FAQ
Questions about CodeFlow
The product is built around structure-aware automation, not generic code generation.
What does CodeFlow Consulting automate?+
Large-scale repository refactoring, dependency migrations, framework upgrades, API modernization, and technical-debt cleanup where the work spans many files or modules.
Why combine AST graphs with LLM agents?+
AST and dependency graphs provide machine-readable structure and impact analysis. LLM agents add reasoning for migration intent, repository conventions, and planning. The combination keeps AI decisions grounded in the codebase.
Does CodeFlow replace code review?+
No. CodeFlow is designed to produce reviewable pull requests. Engineering teams keep their normal review, approval, and CI/CD gates.
What happens before a pull request is delivered?+
The workflow can analyze affected code, apply structural transformations, inspect the generated diff, and run configured compile or test checks before delivery.
Can it handle enterprise repositories?+
The platform is intended for complex enterprise codebases, including multi-file and multi-module changes. Deployment scope should be evaluated against the repository, build system, and security requirements of each team.
Is this just an AI coding assistant?+
The focus is different: CodeFlow targets coordinated codebase change—refactoring and migration work that is difficult to complete reliably through line-by-line assistance alone.