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://t.co/8my21BqF5X

Chat with Paper: https://t.co/gxv6LWAvug