022-05-06)
- Resilience (2022-04-22)
- In search of a robust change model (2022-03-25)
- The public cloud revolution - Part 2 (2022-03-11)
- The public cloud revolution - Part 1 (2022-02-25)
- Leaving the rat race - Part 6 (2022-02-11)
- Leaving the rat race - Part 5 (2022-01-28)
- Leaving the rat race - Part 4 (2022-01-14)
- Leaving the rat race - Part 3 (2021-12-17)
- Leaving the rat race - Part 2 (2021-12-03)
- Leaving the rat race - Part 1 (2021-11-19)
- The non-existence of ACID consistency - Part 4 (2021-11-05)
- The non-existence of ACID consistency - Part 3 (2021-10-22)
- The non-existence of ACID consistency - Part 2 (2021-10-08)
- The non-existence of ACID consistency - Part 1 (2021-09-24)
- The disruption delay (2021-09-10)
- The limits of standardization (2021-08-27)
- The non-functional-no-value trap (2021-08-13)
- People are not resources (2021-07-30)
- The industrialization of IT fallacy (2021-07-16)
- Quality - The unknown entity - Part 4 (2021-07-02)
- Quality - The unknown entity - Part 3 (2021-06-18)
- Quality - The unknown entity - Part 2 (2021-06-04)
- Quality - The unknown entity - Part 1 (2021-05-21)
- The importance of comments - Part 3 (2021-05-07)
- The importance of comments - Part 2 (2021-04-30)
- The importance of comments - Part 1 (2021-04-23)
- Don’t make me think! (2021-04-09)
- The importance of documentation (2021-03-19)
- The cloud-ready fallacy (2021-03-05)
- The limits of the Saga pattern (2021-02-19)
- The microservices fallacy - Part 11 (2021-02-05)
- The microservices fallacy - Part 10 (2021-01-29)
- The microservices fallacy - Part 9 (2021-01-22)
- The microservices fallacy - Part 8 (2021-01-15)
- The microservices fallacy - Part 7 (2021-01-08)
- The microservices fallacy - Part 6 (2020-12-18)
- The microservices fallacy - Part 5 (2020-12-11)
- The microservices fallacy - Part 4 (2020-12-04)
- The importance of resilience engineering (2020-11-27)
- The microservices fallacy - Part 3 (2020-11-20)
- The microservices fallacy - Part 2 (2020-11-13)
- The microservices fallacy - Part 1 (2020-11-06)
- The value of speed (2020-10-30)
- The purpose of architecture (2020-10-23)
- Throwing things away (2020-10-16)
- Simplify! - Introduction (2020-10-13)
- Simplify! - Part 15 (2020-10-09)
- The continuous amnesia issue (2020-10-02)
- Simplify! - Part 14 (2020-09-25)
- Simplify! - Part 13 (2020-09-18)
- Simplify! - Part 12 (2020-09-11)
- Simplify! - Part 11 (2020-09-04)
- Simplify! - Part 10 (2020-08-28)
- The laws of architectural work (2020-08-21)
- Open Source Software - Part 3 (2020-08-14)
- Open Source Software - Part 2 (2020-08-07)
- Open Source Software - Part 1 (2020-07-31)
- Simplify! - Part 9 (2020-07-24)
- Simplify! - Part 8 (2020-07-17)
- Worlds apart (2020-07-10)
- Simplify! - Part 7 (2020-07-03)
- Simplify! - Part 6 (2020-06-26)
- Simplify! - Part 5 (2020-06-19)
- Dismiss maturity models (2020-06-12)
- Simplify! - Part 4 (2020-06-05)
- Simplify! - Part 3 (2020-05-29)
- Simplify! - Part 2 (2020-05-22)
- Simplify! - Part 1 (2020-05-15)
- Degrees of uncertainty (2020-05-08)
- Acting under uncertainty (2020-05-01)
- Understanding uncertainty (2020-04-24)
- The invisibility dilemma of software (2020-04-17)
- Legacy systems (2020-04-10)
- The reusability fallacy - Part 4 (2020-04-03)
- The reusability fallacy - Part 3 (2020-03-27)
- The reusability fallacy - Part 2 (2020-03-20)
- The reusability fallacy - Part 1 (2020-03-13)
- The different flavors of IT - Part 2 (2020-03-06)
- The different flavors of IT - Part 1 (2020-02-28)
- The three waves of digital transformation (2020-02-21)
- Systems thinking and quality (2020-02-14)
- The evolution of IT (2020-02-07)
- All models are wrong. Some are useful! (2020-01-31)
- The demise of business processes (2020-01-24)
- The evolution of markets (2020-01-17)
One Useful Thing
- Claude Dispatch and the Power of Interfaces (2026-03-31)
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- Management as AI superpower (2026-01-27)
- Claude Code and What Comes Next (2026-01-07)
- The Shape of AI: Jaggedness, Bottlenecks and Salients (2025-12-20)
- Three Years from GPT-3 to Gemini 3 (2025-11-18)
- Giving your AI a Job Interview (2025-11-12)
- An Opinionated Guide to Using AI Right Now (2025-10-19)
- Real AI Agents and Real Work (2025-09-29)
- On Working with Wizards (2025-09-11)
- Mass Intelligence (2025-08-28)
- GPT-5: It Just Does Stuff (2025-08-07)
- The Bitter Lesson versus The Garbage Can (2025-07-28)
- Against “Brain Damage” (2025-07-07)
- Using AI Right Now: A Quick Guide (2025-06-23)
- The recent history of AI in 32 otters (2025-06-01)
- Making AI Work: Leadership, Lab, and Crowd (2025-05-22)
- Personality and Persuasion (2025-05-01)
- On Jagged AGI: o3, Gemini 2.5, and everything after (2025-04-20)
Han, Not Solo
- A Taxonomy of RL Environments for LLM Agents (2026-03-21)
- It’s-a Me, Agentic AI (2026-02-18)
- The Evaluation Design Lifecycle: From Business Need to Valid Metrics (2025-11-21)
- Databricks’ Strategic Playbook: Reynold Xin on Growth, AI, and the Future of Data Infrastructure (2025-11-06)
- Claude Agent Skills: A First Principles Deep Dive (2025-10-26)
- Enterprise AI Transformation: The 4-Set Framework for IT 3.0 (2025-09-19)
- Statistics for AI/ML, Part 4: pass@k and Unbiased Estimator (2025-09-08)
- How AI Tools Are Reshaping Software Development Team Responsibilities (2025-09-05)
- Tech Hiring in the AI-Native Era (2025-08-29)
- Software Engineering for Data Scientists, Part 1: Pydantic Is All You Need for Poor Performance Spaghetti Code (2025-07-03)
- No Code, Low Code, Real Code (2025-06-26)
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- Prompt Deployment Goes Wrong: xAI Grok’s obsession with White Genocide (2025-05-15)
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- Vibe Coding 101 for Software Engineers (2025-05-04)
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- The Model is the Product (2025-04-23)
- Pro Tips: Model Context Protocol developement on Windows (2025-04-01)
- Walkthrough: Setting Up Claude Code on Amazon Bedrock (2025-03-08)
- Poking Around Claude Code (2025-03-07)
Lance Martin Blog
- Agent design patterns (2026-01-09)
- Claude Diary (2025-12-01)
- Context Engineering in Manus (2025-10-15)
- Learning the Bitter Lesson (2025-07-30)
- Context Engineering for Agents (2025-06-23)
- The state of AI agents (2025-06-10)
- Vibe code benchmark (2025-04-03)
- San Francisco’s Drug Geography (2015-02-28)
- Data hacking notebooks (2015-02-13)
- Digitizing the network (2015-02-10)
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量子位
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C++ Blog
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Rust Blog
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Hacker News
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Github Notifications
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An Issue on commaai/openpilot: building master on comma 4 (2026-04-03 11:44:22)
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A PullRequest on commaai/openpilot: ui: render should not return anything (2026-04-03 10:16:29)
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A Discussion on autowarefoundation/autoware: scan_ground_filter may sometimes fail to remove point clouds at the origin of base_link (2026-04-03 17:35:51)
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A PullRequest on commaai/openpilot: OP model 7 (2026-04-03 15:18:56)