Every developer teaches their own agent the same things again and again, and what one team learns never reaches the others. Our Shared Brain puts your rules, skills, architecture context and quality checks in one versioned repository that every team and every coding agent uses. It is a shared layer of the Agentic SDLC Factory Platform, and it can be started on its own.
The Shared Brain is your organization's AI memory, kept in Git as code. It follows the Context Scaffolding and Directives as Code factors of our Twelve Factor Agentic SDLC methodology: context is treated as a dependency that is versioned, reviewed and improved over time. It keeps hard rules, such as security and architecture constraints, apart from taste, the examples of good and bad code that teach agents your team's style. In six weeks we scan your codebase, build the repository with your tech leads from real work, switch on the improvement loop, and hand it to your AI leads.
At its core is the team-ai-directives repository, organized into context modules (rules, personas and examples), skills and evals. Rules hold the hard constraints, examples teach style, personas set the role an agent plays, skills are repeatable workflows and evals check the results. Agents receive only the context the active task needs. It works with any coding agent, model or harness, and fits your existing Git workflow, IDEs and CI/CD. Because everything is versioned in Git, changes to AI behavior are tracked and reviewed like any other code.
AI behavior that is consistent, versioned and improves with every sprint.
Rules, personas, examples and architecture context live in a single repository used by all teams.
Proven workflows, such as generating an API spec, become shared skills that any agent can call.
AI instructions are versioned, reviewed and shared like any other engineering asset.
Evals in the repository check agent output against your own rules and standards.
The Ratchet Effect: when an agent repeats a mistake, the fix becomes a pull request, so no agent in any team repeats it.
Your AI leads curate the Shared Brain with clear owners and a "Build to Delete" routine that prunes outdated rules as models improve.
The Shared Brain is built in six weeks, in four phases, with your tech leads involved throughout. The process is scoped to a group of up to 50 developers, and then moves on to the next group.
(Week 1)
We scan your codebase and map the rules, documents, architecture records, prompts and tools your teams already use, and agree on the scope and the owners.
(Weeks 2-3)
Together with your tech leads we design the repository: context modules, personas, skills, evals and the way teams contribute to it.
(Weeks 4-5)
We fill the Shared Brain with real rules, skills and evals from your teams' work, run it in live sprints, and switch on the improvement loop: when an agent repeats a mistake, the fix becomes a pull request to the repository.
(Week 6)
We train your AI leads, set the contribution, review and update routine, including how outdated rules are retired as models improve, and measure the results against the baseline.
For the complete solution, the Shared Brain works together with AI Transformation, the Agentic Factory Floor and AI Cost Optimization in the Agentic SDLC Factory Platform
Ready to build your Shared Brain?
Let's turn your engineering knowledge into context that every team and every agent can use.
