Self-improving agents isn’t a single algorithm – it’s a systems engineering problem involving: – eval data curation + maintenance – experiment design to battle overfitting – an update algorithm – human review during the process & especially before prod we share practical learnings + a local research scaffold to autonomously hill-climb harness centered around evals our goal is to give everyone the tooling and infra to measure and iteratively their improve agents. Evals are training data for agents which fuels this loop let's build the future of well-designed, self-improving systems 🚀 Viv (@Vtrivedy10) x.com/i/article/204172946391… — https://nitter.net/Vtrivedy10/status/2041927488918413589#m

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