Pull Sense
AI-powered PR reviews to speed up GitHub workflows
114 followers
AI-powered PR reviews to speed up GitHub workflows
114 followers
Automate pull request reviews with AI-generated feedback. Catch potential bugs, security issues, and code improvements. Pull Sense supports Bring Your Own Key (BYOK). It enhances, not replaces, human reviews. Try it free! → PullSense.com
Free
Launch Team / Built With
ClarifyThe Full-Stack AI CRM that replaces 5 tools
Promoted
@aswin_vb very cool! at reviewing time, is the AI aware of the full repository or just the files related to the PR? wondering if it will be able to catch errors that only become obvious considering files that are not part of the PR
@manuhortet Actually as of now It just has the context of the files changed, We are not storing any code of the user on our end and that is something I had made sure while developing the product that no code of the user will be stored at our end.
Over the years dev ops and managing git has become its own beast. This looks like a good tool to help tame that beast. Nice work by the team and congratulations on the launch!
@shant_hambarsoumian Thanks for the feedback!
Quite impressed by how PullSense seamlessly adds AI-powered suggestions right within PRs! The BYOK feature also stands out, great way to keep things flexible.
@gemanor Thank you
Aswin - great first launch! The BYOK (Bring Your Own Key) approach shows real understanding of enterprise security needs, and the emphasis on enhancing rather than replacing human reviews is spot-on.
Love how you're focusing on three critical aspects of code review:
Bug detection
Security analysis
Code improvement suggestions
The positioning as an enhancement to human reviews rather than a replacement is particularly thoughtful. Really curious about:
What patterns has the AI discovered that humans might miss?
How do teams integrate this into existing review workflows?
Any surprising insights from early usage data?
Quick questions:
How do you handle different programming languages and paradigms?
What's your approach to false positive reduction?
Any plans for integration with other Git platforms beyond GitHub?
The launch engagement suggests teams are hungry for smarter code review tools. You're essentially creating a pre-review layer that makes human reviews more focused and effective!
Keep refining the AI review process - you're making code reviews more efficient while keeping humans in the loop! 🤖👥
Looking forward to seeing how Pull Sense evolves. This feels like an important step in modernizing the PR review process! 🚀
P.S. The free tier is a great way for teams to experience how AI can complement their existing review processes.
@xi_z Thanks so much for the thoughtful feedback! 🚀 Really glad you see the value in BYOK and the focus on enhancing rather than replacing human reviews. That balance is something we care deeply about!
To your questions:
🔹 Multi-Language Support – Right now, we handle major languages (JS, Python, Go, etc.), but we’re constantly expanding based on user needs.
🔹 Reducing False Positives – We are planning to use a feedback loop where users can dismiss suggestions, helping refine the AI’s accuracy over time. We also plan to let teams customize rules to better fit their coding style.
🔹 Other Git Platforms? – GitHub is the starting point, but GitLab and Bitbucket support are definitely on our radar!
Appreciate the kind words and enthusiasm! We’re just getting started and would love to hear more from teams using PullSense in real workflows.
PullSense looks like a game-changer for PR reviews! Catching issues early and reducing back-and-forth sounds like a huge time-saver. How well does it handle complex codebases with unique coding styles?