Stripe's coding agents: the walls matter more than the model
(Part of my Today I Learned series)
Stripe merges over 1,300 AI-written pull requests every week, and almost every
Anup Jadhav
I'm an AI and Software Engineer with 20+ years of technology leadership experience, currently focusing on Generative AI and Agentic AI architectures. I specialize in developing Agentic AI systems that solve complex business problems.
Deep Blue
Part of my Today I Learned series. Short posts on things that made me think.
Simon Willison and the Oxide
TIL: The real bottleneck in AI coding isn't speed
Both Anthropic and OpenAI shipped "fast inference" this week, and their approaches reveal two very different bets. Anthropic
TIL: Markov Language
Programming languages were designed to make code easy for humans to write. But Davis Haupt argues we've been
AI-Value-Creation
Become an AI Value Creator
Part 1 of a five-part premium series for technical leaders. From data strategy to governance to what comes after the hype cycle, this is the blueprint for building AI that actually compounds.
claude-code
Claude Code Tips From the Guy Who Built It
Boris Cherny created Claude Code at Anthropic. Over three Twitter threads (early January, late January, and February 2026), he shared
TIL: Learning New Tech With AI Assistance Might Backfire
A study of 52 developers found that using AI to learn a new Python library led to worse comprehension scores, with no speed improvement. Here's what actually works.
Agentic Architecture
Temporal + LangGraph: A Two-Layer Architecture for Multi-Agent Coordination
Using Temporal and LangGraph for multi-agent systems in production solves retries, state persistence, and failures.
AI's Naughty and Nice List
AI's best and worst moments came from the same companies in 2025
Vibe Coding
Why AI Coding Advice Contradicts Itself
If you don't know what you're doing, AI fails with death by a thousand cuts.
AI Engineering
The Context Advantage
How to Turn AI Agents into High-Leverage Teammates
Engineering teams evolve from coders to orchestrators
What I like about "Conductors to Orchestrators: The Future of Agentic Coding" by Addy Osmani is that it
RAG
RAG at Scale: What It Takes To Serve 10,000 Queries A Day
Agentic Architecture
Understanding Generative UI
A Layered Walkthrough of the Generative UI paper everyone is talking about
LLMs develop distinct trading personalities when given real money
Six LLMs each received $10,000 to trade perpetual futures with zero human intervention, and Claude Sonnet 4.5 almost
AI Agents
Senior Developers Are Better at Using AI Agents
Experience matters more than prompt engineering. Senior developers outperform juniors with AI agents because they have decades of pattern recognition. They know what good code looks like, what to ask for, and when the AI is wrong.
pgvector doesn't scale
It’s funny how engineers (myself included) assume that if you can store vectors in Postgres, you should. The logic
TIL: How Transformers work
If you want to actually understand transformers, this guide nails it. I've read a bunch of explanations and
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