Orchestrator is a multi-agent coding platform for production software engineering. It coordinates specialized agents that plan, implement, audit, test, and review complex engineering work against a real codebase.

Agentic coding is software development where AI agents plan, write, test, and review code with limited human prompting, rather than autocompleting a line at a time. Orchestrator runs many specialized agents together under governance and review, which is what makes agentic coding reliable enough for production.

Agent orchestration is coordinating multiple AI agents so they work together on one goal, instead of leaning on a single agent. For software, that means planning, coding, auditing, and review can run in parallel and check each other. Orchestrator is a multi-agent coding platform built on this approach, with governance, shared memory, and review gates that bring the output to production quality.

Most AI coding assistants are a single agent that generates code and hands it back. Orchestrator is a coordination and verification layer: specialized agents with role-scoped permissions do the work, while adversarial reviewers challenge it before it's accepted. It stays coherent across multi-hour tasks, remembers lessons from past runs, and runs work through structured, machine-validated flows (spec-to-code, refactor, test), all fully auditable. The difference isn't more agents; it's the governance, memory, and verification built around them.