AINewsnow

On‑the‑fly harnesses boost LLM agents

This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.

Custom harness generation at inference time can lift LLM‑agent success rates by as much as twenty percentage points without touching the underlying model. JIT‑Agent shows that this leap comes from a trainable meta‑model that spits out task‑specific wrappers on the fly, turning a manual engineering…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-09-02 05:00 · DEV Community — Machine Learning
    On‑the‑fly harnesses boost LLM agents

More stories

  1. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  2. Meta Launches Muse Mac App With File, Messages, and Calendar Access — Unite.AI
  3. M2 Mac ultra128gb Qwen flash next — r/LocalLLM
  4. Qwen3.8-Flash-Next-Heretic2-IQ4XS on Halogen Flash Server vs llama-server on Strix Halo: 2.3-7.7x prefill speedup with half the VRAM (+ vision works on BYO GGUF) — r/LocalLLM
  5. A New AI Model Has Emerged — OPTES AI. — r/GeminiAI
  6. Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides — r/LocalLLM
  7. Meta’s Muse TV ad is the latest sign that AI agents are going mainstream — Business Insider AI
  8. Meta's Muse Is Better at Surveilling Than Helping Me — Wired AI

Get the daily brief of stories like this at 6:30 every morning →