How Claude Code Builds a System Prompt
Context engineering in action.
ai, context-engineering, System Prompts
AI & ML, Commentary
The Cathedral, the Bazaar, and the Winchester Mystery House
The following article originally appeared on Drew Breunig’s blog and is being republished here with the author’s permission. In 1998, Eric S. Raymond published the founding text of open source software development, The Cathedral and the Bazaar. In it, he detailed two methods of building software: The bazaar model was enabled by the internet, which […]
ai, coding, software-engineering, spec driven development
The 2nd Phase of Agentic Development
Moving from clones to reimaginings.
ai, dev tools, software-engineering
The Cathedral, the Bazaar, and the Winchester Mystery House
Welcome to the era of sprawling, idiosyncratic tooling.
ai, coding, software-engineering, spec driven development
Learnings from a No-Code Library: Keeping the Spec Driven Development Triangle in Sync
The following is a write up of a talk I delivered at MLOps Community’s “Coding Agents” conference, on March 3rd. There’s a video version of the talk available on YouTube.
ai, policy
We’re Talking About Terms of Use, But the Issue is Embedded Judgment
The biggest buyers will want to audit and influence post-training
ai, software-development
Two Beliefs About Coding Agents
There’s a lot of noise about how AI is changing programming these days. It can be a bit overwhelming.
ai, software-development, spec driven development
Why is Claude an Electron App?
If code is free, why aren’t all apps native?
Agents, ai, collaboration, Context, context-engineering, System Prompts
How System Prompts Define Agent Behavior
System prompts matter far more than most assume. A given model sets the theoretical ceiling of an agent’s performance, but the system prompt determines whether this peak is reached.
ai, Context, dspy, RLMs
The Potential of RLMs
Handling Your Long Context Today & Designing Your Agent Tomorrow