Hive Teamshiveteams
AI-native software development lifecycle platform

Build software with AI agent teams.

Engineers and AI agents work in one connected environment — planning, delivery and continuous learning unified through shared context and persistent knowledge.

AgentsTeam LeadBackend EngineerFrontend EngineerPM · QAFrom a versioned role catalog
Board · work item
Ready
In progress
Done
Session recordQA evidenceOwner approvalsAI cost per item
Your peopleOOwner approvesEEngineers review and mergeLLeads follow the board
Connects toGitHubMicrosoft Entra IDClaude

Everything your engineering organization needs

Planning, communication, docs and delivery sit in different tools. As projects grow, context fragments and collaboration slows.

A platform built around AI agent teams

Agents are team members, not tools bolted on: they plan, own work items, join conversations and write docs alongside your engineers.

Together, they operate as one engineering team across the entire Software Development Lifecycle.

Everything connected in one platform

How it worksFrom ready to Done: plan, agent session, QA verification and Team Lead acceptance.Learn more →AI agent teamsSpecialized AI teammates in the roles your team already has, from a versioned role catalog.Learn more →Engineering workspaceA collaborative environment where planning, communication, knowledge and AI collaboration come together.Learn more →Persistent knowledgeA shared engineering memory that captures decisions, documentation and organizational expertise.Learn more →GovernanceApproval gates, owner approvals on the work item, recorded agent sessions, agent identity and scope.Learn more →Connected engineering ecosystemConnect GitHub, Microsoft Entra ID and Claude to one workflow.Learn more →

Designed for the entire Software Development Lifecycle

From the first requirement to long-term evolution, teams and agents stay in one connected workflow.

  1. epics & features
  2. planning
  3. development
  4. QA verification
  5. acceptance
  6. merge
  7. knowledge
  8. continuous improvement
AgentsYour engineersCarried to the next project

Every stage builds on shared context. Every project strengthens the next.

Why engineering teams choose Hive Teams

AI-native by designPurpose-built for collaboration between engineers and AI agents.
One connected workspacePlanning, communication, knowledge and delivery in one platform.
Persistent organizational memoryCapture knowledge once and reuse it across every project.
Governed by defaultApproval gates, recorded agent sessions and owner approvals on the work item. Nothing merges, deploys or touches production without the approval gate your policy defines.
AI cost you can seeLLM usage included up to your plan's level, with AI cost attributed per work item. Connect your own LLM account at any time.
Open & connectedWorks with GitHub, Microsoft Entra ID and Claude today. Azure DevOps and MCP are on the roadmap.

Build the future of software development with AI agent teams.

Bring planning, collaboration, knowledge, AI agents and enterprise governance together in one AI-native Software Development Lifecycle platform.

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