Field Notes / ai-engineering

AI engineering field notes

Reports about putting AI into engineering work without losing review, provenance, or technical ownership.

Scope boundary: This hub covers engineering control. Product safety remains in its own domain.

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System Digital Twin in Four Weeks

How two people built a textual system twin for a large inherited codebase in four weeks.

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Every note in this hub

This list includes published English notes only.

  1. AI Engineering Control

    Two roadmaps make fresh code feel like legacy

    What a repository reveals when the team's real planning horizon is shorter than the official product plan.

    Two roadmaps make fresh code feel like legacy
  2. AI Engineering Control

    Agents work better as advisors

    A practical boundary for agentic engineering when confident automation is still wrong often enough to matter.

    Agents work better as advisors
  3. AI Engineering Control

    Choose the first AI workflow worth changing

    A practical way to find one costly delivery workflow, test whether AI belongs in it, and define a pilot without starting a transformation program.

    Choose the first AI workflow worth changing
  4. AI Engineering Control

    Pilot AI on one real software delivery task

    A bounded pilot method for testing AI in software development with a baseline, human review, stop conditions, and a clear scale-or-stop decision.

    Pilot AI on one real software delivery task

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