Team
Acceleration.
Shared, living context — architecture patterns, service dependencies, conventions, prior decisions — delivered to every human and AI contributor, scoped to their current task. Not a static wiki. Not a document dump. Context that evolves with every merge and decision.
AI agents work from fragments — whatever context fits in a prompt, whatever the developer remembers to provide.
Every agent reinvents context. Senior engineers spend half their time answering the same questions from both juniors and AI tools.
Dynamically Shared Context
Living, scoped context delivered to every agent and engineer — architecture patterns, service dependencies, prior decisions, and how they work together. Seamlessly integrated with your LLMs. Evolves with every merge, every decision, every change.
Learn about Dynamically Shared Context →Knowledge Graph
Queryable, interactive model of your engineering system — services, teams, dependencies, ownership, and how they work together. The foundation everything else is built on.
Learn about Knowledge Graph →Conventions Library
Codified architecture patterns, naming conventions, and team standards — maintained as living documents that agents and engineers reference automatically.
Learn about Conventions Library →Engineering Productivity
Adoption depth, context reuse, session-to-PR correlation, review efficiency, rework rates. Signals that show how effectively AI is being used across teams — not lines of code, not tokenmaxxing.
Learn about Engineering Productivity →Agents produce code that's architecturally consistent from the first attempt.
Engineers spend less time re-explaining context. The whole team moves faster because the knowledge is distributed, not bottlenecked.