Product Features
Ship multi-file features end to end, with planners, coders, and reviewers working in parallel.
Use Cases
Built for real world engineering tasks
Multi-agent runs that plan, code, audit, and review in parallel.
Current AI tooling can't handle complex production-bound work.
The complex engineering work other AI tools stall on: multi file feature builds, legacy rewrites, API integrations, data migrations, and spec driven development.
Legacy Modernization
Rewrite aging systems incrementally, with tests generated from existing behavior.
API Integrations
Wire services together with typed clients and coverage for pagination, retries, and auth.
Major Codebase refactors
Rip out brittle modules incrementally, with call sites traced and tests generated first.
Data Migration / ETL
Migrate schemas and pipelines with row counts and type coercions verified.
Complex Spec driven development
Break long specs into parallel work, reconciled through review.
FAQ
Yes. Orchestrator can support incremental legacy rewrites by tracing existing behavior, generating tests, and coordinating implementation and review across multiple parts of a codebase.
Yes. Orchestrator is positioned for major codebase refactors where brittle modules need to be replaced incrementally, call sites need to be traced, and tests should be generated before changes land.
Yes. Orchestrator can break long specs into parallel workstreams and reconcile the output through agent review, making it useful for complex spec-driven development.
Yes. Orchestrator generates typed clients with coverage for pagination, retries, and auth, verified through tests before the integration is accepted.
Yes. Orchestrator migrates schemas and pipelines with row counts and type coercions verified against the source.