Articles
294 articles, 43 with highlights or notes. Books are on Reading.
With highlights or notes
- src layout vs flat layout - Python Packaging User Guide
- Beyond the Semantic Layer: Building a Context Layer for the Agentic Era | Kaelio
- Monitoring LLM behavior: Drift, retries, and refusal patterns
- Agents as scaffolding for recurring tasks. | Irrational Exuberance
- So I stumbled across this prompt hack a couple weeks back and honestly? I wish I could unlearn it.
- Beyond the Replica: The Case for First-Principles Agents — Chase Hughes
- Useful patterns for building HTML tools
- Spec Driven Development (SDD) vs Plan Research Implement (PRI) using claude : r/ClaudeAI
- Prediction: AI will make formal verification go mainstream — Martin Kleppmann’s blog
- There's got to be a better way!
- What’s Trending in Data Science and ML? Preparing for 2026
- The End of the Train-Test Split
- Meet new Amazon Nova AI models that help build highly reliable AI agents
- Review of Deep Seek OCR
- How o3 and Grok 4 Accidentally Vindicated Neurosymbolic AI
- Product Evals in Three Simple Steps
- How LLM Inference Works
- How evals drive the next chapter in AI for businesses | OpenAI
- Hyperproductivity: The Next Stage of AI?
- AI in Practice Survey 2025
- Agent Labs: Welcome to GPT Wrapper Summer
- What are embeddings?
- Low-Cost LLM-Powered Data Processing with BARGAIN
- If all the world were a monorepo - Julie’s Substack
- How I'm using coding agents in September, 2025
- Claude Sonnet 4.5 is probably the “best coding model in the world” (at least for now)
- Claude Code Framework Wars
- GPT-5 Thinking in ChatGPT (aka Research Goblin) is shockingly good at search
- Best Practices for Building Agentic AI Systems: What Actually Works in Production - UserJot
- Intro To Error Analysis: Creating Custom Data Annotation Apps (4k version)
- Frequently Asked Questions (And Answers) About AI Evals – Hamel’s Blog
- The Great Data Divergence: Why Generative AI Demands a New Approach Beyond the Data Lake - MLOps Community
- TDD, AI agents and coding with Kent Beck
- How we enabled Agents at Scale in the Enterprise with the Agentic AI Mesh
- A Platform-centric Approach to AI-assisted Code Generation at Intuit
- G-EVAL: NLG Evaluation using GPT-4 with Better Human Alignment
- Parameta accelerates client email resolution with Amazon Bedrock Flows | Amazon Web Services
- Generative modelling in latent space
- There Are No New Ideas in AI… Only New Datasets
- A more efficient path to add knowledge to LLMs
- Emerging Patterns in Building GenAI Products
- Interactive LLM-Powered Data Processing with DocWrangler
- Agents
The rest
- How To Use Decision Models for Evals – Hamel’s Blog
- The Expensive-Loop Problem — LessWrong
- A deep dive into Jev, TypeSafe's System One model
- On Ezra Klein’s Podcast With Jensen Huang
- An Agentic Data Science Story - Probably Overthinking It
- Oatmeal - The Seed Beneath the Snow
- Legibility is Ruining You — Jimmy Miller
- The Chasm: The Shape of Unfinished AI Codebases — Jimmy Miller
- Is There a Catholic Way to Read the Bible?
- NFC North Season Forecast: Green Bay Packers | Daily Norseman
- AI Is Making Us Build Too Much
- What is a Harness? | EARENDIL
- The Harness Is the Thing — Scott Fryxell
- TimesFM-3: A zero-shot foundation model for multivariate forecasting
- Evaluating time series foundation model claims – Rob J Hyndman
- Elephants, Goldfish and the New Golden Age of Software Engineering
- No, local models will not win
- Introducing Agentic Search | Mistral
- Birds Don't Fly Like Planes. Neither Does AI.
- AI is removing the middle class of software engineering
- There are no lossless transformations of natural-language text
- Why Agentic Systems Need Ontologies — Frank Coyle, UC Berkeley
- smevals - a small eval suite for evaluating models, prompts, and harnesses | Prime Radiant
- Context Collapse, Part 3 - AI Worming through Word
- The WASTE inference engine
- The Answer to the Harness Question | Daniel Miessler
- Just brute force your embeddings
- Agent behavior
- Claude-of-Duty/prompt.md at main · mshumer/Claude-of-Duty
- Understanding the AI economy
- WTF Is the Context Layer? The Missing Infrastructure for Production Agents — Prukalpa Sankar
- No Going Back: Kathleen Stock’s Case Against Assisted Death - Fairer Disputations
- How to choose an OCR Model
- Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO
- “It’s Hard to Eval” Is a Product Smell – Hamel’s Blog
- Warp CEO Zach Lloyd on why software factories are the next phase of coding
- Veganism and Moral Intuitions
- The text in Claude Code’s “Extended Thinking” output is not authentic. – blog
- The software industry: annealing, but wrong
- 🔬 The Self-Driving Lab — Joseph Krause, Radical AI
- Brain the Size of a Planet: Are LLMs Thonking too Hard?
