Use Case: Agent Workflows for Code Analysis
Problem Statement
Organizations managing large or legacy codebases often struggle to understand dependency risks, complexity hot spots, and potential issues before modernization or migration projects. Manual reviews are slow, inconsistent, and difficult to scale across multiple teams and repositories.
Key Challenges
- Scale: Large repositories require significant time to analyze manually.
- Hidden dependencies: Cross-module calls and shared utilities are easy to miss.
- Inconsistent standards: Different teams apply different review criteria.
- Limited visibility: Leaders need clear summaries, not raw findings.
- Risk triage: It is hard to prioritize which functions or modules need attention first.
How Agent Workflows Solve the Problem
DataDios Agent Workflows provide an asynchronous, human-in-the-loop approach:
- Code Structure Analysis maps dependencies and flags issues.
- Complexity Analysis classifies functions and highlights risk areas.
- Approval gates ensure human review before moving to the next step.
- RAG support allows workflows to reference additional documentation or metadata for better context.
Example Scenarios
-
Modernization Planning
Run Code Analysis to identify high-complexity functions before refactoring. -
Migration Readiness
Surface dependencies and critical modules to plan phased migrations. -
Knowledge Transfer
Generate structured summaries and insights for new teams or vendors.
Outcomes
- Faster discovery of dependencies and hotspots
- Clear, step-level audit trail with approvals
- Actionable summaries that reduce manual review effort