Workflow
Build an AI Code Review Loop
Catch what agents get wrong before a human reads the PR.
1 min readupdated 2026-08-01
/ quick answer
Insert an automated review layer that checks the classes of mistakes agents actually make. Catch what agents get wrong before a human reads the PR.
Catch what agents get wrong before a human reads the PR. The problem it solves: Agent-generated PRs arrive faster than humans can review, so review quality collapses. Insert an automated review layer that checks the classes of mistakes agents actually make. It runs in 6 steps, starting with run deterministic gates first: typecheck, lint, tests, bundle size. no ai needed. This workflow node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Problem
Agent-generated PRs arrive faster than humans can review, so review quality collapses.
Solution
Insert an automated review layer that checks the classes of mistakes agents actually make.
Steps
- 01Run deterministic gates first: typecheck, lint, tests, bundle size. No AI needed.
- 02Add an AI reviewer with a specific rubric: error handling, security, dead code, scope creep.
- 03Require the reviewer to cite file and line for every finding — no vague advice.
- 04Auto-block on security and scope-creep findings; treat style notes as comments.
- 05Loop the findings back to the coding agent for one fix attempt before human review.
- 06Track which finding types recur and promote them into project rules.
Tools Used
Prompts Used
Related Dictionary
/ frequently asked
What does the Build an AI Code Review Loop workflow do?
Insert an automated review layer that checks the classes of mistakes agents actually make.
What problem does Build an AI Code Review Loop solve?
Agent-generated PRs arrive faster than humans can review, so review quality collapses.
How many steps does Build an AI Code Review Loop take?
6 steps. It starts with run deterministic gates first: typecheck, lint, tests, bundle size. no ai needed. and ends with track which finding types recur and promote them into project rules..
Which tools does Build an AI Code Review Loop need?
It uses coding-agent-stack, ai-testing-stack — each linked below with its own node.
↳ connected nodes
Dictionary↳ linked
AI Software Engineering
AI software engineering is the practice of building software where agents write most of the code and humans own architecture, review and verification.
Dictionary↳ linked
Coding Agent
A coding agent reads a repository, plans a change, edits files, runs tests and iterates until the task passes — instead of just suggesting snippets.
Tool Stack↳ linked
Coding Agent Stack
Run coding agents with executable feedback and reviewable diffs.
Tool Stack↳ linked
AI Testing Stack
Test deterministic code and probabilistic AI output in one pipeline.
Prompt↳ linked
AI Code Review Rubric Prompt
A reviewer prompt that finds real defects instead of style opinions.
Dictionary↳ linked
AI Testing
AI testing covers two things: using AI to generate and maintain tests, and testing AI systems whose output is non-deterministic.
Comparison↳ linked
Coding Agent vs Autocomplete Copilot
Copilots accelerate typing; coding agents complete tasks. Different unit of work, different review burden.
Use Case↳ linked
Two-Founder Startup Ships Like a Team of Six
Coding agents plus a hard verification gate replaced three planned hires.