Codebase Cartographer
Maps the legacy system with the Context Engine: architecture, dependencies, conventions, implementation variants, and the risk in each repo.
Migrations
Run framework upgrades, legacy rewrites, and platform migrations as one orchestrated program.
Cosmos maps the legacy system with the Context Engine, drafts a migration playbook your team approves, and fans worker agents out across hundreds of repos for assessment or execution. Reports aggregate into one plan, and every change is reviewed before merge.
Meet Cosmos
Point Cosmos at your legacy systems. The Context Engine reconstructs the architecture and conventions nobody wrote down, the Planner turns them into a migration playbook your team approves, and the fleet executes it across repos in parallel waves with a full audit trail. Each migrated repo makes the next one faster.
What our customers are seeing
Cosmos runs the whole arc. The Codebase Cartographer maps the legacy system, the Migration Planner drafts a per-repo playbook your team approves, Migration Authors execute it across repos in parallel waves, and the review fleet verifies every change before merge. Every wave feeds what it learned back into the playbook.
Maps the legacy system with the Context Engine: architecture, dependencies, conventions, implementation variants, and the risk in each repo.
Drafts the per-repo playbook from the map: the transforms, the test strategy, and the order of the waves.
Approves the playbook and the wave plan. Sets the rollout gates.
Execute the playbook or run assessment across repos in parallel waves. Each worker returns a structured report, fixes tests and CI when code changes are in scope, and runs in an isolated environment.
Correctness and regression passes on every repo before merge. Failures route back to the authors with the diff attached.
Migration Memory
Every wave refines the playbook · Shared across the fleet
How the program runs
The consultancy model scales by adding people and ends in a risky cutover. A Cosmos program scales by adding compute, merges wave after wave behind the review fleet, and leaves the playbook and the memory in your org when the work is done.
Where programs start
If the work spans more than a handful of repos, it runs better as a program. Three places most modernization efforts start.
Java, Python, and Node LTS upgrades. Vue and React major versions. Worker agents classify which implementation each repo uses, estimate upgrade effort, and feed one aggregate report before the migration starts.
COBOL-class systems and monoliths headed for services. The Context Engine reconstructs the architecture and conventions nobody wrote down, and the review fleet verifies behavior on every change.
Cloud moves, internal API deprecations, and standardization across hundreds of repos run as background waves, so feature work never stops while the migration ships.
Talk to Cosmos Advisor to shape the program around your codebase: which repos move in which wave, what the playbook must verify, what each worker reports, and who signs off at each gate. Keep your VCS, your CI, and your compliance posture.
Kubernetes deployments are in scope, and every wave is logged to your SIEM.