Pull Request Checklist: 4 Guarantees, Repo Templates Included

A pull request checklist must guarantee four things: the change explains its own intent, the diff is small enough to test with confidence, automated checks pass on the latest commit, and reviewers follow explicit verification steps before approving. Everything below turns that into copy-paste templates and repo tooling you can install today, organized the way a reviewer’s brain actually works: intent, then design, then detail, then verdict.

TL;DR:

• Authors should keep diffs under 250 lines to facilitate faster reviews and avoid justifying larger changes, with a recommended split at 400 lines unless justified.
• Reviewers focus on understanding the intent from the description and ticket before evaluating design decisions, rather than starting line by line immediately.
• Checklists should be categorized into code quality, security, performance, testing, and documentation, with manual review of security and inputs remaining essential despite automation.
• Embedding structured checklists into the repository via templates and automation ensures consistent adherence and faster merge discipline.
• Using evidence-based tools like Veridical can identify issues manual reviews might miss, especially in large or complex codebases, supplementing human judgment effectively.

Table of Contents

• Author Checklist: What To Do Before You Open a PR
• Reviewer Workflow: How To Approach and Score a PR
• Core Quality Checks: Code, Security, Performance, Testing, and Docs
• How Do You Bake a Checklist Into Your Repo?
• Sizing, Timelines, and Merge Discipline
• Why Structured Checklists Actually Improve Review Outcomes
• Perspective: Making Checklists Teachable, Not Bureaucratic
• When an Evidence-Based AI Review Complements Your Checklist
• Sources
• FAQ

Author Checklist: What To Do Before You Open a PR

Most review friction starts before a reviewer ever opens the diff. Authors who self-review first cut review cycles dramatically, because they catch the sloppy stuff a human reviewer would otherwise flag and bounce back.

Before requesting review, walk through your own diff as if you were a stranger:

• Read the full diff yourself, not just the files you remember editing.
• Run the test suite, linter, and formatter locally, not just in CI.
• Strip out debug prints, commented-out code, and stray console.log or TODO markers.
• Rebase on the base branch so the diff reflects only your actual change.
• Write a title and summary that explain the “why,” not just the “what.”
• Link the originating issue or ticket and note any migration or rollback steps.

Diff size matters more than most teams admit. Aim for changes under roughly 250 lines, and treat 400 lines as a practical ceiling unless there’s a documented reason (a generated file, a rename, a vendored dependency). A pull request review checklist for faster merges built around smaller diffs consistently shows faster cycle time and better defect detection per line reviewed, because reviewers can hold the whole change in their head at once.

Here’s the minimum author checklist worth pasting into your PULL_REQUEST_TEMPLATE.md:

1. Self-reviewed the full diff.
2. Tests, lint, and formatter pass locally.
3. No debug code, dead imports, or leftover comments.
4. Title and description explain intent and rollback plan.
5. Diff is under 250 lines, or the size is justified in the description.

Pro Tip: If your diff crosses 400 lines, don’t wait for a reviewer to ask. Split it yourself into a scaffolding PR and a logic PR. Reviewers approve two clean 200-line PRs faster than they approve one tangled 500-line PR.

Reviewer Workflow: How To Approach and Score a PR

Good reviewers don’t start at line one of the diff. They start with intent: read the PR description, check the linked ticket, and understand what problem the author is solving before judging how they solved it. Skipping this step is why so many reviews devolve into nitpicking variable names while missing that the entire approach solves the wrong problem.

The sequence that works, drawn from how Google’s engineering reviewer guidance frames the process, looks like this:

1. Read the description and ticket to understand intent.
2. Scan the file tree to locate the core change before the supporting edits.
3. Evaluate the major design decision, not the syntax, first.
4. Read line by line for correctness, edge cases, and style.
5. Batch your comments into one pass instead of trickling them in over hours.
6. Mark each comment as blocking or non-blocking so the author knows what to fix.
7. Give a clear verdict: approve, approve with nits, or request changes.

Reviewers who scan the file tree and main files before a line-by-line pass tend to catch architectural problems earlier, which saves the author from reworking details that get thrown out anyway once the design shifts. If something touches security, auth, or infrastructure outside your expertise, say so and tag the right owner instead of guessing.

Pro Tip: Set a personal SLA: first response within one business day, even if the response is “I need until tomorrow for a proper review.” A PR with zero comments for three days rots faster than one with a quick “still reviewing” note.

Core Quality Checks: Code, Security, Performance, Testing, and Docs

A checklist without categories turns into a vague feeling of “looks fine.” Break it into five buckets and reviewers stop relying on gut instinct.

Code quality: Check naming clarity, single-responsibility functions, duplicated logic that should be extracted, and whether error handling actually handles the error instead of swallowing it silently.

Security: Verify input validation on every external boundary, confirm auth and authorization checks aren’t skipped for “internal” endpoints, scan for hardcoded secrets, and check whether new dependencies carry known CVEs. OWASP’s secure code review guidance is explicit that automated SAST and DAST tools miss contextual issues, which is why manual review of input handling, cryptography, and session management stays mandatory for anything security-sensitive.

Performance: Look for N+1 query patterns, new hot-path code that runs on every request, and bundle-size regressions in frontend changes. If the change touches a known-slow path, ask for before-and-after metrics rather than trusting intuition.

Testing: Confirm unit and integration tests actually cover the new behavior, CI is green on the latest commit, no test is flaky, and coverage hasn’t quietly dropped.

Documentation: Public API changes need doc updates, breaking changes need migration notes, and anything user-facing needs a changelog entry.

A comprehensive checklist built around these categories commonly runs 35 to 51 items across eight categories, which sounds like a lot until you realize most PRs only trigger a handful of them. The size exists so the right items are there when you need them, not so every PR touches every line.

