Microsoft just released Agent Lightning v1.0. Here’s why it matters for platform engineers.
The New Stack 1 month ago 26
Microsoft released Agent Lightning v1.0 to align training with the production “harness” so the harness owns context and the agent–environment loop while the trainer optimizes model calls across a service boundary. On GitHub commit Aug 16, using it with Qwen3.5-9B on 6K “modest compute” training examples improved OpenAI SWE-bench Verified from 41.8% to 56.4% (an absolute +14.6 points). Platform teams can avoid re-implementing sensitive RL loop components like retokenization and advantage calculation by using the provided end-to-end data pipeline and reproducible scripts, reducing train–serve mismatch but requiring harness versioning and infrastructure capability.