Architecture
8 articles
Spec Kit, BMAD and OpenSpec, and the Cost of Planning First
Three spec-driven-development tools compared for real, with what a controlled benchmark says about their cost and what their own review mechanisms reveal.
Our AI Agent Read the Rule and Took the Shortcut Anyway
An agent read a rule forbidding a shortcut, found the correct command, and took the shortcut anyway. The fix was not a clearer rule.
A Coding Agent Breaks Its Own Rules Before Its Context Fills
A full context window is not the only thing that breaks an AI agent. A separate, measurable failure shows up under pressure alone.
An AI Coding Harness, from Three Tmux Panes to Ten Agents
A tmux-based multi-agent harness worked, until it had to run headless. Here is the wall it hit, and the ten-persona pipeline that replaced it.
Eric Schmidt Never Said Programming Is Dead
Eric Schmidt said most programmers will be replaced by AI within a year. He never said 'programming is dead.' The verified quotes, the debate, and what survives.
We Built a Harness Before It Had a Name
Four projects, four generations of evolution. The most effective AI-agent harness is the one you build from your own mistakes.
For AI Code, the Choice Isn't Adoption or Ban, It's Process
Codeberg bans majority AI-generated repositories. A client's employer mandates AI tools. Microsoft standardizes on its own CLI. Three opposing impulses, and none of them is a verdict on AI-assisted coding done with review.
Why AI Agents Need a Harness, Not Just a Prompt
Prompt engineering, then context engineering. Harness Engineering is the next phase, the runtime environment that makes AI agents reliable in production.