FIELD NOTE / LINKEDIN
Make AI coding inherit the team's actual standards.
The complete written thought and the evidence behind it. The video edition will follow its public release.
The written argument is here.
This approved LinkedIn edition is on the journal now. Its video player and original platform link will appear after each public release is verified.
Make AI coding inherit the team's actual standards.
Video caption
Make AI coding inherit the team's actual standards.
A polished PR can hide an untested route.
Every rule gets an owner, gate and falsifying test.
My rule: A missing run is UNVERIFIED, not a green check.
#EricFieldNotes
Full written post / accessibility read
A mature engineering team has hard-won rules: architecture boundaries, security permissions, test fixtures and product acceptance criteria. Put those into the coding workflow as executable contracts, not a document that each new model run must remember to obey.
If five workers patch five services, one may use a helper that bypasses the tenant guard. A supervising agent can flag the concern, but that message is still advisory unless a trusted test and a scoped service identity make the bypass fail.
For each invariant, record the risky action, pre-call script or permission that constrains it, protected CI fixture, negative control and who reviews exceptions. Keep the gate outside the agent's writable worktree where possible. Include runtime-specific canary results.
Require the actual runtime's denial receipt, fresh CI result and independent post-state readback before merge. Do this because agents can accelerate implementation only when the organization can verify that its own standards still hold.
#EricFieldNotes
Four-beat scene transcript
1. Make AI coding inherit the team's actual standards.
A mature engineering team has hard-won rules: architecture boundaries, security permissions, test fixtures and product acceptance criteria. Put those into the coding workflow as executable contracts, not a document that each new model run must remember to obey.
Visual: An agent needs more than a long instruction file.
2. Agent concurrency multiplies boundary misses.
If five workers patch five services, one may use a helper that bypasses the tenant guard. A supervising agent can flag the concern, but that message is still advisory unless a trusted test and a scoped service identity make the bypass fail.
Visual: A polished PR can hide an untested route.
3. Build a standards-to-evidence map.
For each invariant, record the risky action, pre-call script or permission that constrains it, protected CI fixture, negative control and who reviews exceptions. Keep the gate outside the agent's writable worktree where possible. Include runtime-specific canary results.
Visual: Every rule gets an owner, gate and falsifying test.
4. Review evidence, not assurances.
Require the actual runtime's denial receipt, fresh CI result and independent post-state readback before merge. Do this because agents can accelerate implementation only when the organization can verify that its own standards still hold.
Visual: A missing run is UNVERIFIED, not a green check.
Research and claim limits
- Cursor hooks documentation (S04)
- OpenAI plugin architecture (S06)
- OpenAI Agents SDK/Codex orchestration example (S07)
The examples identified as illustrative or simulated are design probes, not reported incidents. Vendor specifications do not establish workload performance.