Give developers advanced tools to accelerate their jobs - bulk code edits, automatic service catalog, and self-service capabilities. All powered by AI.
Three reasons day-to-day developer work slows to a crawl at scale — and how CodeCargo gives developers leverage without giving up control.
Developers file tickets with the platform team for environments, secrets, deploys, and pipeline changes.
Velocity stalls while requests sit in a queue. The platform team gets buried in operational toil.
Self-service workflows expose pre-approved automations as forms — devs run them on demand with guardrails.
Applying the same change across 50 repos means 50 git checkouts, 50 pull requests, and all the AI tokens needed to do so.
Instead of hours, bulk changes take days or weeks, require complex setup, and millions of AI tokens.
Multi-repo workspaces let one developer ship a coordinated change across hundreds of repos in a single review.
AI coding agents generate more code than ever — much of it convoluted and spread across hundreds of services.
Developers can't keep a mental map of who owns what, and refactors break code they didn't know existed.
The AI service catalog auto-generates and maintains a live map of every service, pipeline, owner, and dependency.
Apply changes to many codebases at the same time, with one review and one operation.
Pre-approved workflows developers can run from a UI — with guardrails baked in.
Always-current map of services, owners, dependencies, and CI/CD coverage.
Bulk changes, self-service, and a live service catalog — the trifecta that turns one developer into ten while your platform team keeps the guardrails on.
Multi-repo workspaces and AI-assisted edits ship a coordinated change across hundreds of repos in a single review.
Pre-approved workflows expose deploys, environment provisioning, and pipeline changes as forms — no platform tickets required.
An AI-maintained catalog tracks every service, owner, dependency, and CI/CD path so developers always know what they are touching.
Load every consumer of the API into a workspace, ask the Expert Workflow Agent for the refactor, review the diffs in one place, and ship a coordinated PR per repo — no shell scripts, no spreadsheets, no manual review tracking.
Point CodeCargo at any workflow_dispatch action you already run in GitHub. CodeCargo imports it as a Building Block — no rewrites required.
Expose Building Blocks as form-driven Self-Service Workflows in CodeCargo's UI. Configure inputs, RBAC, and approval rules without touching YAML.
CodeCargo analyzes your repos to auto-generate a service catalog — services, owners, dependencies, and CI/CD coverage stay current without manual upkeep.
The GenAI Editor coordinates bulk edits across hundreds of repos in a single review — refactor an API, bump an action version, or apply a security fix everywhere at once.
No. Self-Service Workflows are form-based — developers (and non-developers) fill in inputs and click run. The underlying YAML is authored once by the platform team and reused.
CodeCargo never stores GitHub secrets — they stay in GitHub. Code is loaded into context for the GenAI Editor only when a developer chooses to load it.
It is auto-generated from your repos using a six-stage pipeline. As code, ownership, and dependencies change, the catalog updates automatically — no manual upkeep.
Yes. Self-Service Workflows support three GitHub authorization modes (GitHub User, GitHub App for an entire org, GitHub App restricted to specific repos). RBAC is project- and org-scoped.
See how CodeCargo turns GitHub into a self-service platform — without taking control away from your platform team.