A great pull request is more than just a code change waiting to be merged. It is a clear, well-documented, and self-contained unit of work that tells a story: what changed, why it changed, and how it was tested. When done right, pull requests become a valuable historical record of how a codebase evolved and a foundation for a healthy, collaborative engineering culture.
Here are six best practices for writing better pull requests, and the Bitbucket Cloud features that make each one easier to achieve.
There are times when you want to avoid unnecessary feedback or accidental merging before your pull request is truly ready. Keeping your PRs small and focused on one thing, whether that is a single bug fix, one feature, or a specific improvement, makes the entire review process faster, cleaner, and more productive. As a general rule, aim to keep changes under 250 lines of code. Beyond that, review quality drops and the time to merge increases significantly.
Bitbucket's Draft Pull Requests feature lets you open a PR before the work is complete, clearly signalling to your team that it is still in progress. Merging is blocked and reviewers are not notified until you are ready. You can still use all of Bitbucket's collaborative features to gather early feedback along the way.
To create a draft pull request, simply follow the same steps as a regular pull request. At the final step, instead of selecting "Create," select "Create as Draft."
A pull request without context forces reviewers to become detectives. They have to read through every line of code just to understand what problem is being solved and why this particular approach was chosen. That wastes time and leads to shallower, less useful reviews. Every PR should have a descriptive title that summarizes the change, a thorough description that explains the reasoning behind it, and references to any relevant work items or tickets. For UI changes, screenshots or screen recordings should be included as standard practice.
Bitbucket's native integration with Jira makes providing context effortless. When a Jira work item key is included in a branch name, commit message, or PR title, Bitbucket automatically surfaces the work item details directly within the PR view. Reviewers can see exactly what was being built or fixed without leaving the pull request. Better still, the integration can automatically transition the work item status in Jira, moving it from "In Progress" to "In Review" the moment a PR is opened, keeping project boards accurate without any manual effort.
Reviewers should be focused on logic, architecture, and code quality, not on catching formatting errors or failed tests. Before a pull request reaches a human reviewer, it should already have passed automated checks. This means all unit and integration tests should pass, code should comply with the team's linting and style rules, and any security or coverage requirements should be met. Automating this gate ensures that by the time a reviewer opens the PR, the basics are already taken care of.
Bitbucket Pipelines runs your CI/CD pipeline automatically the moment a pull request is created or updated. Tests are executed, linting is checked, and builds are triggered without any manual intervention. The results are then surfaced directly inside the PR through Code Insights, giving both the author and reviewers an immediate, clear view of whether the code is in a healthy state. Failed builds or policy violations are flagged before a reviewer even opens the diff, keeping the review process focused and efficient.
A pull request that sits without reviewers, or gets reviewed by the wrong people, is a bottleneck waiting to happen. Every PR should be reviewed by at least one other developer, and for changes to critical parts of the codebase, the right domain experts or code owners should always be involved. Leaving reviewer assignment to chance or memory introduces inconsistency and risk.
Bitbucket's Default Reviewers feature eliminates the guesswork by automatically adding the appropriate team members as reviewers based on the repository or the files being changed. No one gets missed and no PR slips through without the right eyes on it. Merge Checks take this a step further by enforcing conditions that must be met before a PR can be merged, such as a minimum number of approvals, no unresolved tasks, or a passing build. These guardrails ensure that team standards are upheld consistently, regardless of who is submitting or reviewing the code.
Code review comments that are vague, buried in a thread, or easy to overlook do not improve code quality. They create confusion. Feedback should be specific, tied directly to the relevant lines of code, and tracked in a way that ensures nothing gets lost or forgotten before the PR is merged. Both authors and reviewers share the responsibility of keeping the feedback loop clear and productive.
Bitbucket's in-context commenting allows reviewers to leave feedback directly on specific lines or blocks of code, making it immediately clear what each comment is referring to. Any comment can then be converted into a Task, a trackable action item that must be explicitly checked off before the PR can be merged. This turns review feedback into a structured checklist rather than a loose thread of conversation, ensuring that every piece of feedback is addressed and nothing is accidentally overlooked on the way to merge.
A messy commit history full of entries like "fix typo," "oops," or "WIP" makes it difficult to understand how a change evolved and why certain decisions were made. Over time, a cluttered history makes debugging harder and reduces the value of tools like git log and git blame. Clean, meaningful commit messages and a logical commit structure are signs of a well-crafted pull request.
Bitbucket offers multiple merge strategies, giving teams the flexibility to choose the right approach for their workflow. The Squash merge option is particularly useful for keeping the main branch history clean. Rather than carrying over every individual commit from a feature branch, a squash merge combines all of them into a single, descriptive commit on the destination branch. The result is a main branch history that is readable, meaningful, and easy to navigate, where every entry represents a complete, logical unit of work rather than a trail of incremental saves.
Most developers think of a pull request as a formality, a step between writing code and merging it. But a well-written pull request is far more than a procedural checkbox. It is one of the highest-leverage habits an engineering team can build, and the benefits compound over time.
1. Faster Code Reviews: A clear, focused, and well-documented PR removes the guesswork for reviewers. When the context is obvious and the change is contained, reviews happen faster, feedback is more precise, and the back-and-forth cycles that slow teams down are significantly reduced.
2. Higher Code Quality: Well-structured PRs force developers to think critically about their changes before submitting them. The act of writing a clear description, breaking work into logical commits, and anticipating reviewer questions naturally leads to cleaner, more thoughtful code.
3. Fewer Bugs Reaching Production: When PRs are small and focused, reviewers can give them genuine attention. Bugs, edge cases, and logical errors are far easier to spot in a 150-line PR than in one that touches 800 lines across multiple files. Better reviews mean fewer issues slipping through.
4. A Valuable Historical Record: Every well-written PR becomes a permanent, searchable record of why a change was made. Months or years later, when a teammate is trying to understand a decision, a good PR tells the whole story without needing to track down the original author.
5. Stronger Team Collaboration: Good PRs create a culture of transparency and shared ownership. When developers write with their reviewers in mind, communication improves, knowledge spreads across the team, and no single person becomes the sole owner of any part of the codebase.
6. Smoother Onboarding for New Developers: A codebase with a history of well-written PRs is significantly easier for new team members to navigate. They can trace the evolution of the code, understand past decisions, and get up to speed faster without relying entirely on tribal knowledge.
Bitbucket Cloud is built with developers at the center, designed not just as a place to store code but as a collaborative workspace where the entire development lifecycle, from first commit to final deployment, happens in one connected environment.
Unlike generic version control platforms, Bitbucket Cloud is deeply integrated with the broader Atlassian ecosystem, meaning the tools developers use to write code, track work, and ship software all speak the same language. Jira work items surface inside pull requests. Pipelines run automatically on every push. Reviewers are assigned intelligently. Feedback is tracked and actionable. The result is a development experience where best practices are not just encouraged but built into the workflow itself.
For teams that care about code quality, Bitbucket Cloud removes the friction that typically stands between good intentions and consistent execution. Draft pull requests keep work-in-progress visible without creating premature review pressure. Code Insights bring automated test results and linting reports directly into the PR view. Merge checks ensure that no code reaches the main branch before it meets the team's standards.
Teams that adopt Bitbucket Cloud fully don't just store their code better. They build better software, together.
As an Atlassian Platinum Solution Partner, Atlas Bench helps organizations get started with Atlassian Cloud the right way. This includes configuring and connecting products like Bitbucket and Jira, migrating existing tools, and enabling development teams to hit the ground running. We bring the hands-on expertise to ensure your Atlassian environment is set up for long-term success.