Autonomous AI that executes the full engineering workflow—enabling AI development in complex, decades-old environments where most coding tools struggle. CoderFlow turns potential productivity gains into repeatable outcomes that can run in production.
Coding assistants generate drafts. CoderFlow delivers verified results ready to commit—designed for the large, long-lived systems where backlogs are constrained by testing, validation, and risk, and where mistakes are expensive.
Agents evaluate their own output using concrete signals—successful builds, tests, and expected runtime behavior.
Compile, test, detect failure, retry, and converge autonomously—without waiting on a developer at every step.
Designed for real enterprise environments, not single-repo, greenfield projects.
Multiple agents propose alternatives, with automated evaluation that explains the tradeoffs.
Humans review verified outcomes in controlled environments—not every keystroke.
Containerized execution, parallel agent orchestration with model comparison, conversion and refactoring templates, automated UI and regression testing, and Git-based approval workflows.
RPG, COBOL, 5250, and rich display files—with native IBM i–AI tools for building, executing, and testing.
Node.js, Java, Python, and .NET, so a single agentic workflow spans your legacy and modern code.
Run multiple models at once and automatically compare outputs to converge on the strongest solution.
Templates for conversion, refactoring, and documentation feed into Git-based approval and CI/CD pipelines.
Futurize without disruption: reduce backlog and technical debt, prepare for developer retirement, and deliver faster—without increasing risk.
See how CoderFlow executes the full build–test–fix loop inside your environment—turning AI potential into repeatable, verified outcomes.
Connect with a Futurization Expert