Making AI work through eval hygiene
Briefly

Making AI work through eval hygiene
"Anthropic shipped three quality regressions in Claude Code that its own evals didn't catch. If this can happen to Anthropic, it most definitely can happen to you."
"The lesson isn't that Anthropic is careless. It's that AI quality is slippery even for teams that obsess over measurement. For everyone else, vibes are a liability."
"Andrej Karpathy coined the term 'vibe coding' to portray the process of describing what you want, letting the model toil away, and trying not to look too closely at the resultant mess."
"Unit tests, integration tests, regression suites, canary deploys: None of these became standard because developers love ceremony. They became standard because eventually the cost of guessing exceeded the cost of measuring."
Anthropic experienced three quality regressions in Claude Code within six weeks, despite having sophisticated evaluation methods. The team adjusted reasoning efforts and implemented a caching optimization that introduced bugs. Additionally, minor changes to prompts negatively impacted coding quality. Users quickly noticed these issues, highlighting that AI quality can be elusive even for dedicated teams. The emphasis is on moving away from 'vibe coding' to more rigorous testing and measurement practices to ensure software quality in AI development.
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