Why Most IBM i Staff Augmentation Doesn’t Shrink Your Backlog
Search “IBM i staff augmentation” and every provider claims the same thing: real experience, fast ramp-up, lower cost. Almost none of them can show you what that means on day one. Here is how to tell the difference, and why the answer increasingly involves more than the person you hire.
Stop Guessing Which AI Model to Use: How CoderFlow’s Automatic Model Selection Works
Not every coding task needs your most expensive model, but figuring out which ones do has been a manual guessing game. CoderFlow’s new Auto model selection rates each task and routes it to the right tier automatically, across both Claude and Codex agents.
Inside the Judge: How CoderFlow’s Judge Agents Decide What Ships
Verified, ready-to-commit is the standard. Judge agents are the mechanism. Here’s how CoderFlow actually decides which of several competing implementations ships, what it evaluates to get there, and why a visible decision beats a fast one.
Why the Right AI Model for Your RPG Codebase Isn’t Always the Same One
Most AI coding tools ask you to trust one model with everything. For decades of RPG and COBOL logic, that trade-off deserves more scrutiny than it usually gets.
Why Most IBM i Shops Haven’t Started With AI Yet (And What the First Step Actually Looks Like)
IBM i leaders are more worried about falling behind on AI than ever before, but worry has not translated into action. Here is what is actually causing the freeze, and a first step that does not require betting the farm.
CoderFlow on IBM i: What Real Development Tasks Actually Look Like
Descriptions of agentic coding are easy to find. What is harder to find is a straight answer to a simple question: what does it actually look like when you hand a task to an agent in a real IBM i environment? This post walks through three examples.
AI Digital Labor on IBM i: Scaling Delivery Without Scaling Headcount
The question IT leaders are asking is no longer whether AI can write code. It’s whether AI can take on the sustained delivery work that enterprise teams need done without expanding payroll. On IBM i, the answer is already being demonstrated in production.
IT Builds It. IT Controls It. The Case for Agent-Driven Business Automation on IBM i.
Every IBM i shop has business processes that run on human effort today: repetitive, documented workflows that someone executes manually because no one has gotten around to automating them. CoderFlow gives IT the ability to set up AI agents that handle those workflows autonomously, with full governance and control staying exactly where it belongs.
Agentic Display Files: The UI Breakthrough IBM i Teams Have Been Waiting For
What if an AI agent could design a complete, responsive web screen from a plain-English description of what it should do? With Agentic Display Files in Profound UI, that’s exactly what becomes possible and it changes what IBM i futurization looks like.
Why We Built CoderFlow for IBM i Instead of Retrofitting Something Else
The IBM i market has watched a lot of “solutions” arrive from the outside, built for other environments and adapted for legacy systems as an afterthought. CoderFlow was built differently: starting from a deep understanding of how IBM i systems actually work and designing an agentic platform that reality, rather than around it.
One Template. Hundreds of Programs. That’s What Scale Looks Like on IBM i.
Converting a single RPG program to free-format is a task. Converting 500 of them is a project that can consume an entire development team for months. CoderFlow’s templates and batch processing change that equation, turning repeatable futurization work into scalable, parallel execution with a human review step at the end.
CoderFlow on the Go: Mobile Access for Your Agentic Workflows
Your autonomous agents don’t stop working when you leave your desk. Neither should your ability to manage them. CoderFlow’s responsive web UI puts task monitoring, environment control, and agent activity review in your pocket, with no app to install.
What a Junior Developer Learns in Six Months, CoderFlow Teaches Itself in Six Minutes
Hiring a junior developer to work in an IBM i environment doesn’t solve the knowledge problem. It transfers it. CoderFlow takes a different approach, and the implications for teams facing the talent cliff are significant.
What Happens to Your Day When AI Does the Build-Test-Fix Loop
Most conversations about AI and developer productivity focus on speed. Fewer ask the more important question: speed at what, exactly? When AI autonomously executes the build-test-fix loop, the daily rhythm of development work changes in ways that go beyond doing the same things faster. Here’s what that shift actually looks like.
The Staffing Cliff Is Real: What IBM i Organizations Should Be Planning Right Now
Every IBM i organization knows the headcount is shrinking. The average RPG developer is in their mid-to-late fifties. Retirements are accelerating. Hiring to backfill is difficult in the best of circumstances, and the pipeline of developers entering the field with IBM i expertise slow growing. Most technology leaders are aware of this. What many haven’t fully reckoned with is what leaves when a veteran IBM i developer […]