Refactor the codebase. Ship the migration. Keep your CI green.
CodeFlow Consulting automates large-scale repository refactoring, dependency migrations, and technical debt resolution using AST graphs plus LLM logic agents.
Repository graph
1,284 modules analyzed
AST dependencies + symbol relationships
Agent plan
214 transformations proposed
Validated against compile + test constraints
Pull request
Ready to merge
Structural diff generated with verification
The platform
AI for the parts of engineering that do not scale manually.
CodeFlow combines deterministic code intelligence with agentic reasoning so complex migrations become repeatable engineering workflows—not weeks of one-off cleanup.
AST-aware repository graphs
Understand symbols, dependencies, call sites, imports, and structural relationships before changing code.
LLM logic agents
Use AI for migration planning and reasoning while keeping transformations grounded in actual repository structure.
Compile-safe transformations
Generate structural changes that are checked against build and test constraints before delivery.
Enterprise CI/CD delivery
Turn approved transformations into reviewable pull requests that fit existing engineering workflows.
How it works
From repository graph to production-ready PR.
A migration run follows a structured path so AI reasoning is constrained by the real shape of your codebase.
Ingest & map
Parse the repository into AST and dependency graphs. Identify impacted modules, symbols, versions, and change boundaries.
Plan with agents
LLM logic agents evaluate migration intent, repository conventions, and dependency relationships to produce an execution plan.
Transform structurally
Apply targeted edits across files while preserving syntax, imports, types, interfaces, and downstream relationships.
Verify & deliver
Compile, test, inspect the diff, and create a reviewable pull request for your existing CI/CD process.
Why CodeFlow
Built for the migration backlog enterprises keep postponing.
Move beyond autocomplete. CodeFlow is designed for coordinated, multi-file engineering change where correctness and traceability matter.
Large-scale repository changes, not isolated snippets
Structure-aware reasoning across files and dependencies
Reviewable pull requests instead of black-box edits
Fits existing Git-based engineering and CI/CD workflows
Framework upgrade
React 17 → 19
Dependency migration
package A → B
API modernization
legacy client → SDK
Debt cleanup
deprecated patterns
For engineering teams
Make technical debt an execution problem—not a capacity problem.
Use CodeFlow when a change spans repositories, versions, services, or hundreds of files and you still need confidence in the final diff.
Engagement
Start with the migration that is already hurting.
Scope deployments around your repositories, engineering constraints, and migration goals rather than forcing a one-size-fits-all plan.
Prove the workflow
- ✓Single migration scope
- ✓Repository analysis
- ✓Generated PRs
- ✓Engineering review
Operationalize at scale
- ✓Multi-repository workflows
- ✓Custom migration rules
- ✓CI/CD integration
- ✓Team rollout support
Attack systemic debt
- ✓Complex refactoring programs
- ✓Dependency modernization
- ✓Legacy-to-modern migrations
- ✓Technical strategy support
Engineering principle
“The right way to automate large-scale code change is to combine machine-readable structure with machine reasoning—and make the resulting diff inspectable.”
CodeFlow Consulting