arXiv paper · source date 2026-05-22 · 0 comments ·
original1. Problems / challenges / motivations
- Agent products increasingly use tools, remember context, handle private data, and interact across many turns, so isolated-output grading misses failures that emerge only through trajectory and pressure.
- Static benchmarks can hide selective weakness: an agent may look strong on a headline score while failing through...
arXiv survey · source date 2026-05-18 · 0 comments ·
original1. Problems / challenges / motivations
- Modern LLM agents increasingly succeed or fail because of the runtime around the model: tools, code execution, memory, sandboxes, repositories, validators, permissions, traces, and feedback loops.
- Final task success is too flat for this world. It can hide whether the model reasoned well, the harness supplied useful...
OpenReview survey · source date 2026-05-14 · 0 comments ·
original1. Problems / challenges / motivations
- The paper argues that real-world LLM-agent reliability is often constrained less by the base model than by the execution harness around it: environment, tools, context, orchestration, observability, evaluation, and governance.
- Prompt engineering and context engineering are no longer enough for production agents....
arXiv paper · source date 2026-03-30 · 0 comments ·
original1. Problems / challenges / motivations
- Meta-Harness starts from a harness-engineering problem: the same frozen model can perform very differently depending on surrounding code for retrieval, memory, prompt construction, tool loops, and completion logic.
- Existing text optimizers often compress experience into scalar scores, short summaries, fixed...
engineering blog · source date 2026-03-24 · 0 comments ·
original1. Problems / challenges / motivations
- Long-running coding and frontend-generation agents degrade as context fills, coherence drops, and models develop “context anxiety.”
- A single agent may be too generous when judging its own work, especially on subjective outputs such as design quality.
- For long tasks, the surrounding harness can matter as much as...
engineering blog · source date 2026-01-27 · 0 comments ·
original1. Problems / challenges / motivations
- Vercel wanted coding agents to use version-matched Next.js 16 documentation, but optional knowledge packages only help if the agent actually invokes them.
- A support system can look good in theory while failing at the trigger layer: the agent may not know when to load a skill, may load it too late, or may be...