gpt-engineer

Own a software-engineering outcome end to end with a strictly model-routed agent fleet: research the real codebase, turn findings into implementation waves, edit safely, test and inspect the result, and persist through bounded gap-closing cycles until the authorized goal is complete. Use when the user asks for a GPT engineer, autonomous engineer, complete feature or repository build, broad remediation, research plus implementation, multi-agent coding, explicit subagents, different models, or a durable /goal-style engineering run. Default to exact GPT-5.6 Sol, Terra, and Luna routes; preflight routing and never silently use an inherited, generic, older, Spark, or Claude child.

Version

1.10.1

License

MIT