Guides · 10 in the series
Code review, done properly
Buying a reviewer does not fix a broken review process — it automates it. These guides cover the practice itself: how review should work, what to check, what to measure, and where automation genuinely helps. No tool required to read them.
What is code review? A practical guide for engineering teams
What code review is actually for, the forms it takes, what the research says it catches, and how to tell whether yours is working — before you spend anything on tooling.
Updated September 17, 2026 [ 02 ]Designing a code review process that survives a growing team
How to define scope, routing, response times and escalation so review stays useful past twenty engineers — and which parts to automate as you grow.
Updated September 17, 2026 [ 03 ]A code review checklist that reviewers actually use
What to look for in a review, in priority order — correctness, security, design, tests, operability — and which items to hand to automation instead.
Updated September 17, 2026 [ 04 ]Code review metrics worth tracking (and the ones that mislead)
Which review measurements predict outcomes, how to baseline them before buying tooling, and why comments-per-PR and lines-of-code will send you the wrong way.
Updated September 17, 2026 [ 05 ]Security code review: what to check, and what to automate
Which vulnerability classes review catches that scanners miss, how to scope security review by risk, and where SAST, dependency scanning and AI review each earn their place.
Updated September 17, 2026 [ 06 ]Code review at scale: monorepos, many teams, and thousands of pull requests
What breaks when review grows past one team — routing, latency, ownership, tooling cost — and the structural fixes that hold at a few hundred engineers.
Updated September 17, 2026 [ 07 ]How to review the growing volume of AI-generated code
Coding agents produce more code than human reviewers can read. What actually changes about review, which failure modes are new, and how to keep a quality bar without becoming the bottleneck.
Updated September 17, 2026 [ 08 ]How to reduce pull request review time (without reviewing less)
Where review time actually goes, which interventions move it, and how to baseline the numbers before you buy anything. The fixes ranked by how much they return.
Updated September 17, 2026 [ 09 ]Reviewing large and complex pull requests
Why big diffs defeat both human reviewers and AI tools, how to review one when splitting is not an option, and what to check in a tool if large changes are normal for your team.
Updated September 17, 2026 [ 10 ]Code review in a monorepo: what breaks and what to fix
Ownership, routing, CI scope and tooling limits in a monorepo — the failures that only appear at scale, and what to test before buying a reviewer for one.
Updated September 17, 2026The glossary · 57 terms
Short definitions for the vocabulary in the guides, the vendor docs and the pricing pages.
The standardThe 9 pillars
What an AI reviewer has to do before it earns a place in the process you just designed.