![]() Problems can easily get hidden between the diffs, and reviewers often make assumptions instead of testing to avoid feeling overwhelmed. When code isn’t reviewed thoroughly, it’s easy for bugs to slip through since reviewers often don’t have the time to give each PR the attention they deserve. ![]() According to Graphite’s data, only 24% of massive 1000+ line PRs receive any review comments. These back-and-forth review cycles on large PRs slow down team velocity, and aren’t necessarily thorough. Developers can easily waste days revising the code after initial feedback, and reviewers need to then rescan all the code, spot changes, and approve or reject every revision. When PRs have thousands of lines changed, properly reviewing them becomes incredibly difficult. To put this in perspective, where giant 500+ line PRs take around 9 days to get merged on average, tiny PRs under 100 lines can make it from creation to landing within hours. The average PR on GitHub has 900+ lines of code changes.įor speed and quality, PRs should be maintained under 200 lines-with 50 lines being ideal. The single most important bottleneck is PR size - large PRs can make code reviews frustrating and ineffective. Here at Graphite, we analyzed data from thousands of repositories to understand how common pull request (PR) workflows on GitHub lead to blocked developers, slow reviews, and reduced code quality. ![]() Why your GitHub pull request workflow is slow Whether you're new to stacking or looking to optimize an existing process, this workflow can streamline collaboration, accelerate review cycles, and promote coding best practices on your team. In this guide, we'll explore how the stacking workflow can help you overcome these challenges and ship better code faster. Any meaningful engineering task can easily result in large, tangled pull requests that become bottlenecks in the development process. However, between the pressure to deliver features quickly and the complexity of modern applications, putting this into practice takes a lot of work. As developers, we strive to write clean, modular code that's easy to maintain.
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