Engineering tool
How Claude Code reads repositories, proposes changes, uses tools, and fits into local and CI workflows.
Claude Code adoption
We help engineering organizations establish repository context, permission boundaries, workflow standards, review practices, and adoption measures tied to software quality.
Representative policy pattern. Final controls are specific to the repository, risk, and team.
Precise scope
Claude Code is a development agent. It is not the runtime for every application it helps build. A credible adoption program separates the engineering tool, the software produced with it, and the production platform.
How Claude Code reads repositories, proposes changes, uses tools, and fits into local and CI workflows.
The APIs, agents, data flows, and product behavior the engineering team is actually building.
The IAM, compute, observability, deployment, and cost controls that operate the resulting system.
Operating model
Map current use, repository risk, tool permissions, review bottlenecks, and the tasks where agent assistance can be evaluated.
Create maintainable CLAUDE.md patterns, architecture references, commands, and repository-specific verification rules.
Define allowed tools, protected data, approval points, deployment access, and escalation paths.
Pilot repeatable paths for changes such as migrations, tests, incident fixes, documentation, or infrastructure updates.
Track review quality, escaped defects, cycle time, rework, and adoption by workflow—not raw prompt counts.
Run working sessions on the client codebase and leave owners with patterns they can adapt without Akarui.
More agent activity is not the goal. Better software delivery is.
Adoption should be judged against engineering outcomes and risk, with controls proportionate to the repository and deployment environment.
What the team keeps
Start with the problem
A short technical conversation can establish whether the blocker is context, permissions, workflow design, platform access, or organizational rollout.