• multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
• benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.

Governance scaffolding for autonomous agents only helps when a model has spare capacity; on constrained models it does nothing, while a single 'verify your writes' instruction alone doubles task success.

• articleOne Gate Is Not Enough: Composing Stateful Pre-Action Controls for Agentic AIGaston Besanson
• articleEngineering Reliable Coding Agents: Evaluating and Operating the System Around the ModelStephanie Jarmak
• articleA Few Pages of Markdown: Committed AI Configuration and Lower Quality Cost after Coding-Agent AdoptionYegor Denisov-Blanch, Shyam Agarwal, Pavel Azaletskiy, Hao He, Rylan Schaeffer, Brando Miranda, Bogdan Vasilescu, Sanmi Koyejo

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