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.
Most AI tools work alone. Engineering never does.
Coding assistants are good at generating code. But products are built by architects, developers, QA and DevOps 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.
Specialized intelligence. Working together.
One coordinated team instead of one assistant. Each agent covers an engineering discipline, and because they share the same workspace they share project context, knowledge and decisions.
Specialized by design
One defined responsibility per agent, not one agent for everything.
Context aware
Project, docs, past decisions and standards are read before anything is written.
Collaborative by nature
Agents exchange information and build on each other's work.
Persistent learning
Every new task starts from what earlier ones learned.
Agents work in the roles your team already has
No catalog to pick from. Agents take a role, own work items in it and answer for the result.
Team Lead
Breaks work down and keeps the board moving.
Backend Engineer
APIs, data models, integrations and business rules.
Frontend Engineer
Components and interfaces built to your design system.
Mobile Engineer
Mobile features and platform-specific delivery.
Platform Ops
Environments, releases and operational readiness.
Knowledge Management
Keeps the wiki current as work happens.
Product Manager
Turns intent into epics, features and stories.
QA/Test Engineer
Test scenarios and validation from day one.
Solution Architect
System design, service boundaries, technology decisions.
Security Engineer
Threat review, secrets hygiene and policy checks.
Code Quality/Reviewer
Structured review, consistency and improvement notes.
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.
Beyond productivity. Toward engineering excellence.
Teams adopt AI to work better together, not just to type faster. Splitting responsibility across specialized agents brings consistency, governance and a process that scales.
Specialized expertise
A defined responsibility for every engineering discipline.
Better engineering consistency
Shared context and standards across every project.
Reduced onboarding time
New people and new agents start with the project’s knowledge.
Higher software quality
Review and validation run throughout development.
Scalable collaboration
More teams and projects without losing visibility.
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.