- Factory 2.0: From coding agents to software factories | Factory.ai
- How Many Immigrants is Too Many?
- We Should Take Text Optimization More Seriously
- Three Labs With a Plan and A Memorandum
- No, Artificial Intelligence Is Not Conscious
- GitHub - shikhar-cyber/12-factor-agents: What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
- Running an AI-native engineering org | Claude
- GitHub's plan for Agents — Kyle Daigle, GitHub
- AI Is Changing How Consultants Get Paid—and Much More, BCG’s CEO Says
- Macro Evals for Agentic Systems
- Exploring Agent-Assisted Qualitative Analysis
- What data science is actually about in the age of AI
- Railway: The Agent-Native Cloud — Jake Cooper
- Better Experiments with LLM Evals — A funnel, not a fork | Spotify Engineering
- Just finished the Claude Code certification and would heavily recommend it to all “vibe coders”
- Agent Evaluation: A Detailed Guide
- What I’m Hearing About Cognitive Debt (So Far)
- AI-Native Healthcare: 100M Doctor Visits, 10–20 Hours Saved, Prior Auth in Minutes — Janie Lee & Chai Asawa, Abridge
- SFT, RL, and On-Policy Distillation Through a Distributional Lens | wh
- New in Claude Managed Agents: dreaming, outcomes, and multiagent orchestration | Claude
- BEWARE SOFTWARE BRAIN
- AI evals are becoming the new compute bottleneck
- REVIEW: The Greatest Knight, by Thomas Asbridge
- The Male Breadwinner Model Was Never Traditional
- Shopify’s AI Phase Transition: 2026 Usage Explosion, Unlimited Opus-4.6 Token Budget, Tangle, Tangent, SimGym — with Mikhail Parakhin, Shopify CTO
- Anthropics works on its always-on agent with UI extensions
- Notion’s Token Town: 5 Rebuilds, 100+ Tools, MCP vs CLIs and the Software Factory Future — Simon Last & Sarah Sachs of Notion
- Building Hierarchical Agentic RAG Systems: Multi-Modal Reasoning with Autonomous Error Recovery
- The next phase of enterprise AI | OpenAI
- Scaling Managed Agents: Decoupling the brain from the hands \ Anthropic
- Superpowers Plugin for Claude Code: The Complete Tutorial
- Claude Code TASKS (New Upgrade): RIP Ralph Loops! Anthropic UPGRADED Claude Code with this FEATURE!
- Using Trapezoids to Visualize Matrix Multiplication, With Applications to Data Science
- UltraThink is Dead. Long Live Extended Thinking. — Decode Claude
- The Bitter Lesson of Agent Frameworks
- Discarding the Shaft-and-Belt Model of Software Development
- Verification-Driven Development (VDD) via Iterative Adversarial Refinement
- How to Process Documents at Scale with LLMs – Hamel’s Blog - Hamel Husain
- Where AI is headed in 2026 - Foundation Capital
- I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit.
