JIT-Agent boosts performance via Just-in-Time Harness generation
青稞AI · wechat · 2026-08-28
National University of Singapore launched JIT-Agent-27B, introducing the concept of "Harness Intelligence." The model trains on the Agent runtime layer, enabling it to generate task-specific Harnesses on the fly (an executable protocol comprising Memory, Planning, Action, and Capability modules) and learn to repair failed structures. Experiments show that JIT-generated Harnesses significantly improve base model performance on various Agent Benchmarks, outperforming fixed scaffolds like ReAct in multiple tasks while reducing API costs. This research expands the model's role from an action generator to a runtime system constructor (Model-as-a-Harness).
Related event: JIT-Agent Synthesizes Adaptive Agent Harnesses on Demand(3 posts)→
More from coding & agent
- Dev pushes back on "AI coding means insecure apps": humans always shipped bugs — dreamwieber · 2026-10-15
- Eight non-negotiable principles for building AI that actually learns from experience — tokenbender · 2026-10-15
- Animated teardown of XBOW's Chrome full-chain exploit that won Google's first $250K VRP bounty — moyix · 2026-10-15
- pstack's durable core: 10-20 line skills that distill agent best practices into principles — HankYeomans · 2026-10-15
- 'Children of Elon' forum lets AI agents post and teach each other while humans watch — AiJohnAllen · 2026-10-15
- VoidZero open-sources Void: SDK, CLI and platform to deploy Vite apps on Cloudflare — cnakazawa · 2026-10-15