AI products are easy to change and hard to predict: evals turn 'good' into repeatable tests
FinanceYF5 · x · 2026-09-23
Part 4 of an evals thread: AI products are easy to modify but hard to predict—a single prompt, model, or code change can improve one behavior while breaking another. Evals turn a team's judgment of "good" into repeatable tests that automatically check whether the product still works as expected before release.
Related event: Evals turn 'good' into repeatable release checks for AI products(2 posts)→
More from coding & agent
- Browser Use Bench v2: GPT-6 Sol scores 66.9, beating Opus 5.5 at 3.5x lower cost — airesearch12 · 2026-09-23
- China's AI coding assistant disables features after code data loss found in security audit — pstAsiatech · 2026-09-23
- Rogo Co-founder: Finance Is the Best Fit for 10,000-Agent Swarms Where One Insight Is Worth $50k — rohanpaul_ai · 2026-09-23
- Miles Brundage notes Claude Code mode lets you 'show more' but not 'show less' — Miles_Brundage · 2026-09-23
- jev-gc: reversible context garbage collection for long-running AI agents — Maleficent_College57 · 2026-09-23
- Devs call Effect + Alchemy + Cloudflare a 'superpowers stack' made 100x easier by AI coding — samgoodwin89 · 2026-09-23