/developer-experience-ai

Faster delivery without lower quality

I build the tools and standards that make good engineering the default.

Architectural invariants

  1. Conventions live in code and machine-checkable rules, not wikis.
  2. Design happens before code, and a template keeps it under two hours.
  3. Pipelines are composed from shared building blocks, never copy-pasted.
  4. AI reviewers check the rules so humans can review the design.

Proof in production

  • Created a “deliver faster without compromising quality” workflow that cut technical design doc time from 2 days to 2 hours.
  • Built a library of reusable GitHub Actions adopted across engineering, data science and data engineering.
  • Wrote AGENTS.md coding rules that AI review agents cite in pull request comments.
  • Raised test coverage 25% and halved failed weekend health-check alerts.
  • Built new-hire laptop setup automation and a reference service that shows the team's patterns.