Multi Agent SDLC Platform For Autonomous Application Modernization

Used multiple specialized AI agents instead of one large autonomous agent.
Workflow started with existing application analysis.
Agents handled:
- Application analysis.
- Dependency analysis.
- Architecture recommendations.
- Cloud modernization recommendations.
- Code transformation.
- Test generation/execution.
- Security validation.
- Cloud-native deployment preparation.
Example workflow:
- Analyze → Recommend → Transform → Test → Security Validate → Deploy
Application modernization could include:
- Legacy application analysis.
- Cloud-native architecture recommendations.
- Containerization.
- Kubernetes deployment.
- Infrastructure generation using Terraform.
Changes remained subject to engineering validation and governance.
GitOps provided controlled deployment.
Security validation was incorporated before deployment.
Goal:
- Accelerate modernization while maintaining engineering and security controls.

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