Practice · 2024–now · AI Present

AI-generated test theater

Coverage theater with a chat box. Tests that mirror the bug and never catch it.

AI test-generation theater failed because coverage without behavioral contracts is decoration. Generated tests stick when humans specify invariants and review assertions. The fad was green dashboards from mirrored implementation; the stuck practice is property tests and parity checks owned by people.

Cost of the fad

LLMs wrote tests that boosted coverage and asserted nothing. Green CI, false confidence — eval theater's cousin in the test suite.

Case studies

Patterns

Context

Demos consolidate; evals remain

AI pair programming changed how code is typed faster than how it is reviewed. Agent frameworks and standalone vector stores sorted into demos versus durable plumbing; mid-market RAG folded back into Postgres. The permanent layer is familiar: evals that gate deploys, model routing for cost, tool protocols instead of plugin snowflakes, and humans who own production. Autopilot rewrites and vibe-shipped auth middleware are still big-bang migrations with better slides — and a longer on-call.

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