- Old-School Interpretability for LLMs
- No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer
- Memory: How Agents Learn
- A Guide to Claude Code 2.0 and getting better at using coding agents
- Superpowers 4
- Introducing Mistral OCR 3
- Contra DSPy and GEPA — Benjamin Anderson
- Olmo 3 and the Open LLM Renaissance
- The Art Behind Better AI: How We Achieved a 46% Speed Boost and 23× Cost Reduction
- Data Quality Design Patterns
- The State of Reinforcement Learning for LLM Reasoning
- Titans + MIRAS: Helping AI have long-term memory
- Tensor Parallelism (TP) in Transformers: 5 Minutes to Understand
- rl-wrong-about-rewards.md
- Beyond the Context Window: A New Approach to Summarizing Big Data
- We Got Claude to Fine-Tune an Open Source LLM
- Time Series Forecasting With TimeGPT
- Context Engineering for AI Agents: Part 2
- Architecting efficient context-aware multi-agent framework for production
- The Q, K, V Matrices
- Making Sense of Memory in AI Agents – Leonie Monigatti
- Defining Reinforcement Learning Down
- How AI Is Transforming Work at Anthropic \ Anthropic
- How prompt caching works - Paged Attention and Automatic Prefix Caching plus practical tips
- The Pragmatic Guide to Federated AI: Building Compliant LLM/XGBoost Pipelines for Sensitive Data
- Building Your Own Schema.org
- Terence Tao (@tao@mathstodon.xyz)
- Search | The Moat of the Search Index
- Deep seek ocr paper
- LLMs can invent their own compression - Rajan Agarwal
- It’s The End Of Observability As We Know It (And I Feel Fine) | Honeycomb
- Ilya Sutskever – We're moving from the age of scaling to the age of research
- Effective harnesses for long-running agents \ Anthropic
- Continuous batching from first principles
- Building agentic RAG with PostgreSQL and n8n
- Benchmark Scores = General Capability + Claudiness
- Gavin Baker on X: "Some thoughts on AI" / X
- Thread by @alexalbert__ on Thread Reader App
- How to Train an LLM: Part 1 - Omkaar Kamath
- Data Warehouse, Data Lake, Data Lakehouse, Data Mesh: What They Are and How They Differ
- Etsy Engineering | Understanding Etsy’s Vast Inventory with LLMs
- The Data People Research Blog
- How DeepSeek OCR Quietly Solved a Billion-Dollar Problem in AI Scaling
- Context engineering is sleeping on the humble hyperlink
- Agent Labs Are Eating the Software World - Log - nibzard
- The Continual Learning Problem
- BOLT - How Mura wrote an in-house LLM Eval Framework
- Superpowers: How I'm using coding agents in October 2025
- Recursive Language Models
- Just Talk To It - the no-bs Way of Agentic Engineering | Peter Steinberger
- Data Modeling for the Agentic Era: Semantics, Speed, and Stewardship
- Advanced RAG Techniques for High-Performance LLM Applications - Graph Database & Analytics
- Vibing a Non-Trivial Ghostty Feature
- Anatomy of a Modern Finetuning API — Benjamin Anderson
- The First Decade as Faculty - Looking Back
- Selecting The Right AI Evals Tool – Hamel’s Blog
- LoRA Without Regret
- Is OpenAI's Reinforcement Fine-Tuning (RFT) Worth It? · TensorZero
- In Defense of AI Evals, for Everyone
- LLM-Deflate: Extracting LLMs Into Datasets
- Building GenAI Systems That Make Business Decisions with Thomas Wiecki (PyMC Labs)
- Blog | parth sareen
- advanced-context-engineering-for-coding-agents/ace-fca.md at main · humanlayer/advanced-context-engineering-for-coding-agents
- Task estimation: Conquering Hofstadter's Law
- Professionals who perform at the top 10% of their respective organizations — what’s something you do that most people around you don’t? : r/productivity
- If all the world were a monorepo
- Agentic AI, Agent Memory, & Context Engineering
- You should be rewriting your prompts
- Meet the GitHub MCP Registry: The fastest way to discover MCP Servers
- The Illustrated Children’s Guide to Kubernetes
- Writing effective tools for AI agents—using AI agents \ Anthropic
- Learning DSPy (1): The power of good abstractions
- GitHub - haasonsaas/dspy-0to1-guide: A comprehensive 0-to-1 guide for building self-improving LLM applications with DSPy framework
- How big are our embeddings now and why?
- The context layer
- SolveIt: The Thinking Developer's Environment w/Jeremy Howard & Johno Whitaker
- Building Agents for Small Language Models: A Deep Dive into Lightweight AI | Matt Suiche
- As an Software Egineer with 20+ years of experience... : r/ClaudeAI
- The Database Has a New User—LLMs—and They Need a Different Database | TigerData
- LLM Evaluation: Practical Tips at Booking.com
- Claude Code and new admin controls for business plans \ Anthropic
- APIs don't make good MCP tools
- X ydecp ek so
- Insights after one month of Claude Code Max : r/ClaudeAI
- DSPy MIPROv2 Configuration Explained – Agent Notes
- Output styles - Anthropic
- Lean Claude Code for Production | Nizar's Blog
- Break Down → Plan → Implement → Verify (My Multi-Model Workflow) : r/ClaudeAI
- Beyond-Naive-RAG--Practical-Advanced-Methods.pdf
- what hidden claude feature changed everything for you : r/ClaudeAI
- Hybrid Search Using Reciprocal Rank Fusion in SQL
- GitHub - snarktank/ai-dev-tasks: A simple task management system for managing AI dev agents
- GitHub - globalaiplatform/langdiff: Progressive UI from LLM
- From GPT-2 to gpt-oss: Analyzing the Architectural Advances
- Claude Code + MCPs for development : r/ClaudeAI
- Agentic Coding Things That Didn’t Work
- Beyond-Naive-RAG--Practical-Advanced-Methods.pdf
- Turning Claude Code into a Development Powerhouse
- Introducing gpt-oss | OpenAI
- GitHub - johnhuang316/code-index-mcp: A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
- GitHub - google/langextract: A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
- Learning the Bitter Lesson
- How Anthropic teams use Claude Code \ Anthropic
- A Field Guide to Rapidly Improving AI Products – Hamel’s Blog
- Leveraging Multimodal LLMs for Shopify’s Global Catalogue: Recap of Ex
- Introducing Amazon S3 Vectors: First cloud storage with native vector support at scale (preview) | Amazon Web Services
- Stop Saying RAG Is Dead – Hamel’s Blog
- Building Eval Tools with FastHTML
- A Developer’s Guide to Building Scalable AI: Workflows vs Agents | Towards Data Science
- What can agents actually do?
