Evaluation

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.

Learn how plans, durable artifacts, and evaluator loops help coding agents complete long-running software tasks without losing direction.

Learn how to evaluate LLM applications effectively. Covers evaluation frameworks, metrics, test set creation, and continuous monitoring strategies.