I'm looking to add automated code review to our CI/CD pipeline, but I'm facing some challenges. We primarily use GitHub Actions for our workflow, and I'm keen on keeping everything within that environment instead of introducing new tools. Currently, our setup includes basic checks like linting, unit tests, and a security scan using Snyk. While this has been effective for surface-level issues, it doesn't catch deeper logic or code quality problems. As a result, our senior developers are still doing manual reviews, which is very time-consuming. I've researched a few options, but many seem either too costly for their functionality or require extensive setup. We're in need of something that operates smoothly with minimal configuration. I would greatly appreciate insights on solutions that others have found effective in production! Extra points if it plays nicely with GitHub Actions without slowing down our already lengthy 8-minute build times.
4 Answers
We faced the same challenge about six months ago and integrated Polarity into our GitHub Actions workflow. It's been excellent for catching those logic and quality issues that linting overlooks, and it doesn't add much time to the builds. Setup was quick, maybe 15 minutes, and it simply runs as an additional check. It’s not flawless, but it’s a significant improvement and has helped reduce the review workload for our seniors. Just remember to adjust it to fit your codebase after the first week of usage!
What kind of logic issues are your seniors encountering that automated checks aren't catching? Are these mostly business logic problems or performance-related issues? I'm interested because I'm also trying to see if automated tools can really cover that ground, or if human reviews will always be necessary. Also, 8-minute builds are tough, but not the worst I've seen elsewhere!
Have you thought about optimizing your current checks before piling on more tools? Sometimes streamlining what you have can make a big difference.
You might want to check out Semgrep for logic and code quality checks, as well as CodeQL for deeper security assessments. Both tools integrate easily with GitHub Actions and shouldn't significantly affect your pipeline speed.
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