How to Write Pull Request Descriptions That Actually Get Reviewed
The single highest-leverage change most engineers can make to their code review experience costs nothing and takes five minutes. They just have to know what to write.
The most common reason code reviews are slow, shallow, or unproductive isn't reviewer laziness or insufficient expertise. It's that the PR description provides so little context that the reviewer has to reconstruct the intent of the change from the code itself — a time-consuming, error-prone process that produces a worse review than would have been possible with adequate context.
The reviewer's job is to evaluate whether the code correctly solves the problem it was written to solve. If the reviewer doesn't know what problem is being solved, they can only evaluate whether the code looks correct in isolation — which misses an entire category of correctness that depends on intent.
What Reviewers Actually Need
A reviewer approaching a PR needs answers to four questions before they can meaningfully evaluate the code. What problem does this change solve? Why is this the right approach (and what was rejected)? What should reviewers specifically look at? Are there any non-obvious decisions or constraints the reviewer should know about?
Most PR descriptions answer none of these questions. They describe what the code does — which the reviewer can determine by reading the diff — rather than why the code does what it does, which the reviewer often cannot determine from the diff alone.
The Template That Works
We use a lightweight PR template across all CodeMouse repositories. It has four sections: Problem (one sentence: what was broken or missing), Solution (two to three sentences: what approach was taken and what was considered and rejected), Testing (how was this verified), and Notes (anything the reviewer should know that isn't obvious from the code).
The Notes section is where the highest-value information usually lives: the third-party API limitation that explains the non-obvious workaround, the performance constraint that explains why the obvious approach was rejected, the compliance requirement that explains why a simpler implementation would be wrong. These are the things that look like unexplained complexity in the code and look like essential context in the PR description.
Screenshots and Before/After for UI Changes
For any change that affects a user interface, a before-and-after screenshot in the PR description reduces review time by 40-60% in our measurement. Reviewers don't have to check out the branch and run the application locally to understand the visual change. They can evaluate it in 30 seconds from the PR description. The engineering cost of taking two screenshots is two minutes. The review time saved is significant.
Links to Context
Every PR description should link to the thing that motivated it: the bug report, the feature request, the architectural decision record, the customer support ticket, the monitoring alert. These links serve two purposes: they help the reviewer understand the full context of the change, and they create a permanent connection between the code change and the reason it was made — invaluable for the future engineer who finds this commit in a git blame and wants to understand what it was solving.
Making It a Team Standard
PR description quality is a team standard, not an individual practice. Add a PR template to your repository (.github/pull_request_template.md) with section headers that prompt the author for the right information. Make the template lightweight enough that it doesn't feel like a bureaucratic chore — four prompts that take five minutes to fill out, not a twelve-section form that takes forty-five minutes. Review the quality of PR descriptions during code review, not just the quality of the code. The investment compounds into a culture where authors provide context as a default, and reviewers can engage with intent rather than guessing at it.
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