Ten Lessons from Burning Out with AI Coding Agents

Benj Edwards chronicles two months of experimenting with Claude Code, Claude Opus, and Codex to prototype 50+ projects, concluding that AI coding agents are powerful tools that amplify human skill but cannot replace experience: models are brittle outside their training data, true novelty is hard, the last 10% requires human polish, feature creep can derail projects, AGI isn’t here yet, speed isn’t instant, and users may end up busier—so these tools should be seen as amplifiers of human ideas, used with discipline, solid architecture, and careful documentation.