Harness engineering is a top skill right now This new Meta paper is a good production example. Auto-RecSys runs autonomous research on Meta'…

Harness engineering is a top skill right now This new Meta paper is a good production example. Auto-RecSys runs autonomous research on Meta's industry-scale recommendation models, where one training run can take days. It runs experiments in parallel across servers, keeps a shared memory so work survives failures and new sessions, and splits guidance into natural-language skill files for reasoning and deterministic scripts for anything operational. Two loops improve it over time. Model-specific playbooks record failed attempts and keep working pipelines. Experimental results feed the next round of ideas. As the playbook matured, major fixes per iteration fell from 4.0 to 1.3, and the failures fell into repeatable categories. Paper: https://arxiv.org/abs/2609.10922 Chat with Paper: https://academy.dair.ai/papers/auto-recsys-harnessing-autonomous-research-agents-for-industry-scale-recommender-2609.10922

Very interesting new paper from Microsoft and colleagues. (bookmark it) Skill libraries are used in every major harness on the assumption th…
If you build agent skills in production, check out this great paper from Alibaba. You can think of a production agent skill as a directory. …
Not all harnesses are created equal. And there is no one-size-fits-all. A good harness should solve your context engineering problems. Under…
// Model or Harness // Great paper if you are building with agents in production. (bookmark it) It organizes 41 agent failure modes by the i…
// Adapt the Interface, Not the Model // I am fascinated by the results across my cheap-model-plus-good-harness builds. This new paper also …

Source: DAIR.AI (X) | 2026-09-11

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