1) As a reviewer, I didn't always have the context of the code changes. Developers often didn't provide clear descriptions of their changes and their impact, leading to multiple clarification calls.

2) There was a lot of back-and-forth between the reviewer and developers for fixing best practices violations and edge cases. Security vulnerabilities in PRs were almost never checked.

So, PR reviews took a huge amount of time, and still, we saw bugs being pushed into production. This was due to a lack of thorough code checking on every PR, missing code antipatterns, security issues, logic errors, edge cases, documentation drift, and accidental mistakes.

Merging the PR without fixing issues leads to more bugs, wasted developer hours, slower development cycles, onboarding delays, and increased tech debt.

So, I left my job and built CodeAnt AI, which is a PR reviewer that reviews and auto-fixes issues, bugs, and security vulnerabilities without breaking code logic. We use AI and static analysis to achieve this. We have also built a Code Health dashboard, that enforces clean coding practices across repos and organizations.

Get started in 2 mins, with no payment or credit card

1) Go to https://github.com/marketplace/codeant-ai. 2) Add your repositories. 3) And the next PR that you will create will have description, line by line review, security scanning, and changelog etc.

I would love it if you could try it out and give me some feedback.