Stop Diffing PRs Manually—Ship Safer Code in Minutes
Follow a simple, reusable AI workflow that turns any GitHub PR into a crisp review—without hype or prompt spaghetti.
- Cut PR review time dramatically while keeping the signal high (risks, edge cases, and failure modes surfaced fast).
- Catch bugs before they ship with structured test ideas and “what could break” checklists tailored to the change.
- Review unfamiliar codebases confidently using a zero-context snapshot—no tribal knowledge required.
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Everything you need to get started
Context: Why PR review is the painful step that silently kills output
Most engineers don’t lose time to “coding.” They lose it to re-loading context and re-checking basics: what changed, what broke, what’s missing, and w
What you’ll build: A repeatable PR Review Packet (context snapshot + prompt pack
Your PR Review Bot is not a chatbot. It’s a packet you assemble in ~5 minutes that gives the model everything it needs to do high-signal review. There
The Complete Solution: Step-by-step setup (one-time) + execution (per PR)
Follow this exactly once to create your reusable PR Review workflow. After that, each PR is fast. ONE-TIME SETUP (30–45 min) Step 1 — Create a repo “C
Per-PR execution: the 8-minute workflow (copy/paste checklist)
Do this each time. The goal is a high-signal AI draft you verify quickly. Step 1 — Gather PR Inputs (2–3 minutes) Paste the following into a single me
Quality guardrails: how to prevent confident nonsense (and make output consisten
Most PR-review-with-AI failures come from missing context and unbounded prompts. Fix both with guardrails. Guardrail 1 — Force citations If the model
What comes next: after PR review is fast, eliminate your next bottleneck (end-to
Now that you can generate a reliable first-pass PR review and test plan, the next leverage point is upstream: preventing low-quality PRs from being op
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