Notes on building reliable software with AI in the loop.
Five months, nine projects, sixteen essays. The progression was organic: agent as tool, agent as user, collaborator I could measure, and finally proxy for the smaller judgment calls I used to make myself.
2026-04-29
Unlimited inference does not create productivity by itself. The missing layer is the infrastructure that turns speed into trusted outcomes — routing, state, intent, and judgment.
2026-04-05
Every technology transition wraps the new in the old. AI-assisted development is no different — and that's both why it works and why it won't stay this way.
2026-03-29
mpg evolved from a Discord message router into a multi-agent coordination layer — with personas, handoffs, worktrees, and a dashboard that reveals how we actually work with AI.
2026-03-28
How managing 5-6 concurrent AI coding sessions through SSH and tmux led to building an open-source gateway that routes Discord channels to per-project Claude Code sessions.
2026-03-22
How interviewing ~100 candidates at Amazon revealed that coding quizzes, system design questions, and behavioral interviews all fail to measure what matters most — and why AI makes the problem worse.
2026-03-14
The chatbot era is ending. Tools like OpenClaw signal a shift from using AI to hosting it—and that changes everything about how we design software.
2026-02-10
How agent-assisted development reshapes hiring, performance evaluation, and career growth in software engineering.
2026-01-23
A first-hand analysis of how AI compresses execution time, shifts bottlenecks, and reshapes small-team software development.
2026-01-15