It keeps a team's decisions, patterns, and practices current as the code and product change, so each agent run can use what the team has learned.
Every correction is a chance to improve the next run. Atlas turns those signals into practices your team can trust.
Atlas connects the repository with product decisions, agent sessions, pull requests, reviews, tests, and documentation.
Repeated mistakes, skipped checks, stale instructions. Atlas spots where the team's guidance and the code have moved apart.
Atlas proposes the smallest useful update: a skill, rule, policy, prompt, document, check, or hook. Grounded in the evidence that prompted it.
People decide what changes, who owns it, where it applies, and how it's enforced. Exceptions have owners and expiry dates.
Relevant tests, checks, reviews, and future agent runs show whether the practice works. An instruction is only useful when it changes the outcome.
When code moves or decisions evolve, Atlas detects drift, suggests updates, and helps retire guidance that no longer belongs.
A focused change, right where your team works. Explore an example of what Atlas could propose for an orders export.
# Add an export safely + Read rules/permissions.md + Reuse the Orders table export helper + Run: pnpm test export + Run: pnpm test permissions + Ask Orders platform if scope changes Proof required before calling this done: + Export test passes + Permission test passes
Atlas, clearly explained
Atlas is a living team playbook for AI coding agents. It keeps a team’s decisions, patterns, and practices connected to the code and current as the product changes.
Atlas is for engineering teams using AI coding agents that want shared guidance grounded in their repository, reviews, tests, and product decisions.
Atlas connects repository, product decisions, agent sessions, pull requests, reviews, tests, and documentation. It looks for repeated corrections or stale guidance, proposes focused updates, and leaves approval, ownership, and scope to people. Tests and future runs help verify the updates.
Atlas turns recurring feedback and drift into proposed updates to skills, rules, policies, prompts, documents, checks, or hooks, with team approval and a link to the evidence or proof.
Atlas is described as a system for maintaining the team playbook, not as a code reviewer. It uses pull requests and reviews as evidence to find recurring lessons and improve team guidance.
The page describes Atlas connecting the repository, product decisions, agent sessions, pull requests, reviews, tests, and documentation. It does not specify the exact data fields or access scope.
The page shows examples of proposed skills, rules, checks, and hooks, and describes possible updates to policies, prompts, and documents. It does not specify an installer or name vendor integrations.
Atlas connects team guidance to the repository, decisions, agent sessions, reviews, and tests. When practices drift, it proposes updates for people to approve, then uses tests and future runs to help verify them.
Better context. Every time.
A living team playbook.
Connected to the code.
Built on what you've learned.