One of the things you hear from IBM i leadership teams more than almost anything else: "we can't afford to disrupt our 24/7 operations, but we also can't afford to fall behind." That tension is real. And for a long time, there wasn't a clean answer to it. A global logistics leader, one of the largest transportation networks in the world, faced exactly that situation. Decades of refined routing algorithms and business logic running on IBM i. Mission-critical systems that processed millions of transactions without incident. And an aging technology stack that was becoming a barrier to the new capabilities the business needed. What they didn't want was a rip-and-replace project. What they needed was a way to futurize without the operational risk that comes with it. Profound AppDev's coexistence model gave them that. Legacy and futurized systems running in parallel. Transformation at the program level, not the platform level. Green screens becoming modern web interfaces.. New capabilities built while the RPG underneath kept running. Every layer unified under a single web-based navigation layer. The result? 💥 ZERO operational disruption. 💥 A development team empowered with low-code capabilities, which they adopted quickly. 💥 A foundation for AI and IoT integration that didn't exist before. Want to dive into the details (and see how we can do the same for your business?) Read the full case study: hubs.la/Q04jYFtY0 #IBMi #Futurization #ProfoundAppDev #Logistics #CaseStudy

There's a number that doesn't get talked about enough in IBM i circles. 11,400 baby boomers reach retirement age every single day. The average RPG developer is in their mid-to-late fifties. The pipeline of developers entering the field with real IBM i expertise is not keeping pace with the ones leaving it. Most technology leaders know this. What many haven't fully reckoned with is what actually leaves when a veteran IBM i developer walks out the door. Agentic coding changes the math here in a specific way. CoderFlow agents can systematically work through an application portfolio, analyzing RPG and COBOL programs, surfacing embedded business rules, mapping dependencies, and generating documentation while the people who can validate it are still there. Then, with that institutional knowledge encoded in the Skills system, a smaller team can do what previously required a much larger one. That's not a replacement for the people leaving. Nothing is. But it changes what the people who remain can accomplish. Read the full breakdown: hubs.la/Q04jY09S0 #IBMi #Futurization #AgenticCoding #CoderFlow #TechTalent

Walk through any IBM i shop, and you'll find them. The order validation process someone runs manually every morning. The report that gets pulled, formatted, and emailed on a schedule that hasn't changed in twelve years. The reconciliation routine that one person on the team knows how to execute, and that nobody else has ever been trained on. These workflows persist not because no one wants to automate them. They persist because automating them properly requires development resources already committed to higher-priority work. CoderFlow changes that equation. IT sets up the agent, defines what programs it can call, controls the access and authority levels, and maintains full governance. The agent handles the workflow end to end. Every action is logged. Nothing touches production without an approval gate. Business users get the automation they've been waiting for. IT stays in control of how it happens. That's the right order of operations, and it's the only one that doesn't create problems six months later. See how IT-controlled agent automation works on IBM i 👉hubs.la/Q04jY8KX0 #IBMi #AgenticCoding #CoderFlow #Futurization #EnterpriseAI

Witra Logistics & LERROS Moden needed to double its daily processing capacity. They also needed to not blow up the IBM i environment that their entire operation ran on. They went from 6,000 to 12,000 SKUs processed per day. Delivery times dropped. New logistics clients can now be onboarded faster. And the IBM Power i platform kept running exactly as it always had. The integration layer was Profound API connecting a high-tech automated sorting system, 250-plus cartons per run, real-time sensors, laser controls, to IBM i through REST interfaces. No migration. No cutover risk. A modular architecture that was designed from the start to grow. "We've been helping our customers solve a multitude of requirements, from adding new functionality, to building APIs, to including AI into their workflows." — Marc Ramus, Task Force IT-Solutions, Profound Logic Futurization Alliance Member Fashion logistics at that scale, on IBM i. Worth a read. See the full study: hubs.la/Q04jlPtT0. #IBMi #Futurization #ProfoundAPI #CaseStudy #Manufacturing

Here's a pattern we've watched play out more than once in the IBM i market.... A solid AI coding tool builds momentum in cloud-native environments. IBM i shops start asking about it. An adapter gets written. A press release announces "IBM i support." And then IBM i teams spend the better part of a year figuring out where it breaks, because it was never actually built for how their environment works. 5250 screen flows aren't web interfaces. Multi-library structures aren't something a generic model navigates intuitively. The business logic accumulated across decades of RPG programs isn't a problem you can prompt your way around. We've been inside IBM i environments for almost 30 years. That history shaped every decision behind CoderFlow, not as a credential, but as source material. We knew what had to be true for an agentic platform to actually work here: native RPG, COBOL, and CL compilation via SSH. Real navigation of 5250 flows and Rich Display Files. A DB2 driver built for this environment specifically, not a generic JDBC connection. None of that was bolted on after the fact. It's how the platform was designed. See what purpose-built actually means for IBM i: hubs.la/Q04jlLdT0. #IBMi #AgenticCoding #CoderFlow #Futurization #EnterpriseAI

