Skip to content
#

braintrust

Here are 23 public repositories matching this topic...

Dual-modular platform combating SRE alert burnout and securing generative AI deployments using Spring Boot and FastAPI. Tracks on-call fairness via Gini coefficients and uses AST/CST analysis to detect fragile, low-quality, or overly AI-dependent code in CI/CD pipelines while introducing quantifiable engineering contribution metric

  • Updated Jul 30, 2026
  • Java

AI agent that turns regulated enterprise conversations into decision-ready briefs and audited actions. Permission-aware RAG with grounded citations, deterministic policy gates, HITL approval loop, and a 3-vertical eval scorecard.

  • Updated Jul 28, 2026
  • TypeScript

Darwin evolves the best whole agent for your task, its prompt, tools, code, and the model it runs on, generation over generation, inside sandboxes it can't escape and against a grader it can't game.

  • Updated Aug 7, 2026
  • Python
CacheCatch

CacheCatch audits AI agent context and shows what to move so repeated tokens hit cache instead of full-price input — it finds context waste, prompt cache misses, and hidden agent cost leaks; and give you actionable insights how to fix them.

  • Updated Aug 1, 2026
  • TypeScript

Improve this page

Add a description, image, and links to the braintrust topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the braintrust topic, visit your repo's landing page and select "manage topics."

Learn more