22.5Long-Term (2028+)

Self-Writing Test Suites

The AI continuously monitors the application, detects changes, generates tests, runs them, and reports issues — with humans reviewing rather than authoring:

Application updated →
  Agent detects changes →
    Agent generates new tests →
      Agent runs all tests →
        Agent reports issues →
          Developer fixes bugs → (repeat)

Visual Testing at Scale

Vision models comparing screenshots across versions, browsers, and devices. Frontier models handle this well already; per-look cost and latency still gate suite-wide use. As on-device and small vision models improve, expect visual assertion to become as cheap as text assertion.

Test-Driven Development with AI

Developer describes a feature → agent generates the test plan → agent generates the code → healer iterates until green → human reviews both. Already partially real with today's coding agents; the missing piece is trust infrastructure (evals, review gates), not capability.