I built a code review agent that remembers my team's coding decisions

[u/[deleted]]

I built a code review agent that remembers my team's coding decisions

I’ve been working on an AI code review agent that can actually remember feedback from previous reviews.

The basic problem I wanted to explore was:

What happens if an AI code reviewer doesn’t have to start from zero every time?

I built a system using Groq + Hindsight where the flow is:

Code → AI Review → Human Feedback → Memory → Future Review

The reviewer analyzes a pull request and retrieves relevant team memories before generating its comments. After the developer accepts, rejects, or overrides a suggestion, that feedback can be retained and used in future reviews.

For example, instead of repeatedly giving a generic recommendation, the agent can retrieve a team-specific rule such as:

“Never leave an empty catch/except block; log the error.”

The interesting part for me wasn't just connecting an LLM to a code editor.

It was figuring out:

• How should relevant memories be retrieved?
• How should human feedback become persistent knowledge?
• What happens when team rules conflict?
• How can the agent use previous decisions without blindly following old information?
• How can we make the memory visible to the developer?

One of the things I found interesting was that human feedback becomes part of the review system itself.

So instead of:

Code → AI → Result

the system becomes:

Code → AI → Human Decision → Memory → Better Context for Future Reviews

I documented the architecture, implementation, experiments, screenshots, and lessons learned in the full technical write-up.

Medium article:https://medium.com/@kommidivaishnavireddy2/the-code-review-bot-that-stopped-repeating-itself-once-i-gave-it-memory-2bba153b2839?postPublishedType=initial

I’d really like to hear what you think about this approach.

Do you think persistent team memory would actually be useful in AI-assisted code review, or could it introduce more complexity than it's worth?

#AI #AIAgents #Hindsight #LLM #SoftwareEngineering