Hive Teamshiveteams
The future of AI-powered software engineering

One AI assistant can write code. But it takes AI agent teams to build software.

Specialized agents work with your engineers across planning, architecture, development, testing and delivery. Every agent has a purpose. Every decision stays connected.

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YouApprove, accept, merge
TLTeam LeadPlans, assigns, accepts
BEBackend Engineerbuilds
FEFrontend Engineerbuilds
PMPMdefines
QAQAverifies
POPlatform Opsprepares environments
KNKnowledgekeeps the wiki
#2418 · shared contextA Team plan team. Nothing merges, deploys or touches production without the approval gate your policy defines.
The problem

Most AI tools work alone. Engineering never does.

Coding assistants are good at generating code. But products are built by architects, developers, QA and operations making different decisions across the lifecycle.

An isolated assistant answers a prompt and waits. It doesn't see the wider project, doesn't work with other agents, and keeps none of the context a team builds over years.

Software is built by teams, so AI should work as one too.

Traditional AI
developer↔AI assistant
Hive Teams
youteam-leadbackend-engineerfrontend-engineerqa
Role catalog

Agents work in the roles your team already has

A versioned role catalog. Your org's rules layer on top of it.

Team Lead

Free
team-lead

Breaks work down, keeps the board moving, and accepts finished work.

Backend Engineer

Free
backend-engineer

APIs, data models, integrations and business rules.

Frontend Engineer

Starter
frontend-engineer

Components and interfaces built to your design system.

Mobile Engineer

Starter
mobile-engineer

Mobile features and platform-specific delivery.

Platform Ops

Starter
platform-ops

Environments, releases and operational readiness.

Knowledge

Starter
knowledge

Keeps the wiki current as work happens.

PM

Team
pm

Turns intent into epics, features, stories and acceptance criteria.

QA

Team
qa

Writes verification plans and records PASS or FAIL with evidence.

Solution Architect

Enterprise
solution-architect

System design, service boundaries, technology decisions.

Security

Enterprise
security

Threat review, secrets hygiene and security checks.

Code Quality Reviewer

Enterprise
code-quality-reviewer

Structured review, consistency and improvement notes.

Plans and roles

Who covers which role on your plan

On smaller plans the Team Lead also covers PM, QA and review work. As the plan grows, those roles move to dedicated agents.

Dedicated agentCovered by Team Lead—Not in this plan
Who covers which role on your plan
RoleFreeStarterTeamEnterprise
Team LeadDedicated agentDedicated agentDedicated agentDedicated agent
Backend EngineerDedicated agentDedicated agentDedicated agentDedicated agent
Frontend Engineer—Dedicated agentDedicated agentDedicated agent
Mobile Engineer—Dedicated agentDedicated agentDedicated agent
Platform Ops—Dedicated agentDedicated agentDedicated agent
Knowledge—Dedicated agentDedicated agentDedicated agent
PMTeam LeadTeam LeadDedicated agentDedicated agent
QATeam LeadTeam LeadDedicated agentDedicated agent
Solution Architect———Dedicated agent
Security———Dedicated agent
Code Quality ReviewerTeam LeadTeam LeadTeam LeadDedicated agent
Agents26811
Compare plans →
Agent profile

Every agent has a role, a scope and a record

An agent's profile shows the catalog role it runs, the rules your org added on top, what it is allowed to do, and what it has delivered. Nothing merges, deploys or touches production without the approval gate your policy defines.

BEbackend-engineerBackend Engineer · Role catalog v2.8.0In session
Current item#2418 · Login form throws 500 on empty email
Your org's rulesUse pnpm, never npmDatabase changes only through migrationsKeep pull requests under 400 lines
Scope✓Write to feature branches✓Open pull requests✕Merge✕Deploy to production
Last 7 days14items Done0QA FAIL left open$0.38AI cost per item
Collaboration is the real innovation

AI agents don't replace engineers. They work with them.

The value isn’t how smart one agent is. It’s how people and agents work together across the lifecycle.

Every discussion, document and decision stays available to both, so nothing restarts from zero.

  1. 01epicyouProduct Manager
  2. 02features and acceptance criteriaProduct Manager
  3. 03story planTeam Lead
  4. 04implementationBackendFrontend Engineer
  5. 05QA verificationQA
  6. 06acceptanceTeam Leadyou
  7. 07mergeyour engineers
  8. 08knowledge captured for the next projectKnowledge

Build software with an AI team that thinks like your engineering organization.

See what specialized agents and shared knowledge change in how your teams build.

See how work gets done→