AI-Driven Development (without vibe coding)

AI-driven development (also written AI driven development — and in Danish AI-drevet udvikling) is a workflow where AI helps you design and implement software every day, while humans keep full accountability for correctness, security, and operations.

The failure mode is obvious: you start trusting output because it looks right. That’s vibe coding. The fix is also boring: keep AI inside explicit contracts and verify changes like an adult.

The boring method: GS-TDD (Red → Gold → Refactor)

I treat AI as a powerful assistant inside a test-driven loop called Gold Standard TDD (GS-TDD).

  1. Red: write a failing test that defines behavior.
  2. Gold: implement the simplest boringly-correct solution (hardcoded is OK).
  3. Refactor: improve the internals while keeping behavior unchanged.

The Boring AI Checklist (quick version)

  • Define the contract: tests describe what must remain true.
  • Verify, don’t trust: run tests, lint, build.
  • Prefer small diffs: keep changes reviewable.
  • Keep prompts in the diff: the “why” belongs in PRs, comments, or docs — not in someone’s head.
  • Review like it’s human code: naming, invariants, error handling, boundaries.
  • Guard risky edges: auth, data loss, security headers, rate limits.
  • Watch production: logs/metrics/alerts should confirm the change behaved.
  • Rollback is a feature: know how you undo the change.

AI-driven development lifecycle (in practice)

When people search “AI driven development”, they often expect a concrete loop. Here’s the boring version:

  1. Clarify intent: what’s the user-visible change?
  2. Write the test: encode that intent as a contract.
  3. Generate/implement: use AI to draft code inside the constraints.
  4. Review: treat output like any other code.
  5. Run: tests, lint, build.
  6. Observe: verify behavior in real environments.
  7. Ship: small releases, easy rollback, boring ops.

Start here (the cluster)

If you only read a few things, read these in order:

FAQ

This page includes FAQ schema for search engines. The real content is the method and the link cluster above.