A coordinated team of specialized agents. Each one owns a part of the SDLC, communicates in real time, and stays aware of the bigger picture — orchestrated end to end with governance built in.
Ingests legacy code, documents, meeting minutes, and Jira stories to extract explicit and implicit requirements with source content — then structures, classifies, and traces them across the lifecycle.
Legacy code · documents · meeting minutes · Jira stories
Extract, categorize & map to projects & stakeholders
BRD · Jira stories · traceability · dashboards
Spring Boot, Node, .NET
React, Angular, Vue
DDL, migrations, OpenAPI, Postman, gRPC
Docker, Helm, IaC
Iterative generation and evaluation delivers 90% complete, best-in-class code from RGEN output, application metadata, and your tech-stack alignment — with security scored on generation.
Generates functional, integration, regression, performance, and security test cases from code, user stories, and requirements — then executes autonomously and heals itself over time.
Functional, integration, regression, performance
Runs across pipelines with defect logs & metrics
Risk-based prioritization & traceability
Adapts to every release
Closes the loop on the pipeline by packaging the modernized, tested application into a production-ready delivery bundle.
Everything needed to ship
Portable & reproducible
Automated, repeatable releases
RGEN → CodeGen → TestAI → Deploy, orchestrated end to end with governance built in — 85–95% automated coverage.
RGEN reverse-engineers and captures requirements from any source.
CodeGen generates secure, story-aligned production code.
TestAI generates and runs tests autonomously to 90%+ coverage.
Deploy packages a production-ready, containerized delivery bundle.
LLM-agnostic, secure by design, and trained on your standards. Explore the platform or book a walkthrough.