What Counts as a Real Agent Improvement? Lessons from Claude.dev's Four Engineering Articles
Using a subscription billing error as a case study, this article analyzes how to systematically improve AI agents through permission separation, task-specific skill management, reproducible error tracking, rigorous evaluation design, controlled hillclimbing optimization, and deployment validation — drawing on four Claude.dev engineering articles.
