# Rada

- **Event:** [The Harness Engineering & Model Wrangling #SFTechWeek Hackathon](https://cerebralvalley.ai/e/mongodb-sftw-hackathon)
- **When:** Sun, Oct 11 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Allen ZHAO](https://cerebralvalley.ai/u/KingEm), [Day Nguyen](https://cerebralvalley.ai/u/dayn), [venkateshbabu sekar](https://cerebralvalley.ai/u/vesekar), [Paras Jain](https://cerebralvalley.ai/u/JainyAI)
- **GitHub:** https://github.com/Jainparas99/RADA
- **Demo video:** https://youtu.be/2u26UuRqTqM
- **Gallery:** https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/50

Rachet: a self-improving harness for MongoDB query tuning.

Slow queries cost money and frustrate users, and fixing them takes expert time: reading explain plans, choosing indexes, and rewriting pipelines. AI agents can help, but they often overfit to the workload in front of them, or “win” by quietly changing what a query returns.
RADA solves both problems. A tuning agent fixes slow MongoDB workloads, and the harness that steers it (its rules, context policy, guardrails, and tool access) improves itself from every workload it tunes. A proposer model studies past runs and suggests a new harness version. A strict gate then promotes that version only if it scores better on held-out workloads it has never seen, with every query result unchanged. If either check fails, the candidate is rejected with a reason code, and known cheats are tested and blocked.
Every harness version, trace, and lesson is stored in MongoDB Atlas, so each improvement is measurable, auditable, and reversible.

## More from The Harness Engineering & Model Wrangling #SFTechWeek Hackathon

- [NavEvolve](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/47)
- [Flex](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/48)
- [Aneeq Ur Rehman](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/49)
- [Morph](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/51)
- [Vivy](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/52)
- [SREvolve](https://cerebralvalley.ai/e/mongodb-sftw-hackathon/hackathon/gallery/53)

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