- Boring Semantic Layer + MCP = 🔥
- NVIDIA Says Small Language Models Are The Future of Agentic AI
- It is time to take agentic workflows for data work seriously
- You Don’t Need RAG! Build a Q&A AI Agent in 30 Minutes 🚀
- The Future of Work with AI Agents — Insights from a Stanford Study
- Pursuit of Universal Ownership at LinkedIn
- Field Notes From Shipping Real Code With Claude - diwank's space
- Cognition | Don’t Build Multi-Agents
- Agent Patterns with ADK (1 Agent, 5 Ways!)
- 10 Learnings After A Year Of Building AI Agents In Production
- A Multi-Agent SQL Assistant You Can Trust with Human-in-Loop Checkpoint & LLM Cost Control | Towards Data Science
- The AI Eval Flywheel: Scorers, Datasets, Production Usage & Rapid Iteration
- How we built our multi-agent research system \ Anthropic
- How I Use Claude Code | Philipp Spiess
- How Cursor is building the future of AI coding with Claude - YouTube
- AI-assisted coding for teams that can't get away with vibes - nilenso blog
- 58284b19e702b49db9302d5b6f135ad8871e7658
- Journey to 1000 models: Scaling Instagram’s recommendation system
- Infinite tool use
- Enterprise Document AI & OCR | Mistral AI
- Attention Wasn't All We Needed
- The AI Agent Developer’s Bible: Anthropic’s New Guide to Building and Deploying Agents
- Claude Code Best Practices \ Anthropic
- Announcing our 50m series a
- A Field Guide to Rapidly Improving AI Products
- Recent AI model progress feels mostly like bullshit — LessWrong
- GitHub - microsoft/markitdown: Python tool for converting files and office documents to Markdown.
- Not all AI-assisted programming is vibe coding (but vibe coding rocks)
- Claude with MCPs Replaced Cursor & Windsurf — How Did That Happen?
- Adam on X: "1. erase "vibe coding" from your brain 2. download claude code 3. ask your employer to cover costs 3a. use bedrock to add to aws bill 4. start claude code, then /init 4a. (in every package dir if monorepo) 5. add "fetch" mcp server 5a. and "puppeteer" if building for web 6." / X
- Poking Around Claude Code
- LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide - Confident AI
- Mistral OCR | Mistral AI
- Agentic Mesh: Patterns for an Agent Ecosystem
- olmOCR – Open-Source OCR for Accurate Document Conversion
- Understanding Reasoning LLMs
- The Short Case for Nvidia Stock | YouTube Transcript Optimizer
- LLM-as-a-judge on Amazon Bedrock Model Evaluation | Amazon Web Services
- How Most Organizations Get Data Strategy Wrong — and How to Fix It
- Google’s Titans Give AI Human-Like Memory
- DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs
- Dario Amodei — On DeepSeek and Export Controls
- A selfish personal argument for releasing code as Open Source
- DeepSeek FAQ
- Deterministic Quoting: Making LLMs Safer for Healthcare
- Anthropic's new Citations API
- Things we learned about LLMs in 2024
- The Build vs. Buy Dilemma for GenAI Applications
- Tech Blog | ★❤✰ Vicki Boykis ★❤✰
- Statistical Modeling, Causal Inference, and Social Science
- r y x, r – the only blog on the internet robust to heteroskedastic errors
- Paradigm Shifts of Eval in the Age of LLM
- LLM Agents in Production: Architectures, Challenges, and Best Practices
- Julius AI | Your AI Data Analyst
- GenAIOps: Operationalize Generative AI - A Practical Guide
- From Retrieval to Intelligence: Exploring RAG, Agent+RAG, and Evaluation with TruLens
- Evaluation-Driven Development for agentic applications using PydanticAI
- Building effective agents
- AWS Machine Learning Blog
- AI Agent Workflow Design Patterns — An Overview