[Discussion] AI-Assisted PR Reviews in OpenMRS

I’ve been working on ‘ThinkReview’, an open-source browser extension that adds AI code review directly inside pull/merge request pages and I created a specific Review agent for OPENMRS

It currently supports GitHub, GitLab, Bitbucket, and Azure DevOps, with zero setup on Github , Gitlab and Azure DevOps cloud. It also supports local AI reviews through Ollama, which could be useful for privacy-conscious healthcare projects or contributors working with sensitive implementation code.

For OpenMRS, I think this could be useful in a few ways:

  1. Helping new contributors get faster feedback on PRs before maintainers spend time reviewing.

  2. Flagging common issues around security, maintainability, tests, and code quality.

  3. Potentially creating OpenMRS-specific review agents , for example I created here specialised openMRS security scout and feeded ‘OpenMRS Security 101: Policies & Vulnerability Management’ as a reference

Here I opened an OpenMRS PR and ThinkReview has already reviewed the PR with our created security scout in addition to the standard code review and code suggestions

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I’d be curious whether the community would find this useful as part of the hackathon, either as a tool for contributors or as a base for experimenting with OpenMRS-specific AI review rules.

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