Hive: AI-Native Workflow Orchestration for Software Development.
Compose long-running SDLC workflows using AI agents, triggers, approvals, integrations, and verification checkpoints — designed for teams that ship continuously.
Live visualizer
A real workflow, running in front of you.
Watch Hive carry a Jira ticket through technical planning, implementation, verification, human-approved merge, and release — pausing on real-world events and resuming when they fire.
Simulated visualization. Every step maps to a real, composable Hive capability.
Workflow library
Eight workflows your team can compose today.
Every workflow is built from reusable SDLC capabilities, wired to your existing event sources, and gated by the human approvals your org already trusts.
How Hive works
Trigger. Compose. Execute. Continue.
Trigger
An event starts the workflow — a Jira ticket created, a PR merged, a CI build passing, a Slack command, an API spec change, or a security finding.
Compose
Hive chains together SDLC automation capabilities — drawn from a library of 139 reusable, composable building blocks.
Execute + Verify
AI agents perform work behind verification checkpoints — tests, policy checks, evaluators, and human approvals — before progressing the workflow.
Continue on events
Workflows pause and resume on real-world events — PRs merging, CI passing, approvals completing, deployments finishing. Built for long-running work.
Integrations
Built to support the stack you already run.
Hive plugs into the tools your engineers, platform teams, and security teams already operate.
Positioning
Hive is not another AI coding assistant.
It is the orchestration layer for autonomous software development operations — designed to run long after a coding session ends.
Private preview
See Hive at the Momentum AI booth.
We're previewing Hive with a small group of design partners. Request access — or book a 1:1 walkthrough with our team at the conference.