A complete development team, activated with one click.
Agent Cells brings together AI agents with real roles (product, project management, backend, frontend, QA, DevOps and security) that split the work, run code in isolated environments and ask for your approval before moving forward where it matters.
- Specialized roles
- Live task board
- Human approval
- Isolated, ephemeral environments
Your backlog grows faster than your team.
Instead of a tool that suggests code, Agent Cells gives you a cell that executes: each agent takes tasks from its role, works on your repository and leaves evidence of what it did. You decide what gets approved.
Bottlenecks
Repetitive tasks across every role consume the time of your best people.
Uncontrolled AI
Assistants that “do everything” without traceability or approval will not pass an audit.
Scattered tools
Jira, Git and code live apart: context is lost at every handoff.
Agent Cells in 90 seconds
Watch a cell take a requirement, break it into tasks, generate and test the code, and ask for your approval.
From a requirement to a pull request, with you in charge
-
1
You activate a cell
Choose the roles you need and connect your tools: Jira, Confluence and your Git repository.
-
2
Agents split the work
The product and management agents break down the requirement; each role claims its own tasks without stepping on the others.
-
3
It runs in an isolated environment
Code is generated and tested in an ephemeral container that is destroyed afterwards, never touching your infrastructure.
-
4
You approve and it ships
See the result on the board, approve the sensitive steps and the cell opens the pull request fully documented.
Everything an AI team needs to do serious work
Specialized roles
Product, project management, backend, frontend, QA, test automation, DevOps and security, each with its own way of working.
Live board
Follow every task, who took it and its status. Tasks are claimed safely, with no duplicates.
Ephemeral sandboxes
Code runs in isolated containers on Kubernetes, with time limits, bounded logs and automatic cleanup.
Human approval
Sensitive steps wait for your go-ahead. No surprises, no unreviewed changes.
Connected to your tools
Works with Jira, Confluence and Git, and can be consumed from other tools through its own MCP server.
Retries and traceability
If a task fails, retry it with one click and see the exact reason: every execution is recorded.
For every role in your organization
Delegate the routine, review what matters
Routine tasks move on their own and you review pull requests with full context instead of writing them from scratch.
From idea to an ordered backlog
Turn a requirement into stories and tasks ready for the team, synced with Jira.
Tests and pipelines without friction
The QA and DevOps agents generate and run tests and automations in disposable environments.
Plugs into what you already use
Autonomy with governance
Human approval
Nothing sensitive moves forward without your explicit confirmation.
Isolation by design
Every run happens in an ephemeral environment, separate from your infrastructure and from other tasks.
Full traceability
A record of which agent did what and when, ready for audits.
Frequently asked questions
Put your first cell to work
We will show you Agent Cells on a real case from your team: from requirement to pull request, with human approval at each step.