Profound Logic Software
At Profound Logic, our mission is to provide the most innovative and native solutions for IBM i application development and modernization. Since 1999, we've helped thousands of customers around the world eliminate green screens, transform legacy interfaces, develop modern desktop and mobile applications, integrate open source development, and optimize enterprises that use IBM i. Our developers are
"CoderFlow is writing CoderFlow." That's not a thought experiment. That's what's happening right now. 40 to 50 commits a week, generated by the platform itself, moving fast enough that the team built an automated weekly commit report just to keep up.
Here's why that's possible when other AI tools struggle with IBM i π½
Frontier models like Claude and Gemini don't know IBM i. Not really. So instead of pointing a generic LLM at your RPG codebase and hoping, CoderFlow ships with IBM i Bob, an AI trained specifically on IBM i, RPG, and COBOL, plus a Skills system that encodes exactly how your environment compiles, resolves dependencies, and builds objects.
The result? Claude handles logic. Gemini handles UX. IBM i Bob handles the IBM i layer. Each model doing what it does best, inside a governed pipeline that knows your environment.
That's not a retrofitted AI tool. That's purpose-built agentic infrastructure for IBM i.
Watch the full breakdown of how CoderFlow differs from just using an LLM: https://hubs.la/Q04jmRD-0
A major manufacturer came to us with a problem most IBM i shops recognize immediately.
RPG developers were retiring. The legacy codebase had decades of technical debt. Users were stuck on 5250 green screens. The team was developing directly on their production system with no standardized testing, no proper change management, and no safe path to move faster.
The instinct was to rewrite everything. We talked them out of it.
Instead: automated conversion of RPG and DDS to Node.js and JavaScript. Rich Display web interfaces replacing green screens. Git, Azure DevOps, and a proper development partition stood up. A phased approach where legacy and futurized applications ran side by side throughout.
The results:
β 40% reduction in new employee training time
β 35% faster development of new features
β 50% drop in defect rates in new development
β Deploys that went from weeks to days
Leadership's only regret was not starting sooner. Read the full case study: https://hubs.la/Q04gP6mB0
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