Platform transforms AI coding from experimentation into production reality, delivering measurable results inside complex systems through autonomous agents that compile, test, validate, and fix code end-to-end within customer infrastructure 

Profound Logic, the leader in IBM i futurization, today announced CoderFlow, an enterprise-grade agentic coding platform designed to make exponential AI productivity gains achievable inside complex, legacy systems. While modern AI models create the potential for dramatic improvements, CoderFlow turns that potential into something practical, safe, and repeatable for organizations running mission-critical enterprise and legacy environments. 

Unlike IDE-based AI assistants that help developers write code faster, CoderFlow runs autonomous engineering agents that complete real work end to end, compiling, testing, validating, and fixing code directly against existing systems within the customer’s infrastructure. This eliminates the manual debugging loops and repetitive tasks that consume developer time, freeing teams to focus on architectural decisions and solving business problems. Developers shift from writing and debugging code to reviewing verified, ready-to-commit outcomes, enabling teams to capture agentic productivity gains without increasing risk or disrupting critical systems. 

“The AI coding tools available today are impressive, but they stop at suggestions,” said Alex Roytman, founder and CEO of Profound Logic. “CoderFlow bridges the gap between AI’s potential and enterprise reality. Our autonomous agents don’t just generate code—they compile it, test it, fix failures, and deliver verified outcomes. This is what it takes to realize order-of-magnitude productivity gains in real enterprise environments.” 

Completed Engineering Work, Not Code Suggestions 

CoderFlow fundamentally differs from cloud-based and IDE tools by delivering completed, verified engineering work rather than code snippets. The platform’s autonomous agents operate through complete development cycles—compile, test, detect failure, fix, and retest—without constant human intervention. All execution happens inside the customer’s infrastructure, with controlled, task-scoped context securely shared with foundation models such as Claude, OpenAI, or Gemini. 

CoderFlow also enables multi-model orchestration, running a single task through different LLMs simultaneously. Judge agents then evaluate outputs and explain tradeoffs, dramatically reducing single-path failure modes and improving overall solution quality. 

Architecture Enterprise-First  

CoderFlow is built for real IT environments, not isolated coding sessions. The platform works across multiple repositories, supports IBM i alongside modern stacks including Node.js, Java, Python, and .NET, and integrates with Git, JIRA, and enterprise development processes. This allows organizations to adopt agentic coding without replatforming their development processes or disrupting existing delivery pipelines. 

Key capabilities include: 

• True end-to-end automation: Compile, test, validate, and prep deployments far beyond code suggestions 

• Multi-repo orchestration: Handles green-screen workflows, Rich Display UI testing, and IBM i build dependencies 

• Governed environments: Shared templates, rules, and workflows with role-based access controls 

• Full CI/CD integration: Git-based workflows, automated testing, and pipeline integration 

• Agentic workflows: Direct integration with development systems for autonomous issue resolution 

High-Impact Use Cases 

CoderFlow addresses long-standing modernization bottlenecks that have kept IBM i organizations trapped in technical debt. The platform converts fixed-format RPG to modern RPG with documentation, eliminating dependence on scarce legacy skills. It refactors RLA to SQL access patterns and futurizes 5250 green screens to browser-based Rich Display Files, dramatically improving system accessibility for modern developers. Bug backlogs that have languished for years can now be triaged and resolved in parallel with automated testing, clearing the path for innovation. 

“Agentic coding allows companies to enhance, refactor, and extend existing applications without disrupting operations,” said Roytman. “This is futurization in action: organizations can systematically address technical debt through incremental change instead of risky rewrites, all while keeping mission-critical systems running smoothly. The 5-10× productivity gains translate directly into faster project delivery, reduced maintenance costs, and the ability to innovate without increasing headcount.” 

Businesses interested in learning more about CoderFlow can visit profoundlogic.com/coderflow. 

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About Profound Logic    

Profound Logic is the only IBM i technology partner that takes you beyond modernization and into AI-enhanced futurization. For over 26 years, we have equipped IT teams with innovative solutions such as natural language AI, system transformation, API creation/management, and application development. With Profound Logic, the future is flexible, and coexistence is always built in.