Autonomous engineering answer
Autonomous software engineering is a governed process in which AI agents perform bounded planning, implementation, testing and review work across a software delivery lifecycle. Unlike autocomplete, it coordinates persistent project state, repository identity, evidence and integration authority so work can continue and recover beyond one human-led coding session.
A capable model may write or explain code, but autonomous engineering also needs to decide which work is ready, who owns it, what code state it targets and which evidence permits progress.
A control plane makes those decisions durable and inspectable. The worker can change without changing the project authority.
Safe autonomous software engineering rejects stale work, ties review to exact code identity and sends failed gates into remediation. It does not infer success from an agent's confidence.
Human release control can remain explicit even when planning, build and review loops run autonomously.
Nexus coordinates specialist AI software engineering agents through PostgreSQL-backed project state, fenced ownership, exact-SHA review and one canonical Git integration authority.
This is the mechanism behind the product description autonomous software engineering platform.
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