Something we kept running into with agentic screen development? The agent could only produce what the widget library allowed. That's a real ceiling. Large language models are trained on HTML, CSS, and JavaScript — that's the language they reason in fluently. Ask one to produce a screen inside a proprietary component palette, and the output gets inconsistent. More prompting. More corrections. The productivity gain is there, but it's partial. Agentic Display Files change the architecture. Agents now write screens directly in EJS, HTML, CSS, and JavaScript; no widget constraints, no proprietary overhead. The RPG program underneath doesn't move. The Open Access handler doesn't change. What changes is that the agent is working in a language it knows deeply, which means the screens it produces actually match what the business needs rather than what the palette can express. Responsive layout comes standard. Multiple design directions are possible because the agent isn't constrained to a single output style. And for teams with existing DDS display files, agents can read the field structure and screen logic, then rebuild the interface cleanly as an Agentic Display File, every field preserved, RPG untouched. It's a small architectural shift with a meaningful practical effect on what futurization can actually deliver. See how it works: hubs.la/Q04jmGvc0 #IBMi #AgenticCoding #CoderFlow #ProfoundAppDev #Futurization

40% reduction in new employee training time. 35% faster delivery of new features. 50% drop in defect rates. Deploys that went from weeks to days. These are outcomes from a real manufacturing futurization engagement. A company with decades of RPG business logic, a shrinking developer pool, and users stuck on green screens. They didn't rip and replace. They futurized. Automated code conversion from RPG and DDS to JavaScript. Modern web interfaces built on top of existing business logic. A phased rollout where both systems ran simultaneously. The multi-million-dollar full system replacement they were dreading never happened. The codebase is now platform-agnostic. They can move to cloud, Linux, or Windows when the business calls for it, without another major conversion. That path is already built. Read the full case study: hubs.la/Q04gP0BJ0 #IBMi #Manufacturing #Futurization #IBMiDevelopment #CoderFlow

When private equity acquired Western Power Sports, the assumption was that IBM i would go. Then someone actually looked at what it was doing.....$3 million a day in e-commerce revenue. 99.9% of sales processed online. The whole operation supported by a team of 3.5 people. 👀 "They wanted to replace it because they thought the 400 was old-fashioned. Then they started looking at it... and they forgot about replacing it." That's not a legacy story. That's what happens when the right futurization partner builds on what works instead of tearing it out. Read the full story: hubs.la/Q04jmNfT0 #IBMi #Futurization #ProfoundAppDev #CaseStudy #ECommerce

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: → 40% reduction in new employee training time → 35% faster development of new features → 50% drop in defect rates in new development → Deploys that went from weeks to days Leadership's only regret was not starting sooner. Read the full case study: hubs.la/Q04gPg1h0 #IBMi #Manufacturing #Futurization #RPG #CoderFlow

"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 🔽 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: hubs.la/Q04jmGhW0 #IBMi #AgenticCoding #CoderFlow #Futurization #EnterpriseAI

Coding assistants generate drafts. CoderFlow delivers verified results ready to commit. CoderFlow agents run full build-test-fix loops autonomously. They evaluate their own output using concrete signals: successful builds, test results, expected runtime behavior. They retry and converge without waiting for a human at every step. By the time code reaches developer review, it has already been compiled, tested, and validated. The productivity ceiling for "AI that suggests" is a faster developer. The floor for "AI that finishes" is a 5 to 10x gain in throughput. For teams futurizing IBM i systems, RPG, COBOL, 5250, Rich Display Files, this is the difference between AI that's interesting and AI that changes how the team operates. All execution stays inside your infrastructure. Only minimal context goes to cloud models. No full repositories, credentials, or bulk data leave your network. Take a closer look at CoderFlow: hubs.la/Q04gPsGf0 #IBMi #CoderFlow #AgenticCoding #EnterpriseAI #Futurization

There's a conversation that happens in IBM i shops all the time. A manager asks about improving the user interface. Somewhere in the discussion, someone says "we can't touch that code." They're right to be cautious. Decades of refined business logic live inside those RPG programs. Pricing calculations that took years to get right. Inventory rules that reflect hard-won operational wisdom. Batch processes that run without incident every night because the developer who wrote them understood exactly what the system needed. But here's what that caution is actually costing: slower onboarding, frustrated users, and a growing gap between what the business expects and what the team can deliver. Profound AppDev is built for exactly this situation. Modern browser-based interfaces built alongside existing RPG business logic. Not replacing it. Running alongside it, incrementally, at the program level. What's the "we can't touch that code" conversation costing your team right now? See what Profound AppDev makes possible for RPG teams: hubs.la/Q04gP9KY0 #IBMi #RPG #Futurization #ProfoundAppDev #IBMiDevelopment

