microsoft/Build26-BRK231-deploy-observe-learn-reinforcement-learning-for-production-agents
Sample code for improving multi-tool AI agents using SFT distillation and reinforcement fine-tuning — Qwen3-32B RFT achieving 86.9% quality on a retail customer service agent. From Microsoft Build 2026.
12
Stars
21
Forks
35.3
Radar Score
Rising
Momentum
Scoring Breakdown
Impact10.9
Velocity49.3
Health54.8
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Steady growth — consistently collecting stars and contributors.
AI Agents · coding agentTop 71% globally
Popular Alternatives & Competitors
Top projects in the same category (AI Agents) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
35.3
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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