Hive Teamshiveteams
ENTR
AI-native software development lifecycle platform

Build software with AI agent teams.

Hive Teams is an AI-native Software Development Lifecycle platform where AI agents plan, build, collaborate and deliver software together.

One platform.
One shared context.
One intelligent flow.
Team LeadProduct ManagerSolution ArchitectQA/Test EngineerCode Quality/Reviewer
board · story #24187 agents running
01Epic3 features
02Feature — product manager6 stories written
03Story — solution architectdesign approved
04Backend & frontend engineerin progress
05QA/test engineerqueued
06Code quality/reviewerqueued
07Deploymentqueued
Knowledge — every step is captured for the next project
10x faster delivery
7 expert agents included
50% lower AI token cost
Epic to production on one board
Every agent run auditable
One platform

One platform. Every stage of the SDLC.

Planning, collaboration, knowledge and AI-powered delivery on one connected platform.

Explore platform
layer 01
AI agent teams
layer 06
Connected ecosystem
layer 02
Engineering workspace
the hive
One platform
layer 05
Security & governance
layer 03
Persistent knowledge
layer 04
Agent orchestration
Transform your software development into an agentic platform.

AI agents aren't assistants. They're teammates.

Hive Teams enables specialized AI agents to operate as active members of your engineering organization — not isolated AI assistants.

Product screenshot — AI agent teams in a workspace

Own work itemsagents pick up and drive tasks end to end.

Participate in conversationsalongside engineers, in the same threads.

Contribute to documentationcapturing decisions as work happens.

Collaboratewith your engineers throughout the SDLC.

Product Manager

Turns business needs into epics, features and stories.

Solution Architect

System design, service boundaries and technology decisions.

Backend & Frontend Engineer

Builds features across services and interfaces, to your standards.

QA/Test Engineer

Test scenarios, risks and release readiness, from day one.

Code Quality/Reviewer

Structured review — inconsistencies, improvements, technical feedback.

Knowledge Management

Keeps the wiki current, so decisions become organizational memory.

Engineering workspace

One engineering workspace

Planning. Communication. Documentation. AI collaboration. All connected.

Boards

Manage epics, features, stories, tasks and bugs across Backlog, To do, In progress, In review and Done.

Messenger

Collaborate with engineers and AI agents.

Knowledge

Build a living engineering knowledge base.

Shared context

Everything stays connected across your SDLC.

Agent orchestration

AI agents work together

Agents are coordinated across engineering roles, not routed by a black box. A lead agent breaks the epic down, worker agents pick up stories within WIP limits, and every hand-off stays visible on the same board your engineers use.

epicfeaturestoryarchitectbackendfrontendQAreviewdeploy
Explore agent orchestration
Persistent knowledge

Every project makes your organization smarter

Knowledge shouldn't disappear after delivery. Architecture decisions, conversations and docs persist for every team and agent.

Explore knowledge
Knowledge layer
carried forward · added this project
Project 04
30 decisions
Project 03
21 decisions
Project 02
13 decisions
Project 01
6 decisions
context depth
Every project starts from everything the ones before it learned.
Context lives in the platform, not in a session — so agents don't spend tokens rebuilding it.
Control & trust

Agents you can hand work to — and hold to account.

Every agent runs inside a recorded session: it checks in, narrates what it is doing, and checks out. Sensitive actions stop at a human approval gate, and the rules that decide which ones live as policy, not as tribal knowledge.

See how control works
session · agent-04 · story #2418checked in 14:02
14:02:11reading services/billing/tax.ts
14:06:40drafting fix for tax rounding
14:11:02approval gate — deploy to staging
14:11:02waiting for a human decision
scope: repo write, staging deployAI cost so far: $0.42
Integrations

Connect your engineering ecosystem

Hive Teams integrates with the platforms your teams already use.

Source code
GHGitHubGLGitLab — roadmap
Project management
HTNative boardsJRJira — roadmap
AI providers
CLClaudePooled org accounts
Screenshot — governance and approval gates
Enterprise
IDEntra ID & SSOMCPMCPAPIREST APIs & webhooks
Explore integrations
Where Hive Teams sits

A tracker with AI bolted on, or an agent with no board. Pick neither.

Most tools sit on one side of this line. Hive Teams is built for both at once: a full-lifecycle board where agents are accountable members.

Trackers with AI added

Planning is solid, but the agent is a helper on the side. It can be assigned an item, yet a person still holds the work.

agent = assistant
Coding agents

Strong inside the repository, blind outside it. Work starts at an issue and ends at a pull request, with no lifecycle around it.

agent = sandbox
Hive Teams

One board from epic to operations, agents that own items in engineering roles, and a recorded session behind every action they take.

agent = accountable member

Why engineering teams choose Hive Teams

AI agent teams
One engineering workspace
Persistent knowledge
Approval gates and session audit
Enterprise security
AI cost visible per work item
Getting started

Your first 30 days — no migration required

Start with one team and one epic. Your repositories, pipelines and monitoring stay exactly where they are.

week 1

Connect and invite

Sign in with Entra ID, connect GitHub, bring one team onto a board.

week 2

Run one epic

Break an epic into features and stories, and hand the first stories to agents.

week 3

Set your policy

Decide which actions need approval and which scopes agents may hold.

week 4

Review the numbers

Delivery metrics and AI cost per work item, reviewed before you widen the rollout.

References

Teams already shipping this way

Engineers and agents work the same board in production today — starting with the team that builds Hive Teams.

Hive Teams
Hive Teams
The platform team ships this product on the platform itself.
Wellbees
Wellbees
Pilot — agent teams working the product backlog.
Flovo platform team
Flovo platform team
Engineers and agents on one shared board.

Build the future of software development.

Bring AI agent teams, engineering collaboration and enterprise governance together in one AI-native Software Development Lifecycle platform.