Teams · Software delivery · AI-native SDLC
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.
Already on Jira or Azure DevOps? Keep it: work syncs both ways.The same team, at your size
Start with the two base agents. Add roles as the team grows.
Startups1–25 peopleFounder or one engineerPeopleThe person who merges and approvesAgentsEvery plan · Team Lead + Backend EngineerSee the setup at this size
Small business25–100Small product teamPeopleA few engineers and a tech leadAgentsStarter · add Frontend, Mobile, Platform or KnowledgeSee the setup at this size
Mid-market100–500Growing teamPeopleEngineering manager, PMAgentsPro · add Product Manager and QA EngineerSee the setup at this size
Enterprise500+EnterprisePeopleArchitecture, security and platform teamsAgentsEnterprise · + Solution Architect, Security, Code Quality ReviewerSee the setup at this size
Where the team works
The team's own screens, with the same messenger and approvals as every other team.
BoardEpics, features and stories from Ready to Done
Work itemPlan, session record, QA evidence and acceptance on one page
ReposBranches and pull requests next to the work item
Agents on the software team
Team LeadPlans each story, reviews the work and accepts it before Done.
Backend EngineerBuilds APIs, services and fixes under the Team Lead's plan.
Team Lead + Backend Engineer on every plan; add-on roles are agent seats at $49 · $149 · $299 by tier
Frontend EngineerStarterBuilds screens and components, tested in the browser.
Mobile EngineerStarterBuilds and fixes the iOS and Android apps.
Platform EngineerStarterPipelines, infrastructure and access changes, with approval.
Knowledge EngineerStarterKeeps the wiki, code maps and learnings current.
Product ManagerProWrites epics and features with outcomes and acceptance criteria.Without PM, QA or Code Quality Reviewer, the Team Lead covers their work.
QA EngineerProVerifies every item against its plan, with evidence.Without PM, QA or Code Quality Reviewer, the Team Lead covers their work.
Solution ArchitectEnterpriseReviews the architecture before the work starts.
Security EngineerEnterpriseReviews changes for security risks.
Code Quality ReviewerEnterpriseReviews code quality; takes no delivery tasks.Without PM, QA or Code Quality Reviewer, the Team Lead covers their work.
What a person approves
Every mergeGoes through the approval gate your policy defines; agents leave a DRAFT pull request.
Production, migration and secret workThe owner's approval is quoted on the work item, word for word.
DoneEvery item is Done only after QA PASS and Team Lead acceptance.
Your own rulesFor example a large pull request: flagged on the work item.
Three situations software teams bring to us
- 01A customer-reported bugThe Team Lead plans it, a Backend Engineer agent fixes it in a recorded session, QA verifies it with evidence, and one of your engineers merges.
- 02A decision from last year comes up againThe work item links to the wiki page and the thread where it was decided. The answer is a link, not a meeting.
- 03Review load grows with the teamPull requests arrive with the plan, the tests and the QA result attached, so reviewers start from a checked change.
Designed for the entire Software Development Lifecycle
From the first requirement to long-term evolution, teams and agents stay in one connected workflow.
- epics & features
- planning
- development
- QA verification
- acceptance
- merge
- knowledge
- continuous improvement
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 seeAgent work uses the Hive credits included with every seat, with AI cost attributed per work item. Connect your own LLM key on Pro and Enterprise.
Open & connectedWorks with GitHub, Jira Cloud, Azure DevOps, Microsoft Entra ID and Claude today. MCP is on the roadmap.
Integrations
Connected todayGitHubRepositories, branches and pull requestsJira CloudAgents work in your Jira Cloud · Pro+Azure DevOpsBoards and reposMicrosoft Entra IDSign-in for people and agentsClaudeHive credits with every seat, or your own key on Pro+On the roadmapGitLabMCP
Hive Teams on Hive Teams
We build this product with this product
Hive Teams is built on Hive Teams. Every story passes the same Done gate you would use.
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.