🇺🇸 Honoring Our Heroes This Memorial Day 🇺🇸 Today, and every day, we pause to honor the brave people who served our country and remember those who gave their lives to protect our freedoms. From all of us at Profound Logic, thank you for your courage, sacrifice, and service. #MemorialDay #HonorAndRemember #ThankYouForYourService #ProfoundLogic

AI coding tools have a problem most vendors won't say out loud. They're designed for clean, modern code. They suggest. They draft. They leave testing, validation, and risk to the developer. What enterprises actually need is AI that executes. That runs inside your infrastructure. That automates testing and validation rather than handing those steps back to you. That delivers verified outcomes instead of drafts you still have to run. The difference: 🚫How AI works today: suggests code, operates outside production environments, leaves testing and risk to developers, delivers incremental gains. ✅What enterprises need: executes and validates code, runs inside enterprise infrastructure, automates testing and safeguards, enables transformational productivity. If you've been evaluating AI tools and finding them insufficient for complex, decades-old systems, that's not a coincidence. Most of them weren't built for your environment. CoderFlow was. Join us TOMORROW, May 26th to see it in action: hubs.la/Q04gPmJ80 #IBMi #CoderFlow #AgenticCoding #EnterpriseAI #Futurization

Competitive intelligence isn't a research project. It's a business function. The problem is that most teams treat it like the former. Someone finds the time, pulls together a summary, shares it. Then three months pass, and everything has changed. CoderFlow fixes this by removing the human bottleneck entirely. Autonomous agents monitor competitor activity, track industry shifts, and deliver structured findings on a defined schedule. Directly into your workflow. Without pulling anyone off the work that actually runs your business. For IBM i organizations with tight developer bandwidth, this isn't a nice-to-have. It's the difference between making decisions on current information and making them on whatever someone had time to research last quarter. Watch the full video to see how it works: hubs.la/Q04hh_7g0 #CoderFlow #AgenticCoding #IBMi #CompetitiveIntelligence #EnterpriseAI #ProfoundLogic

Think about the first six months of a junior developer's career on an IBM i team. They're not writing features. They're not closing tickets. They're learning which compiler flags matter, how the job log tells you what actually failed, how decades of business logic embedded in RPG programs connects to the broader application landscape. They're absorbing institutional knowledge that isn't written down anywhere, passed along by colleagues who learned it the same way. That model worked when there were enough experienced developers to sustain it. That assumption no longer holds. CoderFlow's Skills system encodes the operational knowledge of your IBM i environment directly into the agents that execute work. How to compile RPG. How to invoke the compiler with the right parameters. How to validate 5250 screen states. How to navigate your specific codebase, build tools, and runtime dependencies. An agent doesn't need six months to become productive in your environment. It arrives knowing it. Read the full breakdown: hubs.la/Q04gPmF80 #IBMi #AgenticCoding #CoderFlow #Futurization #IBMiDevelopment

Large enterprises are pumping billions into AI and stalling in production. The pattern is consistent. Pilots look promising, then scaling hits a wall. The comes data fragmentation, governance gaps and integration debt. AI stops being a force multiplier and becomes a complexity multiplier. According to IBM i CTO Steve Will, IBM i clients collect their data by default. The architecture covers what AI needs: data, protection, performance management, governance. It's predefined. It's ready. Our own Brian May put the business case bluntly: "Our small-to medium-sized businesses clients have the most potential value to gain because most of them are running with very small staffs, and technologies like this will allow them to scale without scaling headcount." The giants are still building their foundation. IBM i shops are already standing on theirs. Read the full analysis: hubs.la/Q04h6_100. #IBMi #Futurization #AgenticCoding #ITStrategy #EnterpriseAI

When you shift from writing code to orchestrating autonomous agents, your relationship with work changes. Agents are compiling, testing, validating, and fixing code while you're in meetings, on the commute, or away from your desk. That's the productivity gain. But it creates a new problem: tasks run for minutes or hours, and waiting until you happen to sit back down at your laptop is not a workable answer. One team's developer caught a flagged task mid-flight. His agents had been running a 47-program batch while he was in the air. He opened CoderFlow in his mobile browser, reviewed the outputs the judge had flagged, left notes for his team lead, and cleared everything before the snack cart came around. That's what supervisory development actually looks like. CoderFlow's fully responsive web interface works in any mobile browser. Full task dashboard, approval gates, activity feed, git history. No app to install. Install as a PWA for push notifications that work even when the browser is closed. See how mobile access works inside CoderFlow: hubs.la/Q04gPkws0 #IBMi #AgenticCoding #CoderFlow #Futurization #DeveloperProductivity