Openai

Design long-running agents by separating durable session history, evolving harness logic, and disposable execution environments.

Evaluate always-loaded tools, deferred discovery, and programmatic orchestration before expanding an agent tool catalog.

Measure coding-agent productivity using accepted work, review effort, and later rework instead of generated code or perceived speed.

Build model routing and fallback policies that preserve application contracts while measuring quality, latency, and total cost.