How Do You Bake a Checklist Into Your Repo?

The checklist only works if it lives where authors and reviewers can’t ignore it. That means moving it out of a wiki page nobody reads and into the repo itself.

Start with PULL_REQUEST_TEMPLATE.md. Structure it in two tiers: a short mandatory task list the author must check, and an advisory section reviewers scan but don’t gate on. GitHub and Azure DevOps both support default and branch-specific templates, so you can run a lighter template for docs-only branches and a stricter one for the main branch.

CODEOWNERS entries trigger automatic review requests and, paired with branch protection, can require that owner’s approval before merge. Tools like Shopify’s task-list-checker go further: they programmatically block a merge until every checked box in the PR description is actually checked, turning an honor system into an enforced gate. Reserve automation for the mechanical, repeatable checks. Save human judgment for design tradeoffs and security nuance that a bot can’t evaluate.

Sizing, Timelines, and Merge Discipline

Throughput problems usually trace back to oversized diffs and vague ownership of “who reviews next.” Fix both with a small set of rules everyone follows without debate.

1. Target diffs under 250 lines; split anything approaching 400 unless justified in the description.
2. Set a first-response SLA of one business day, and track it if reviews start slipping.
3. Before merging, confirm CI passed on the latest commit, not a stale one, and every comment thread is resolved.
4. Rebase or merge the base branch in before the final approval, not after.
5. After merging, delete the branch, watch the deploy or health checks, and follow up fast if something breaks.

Skipping step three is the most common failure. A green check mark from three commits ago tells you nothing about the code that’s actually merging.

Why Structured Checklists Actually Improve Review Outcomes

The order of a checklist isn’t arbitrary. It should mirror how reviewers naturally think: intent, then architecture, then code quality, then tests, then a final sanity check.

A checklist that follows this sequence catches more real problems than one organized alphabetically or by file type, because it front-loads the questions that determine whether the rest of the review even matters. If the design is wrong, line-by-line nitpicks are wasted effort.

Comprehensive checklist kits commonly run 35 to 51 items across eight categories, and OWASP’s guidance is clear that manual review of input validation, auth, and cryptography stays necessary no matter how good your automated scanners get. The pattern that holds up across teams: template plus enforcement plus a short reviewer guide, repeated until it’s muscle memory.

Perspective: Making Checklists Teachable, Not Bureaucratic

The best checklists aren’t rules. They’re a senior reviewer’s mental model, written down so a junior engineer doesn’t need three years of scar tissue to develop the same instincts. Keep the mandatory core small, let teams extend advisory items to their own domain, and push everything repetitive onto automation. Humans should spend their attention on judgment calls, not on remembering to check for trailing whitespace.

— Łukasz

When an Evidence-Based AI Review Complements Your Checklist

A checklist tells reviewers what to look for. It doesn’t scale to every dependency, every callback, every edge case buried three files deep in a large repository, and that’s where evidence-based review tools close the gap. Veridical analyzes the diff alongside its repository context, callers, and dependencies, then produces verified findings backed by concrete evidence rather than a generic warning.

Every review ends with a calibrated advisory score built on real-defect F1 projections, so you’re not guessing whether a flagged issue is worth blocking a merge over. That matters most on sensitive code paths, large repositories where human reviewers can’t hold the whole context in their head, or teams without a dedicated security reviewer to run the manual checks OWASP recommends. Open-source projects can run Veridical through the free open-source program, and teams that need more review volume can compare the Standard and Pro plans available. Start with a repository you already trust your checklist on, and see what a verified-findings pass turns up that the human review missed.

Sources

Fork what already works instead of building from scratch: Google’s reviewer guide for reviewer sequencing, OWASP’s cheat sheet for security items, GitHub’s CODEOWNERS docs for domain approvals, and the pr-review-canvas repo for a full interactive checklist template.

• Code review: reviewer guide — Google Engineering Practices
• Secure Code Review Cheat Sheet — OWASP
• Shopify/task-list-checker

FAQ

What Is a Good Pull Request Template?

A good template separates mandatory items (tests pass, self-reviewed, linked ticket) from advisory ones (performance notes, doc updates), and keeps the mandatory list short enough that authors actually complete it. Structure it so PULL_REQUEST_TEMPLATE.md prompts for intent and rollback plan before anything else.

How Do You Properly Submit a Pull Request?

Rebase on the base branch, self-review your own diff, run tests and linters locally, then write a description that explains why the change exists, not just what changed. Keep the diff under roughly 250 lines when possible, since smaller PRs merge faster and catch more defects per line reviewed.

How Do I Check the Status of My Pull Requests?

Check your PR’s status in your GitHub repository’s “Pull requests” tab, where CI checks, review status, and merge conflicts all show up directly on the PR page. Required status checks and CODEOWNERS approvals will show as pending or complete before the merge button unlocks.

What Are the Best Practices for Reviewing Pull Requests?

Read intent before code, evaluate major design decisions before line-by-line details, and batch your comments into one pass marked blocking or non-blocking. Tools like Veridical can supplement this human process by surfacing verified findings and an advisory score on high-risk changes before a human reviewer even opens the diff.

How Much Does Veridical Cost?

Veridical’s Standard plan runs $39 per month, and the Pro plan runs $69 per month, with a Launch tier and free options for open-source projects. Exact feature breakdowns for each tier are listed on the pricing page.

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• Free AI Code Reviews for Open Source
• AI Code Review for GitHub — Verify Before You Merge
• How Veridical beats the leaderboard - and finds more real bugs
• How we would have caught a $100M+ defect that frontier models missed

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