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Code Factory: How to setup your repo as so your agent can... | Tech Twitter
Code Factory: How to setup your repo as so your agent can auto write and review 100% of your code
Ryan Carson@ryancarson · February 16, 2026 · 4 min read
Before you dive in
• Learn how to configure your repo so AI agents can autonomously write, review, and merge code using risk-aware gates, SHA validation, and automated...
Best for builders who want practical takeaways. 4 min read.
Evidence (tests + browser + review) is machine-verifiable
Findings turn into repeatable harness cases
The specific review agent can be @greptile, @coderabbitai, CodeQL + policy logic, custom LLM review, or another service. The control-plane pattern stays the same.
I took inspiration from this helpful blog post by @_lopopolo
The high-level flow
1) Keep one machine-readable contract
Your contract should define:
risk tiers by path
required checks by tier
docs drift rules for control-plane changes
evidence requirements for UI/critical flows
Why it matters: it removes ambiguity and prevents silent drift between scripts, workflow files, and policy docs.
2) Gate preflight before expensive CI
A reliable pattern is:
run `risk-policy-gate` first
verify deterministic policy + review-agent state
only then start `test/build/security` fanout jobs
This avoids wasting CI minutes on PR heads that are already blocked by policy or unresolved review findings.
3) Enforce current-head SHA discipline
This was the biggest practical lesson from real PR loops.
Treat review state as valid only when it matches the current PR head commit:
