One request. Multiple AI agents. One coordinated outcome.
Hive Teams coordinates agents across engineering roles. A lead agent breaks the work down, role agents pick up items under WIP limits, parallel work stays in sync and every session is visible on the board.
AI becomes more powerful when it works together
Enterprise software rarely rests on one task or one expert. Agents are coordinated across planning, architecture, implementation, testing and review, each on the work it fits, all on the same understanding of the project.
The right agent. The right task. The right time.
A feature moves from planning to architecture, implementation, testing and review. A lead agent breaks the work down, role agents pick it up under WIP limits, and context carries between every step.
Parallel execution without losing context
Backend, frontend, docs and test prep don't wait on each other. Agents run in parallel on the same context and standards.
Orchestrating the entire SDLC
Orchestration isn't limited to coding — it covers requirements through deployment. Every stage builds on the last, every decision stays connected.
Why agent orchestration matters
Coordination across roles
A lead agent breaks work down and role agents pick it up under WIP limits — visible on the board, not hidden in a router.
Coordinated workflows
Keep planning, development, testing and review connected.
Parallel collaboration
Enable multiple AI agents to contribute simultaneously.
Shared context
Every AI agent works with the same engineering knowledge and project history.
Scalable engineering
Support larger teams, more complex projects and enterprise Software Development Lifecycles with consistent AI coordination.
Coordinate your Software Development Lifecycle with intelligent AI orchestration.
Turn isolated AI sessions into one coordinated engineering workflow.