Give the AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → access to the context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → and tools needed to develop and verify the product end to end; remote execution alone does not provide that setup.
Use code-review fan-out to find candidate issues, then independent checks to reduce false positives before presenting findings to a human.
Treat agent harnessThe scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.Full definition → features as responses to current model limitations and reassess them when the model or task scope changes.
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
Why it matters
Reliable goal delegation needs an agent-accessible development environment, verification, and product feedback. The team also describes retiring harness features as model capabilities improve.
