Profound Logic @ProfoundLogic

Here's what agentic coding on IBM i actually looks like. Not the pitch. The screen. A developer opens CoderFlow, types a requirement in plain language, and launches the task against four AI models at once. Then goes to a meeting. While they're gone, Claude, Gemini, Codex, and Grok each spin up in their own isolated container. They read the source, make the change, compile on actual IBM i, run it through the built-in 5250 emulator, and fix any errors. Judge agents evaluate all four outputs and pick a winner, citing exactly why one handled SQL error handling and a field truncation edge case better than the others. The developer comes back to a ranked result with a full git diff ready for review. Nothing committed. Nothing left the container. They verify in the emulator, approve, and promote. Real RPG program. Real IBM i compiler. Real result. See three full IBM i task walkthroughs: hubs.la/Q04lQYjX0 #IBMi #AgenticCoding #CoderFlow #Futurization #IBMiDevelopment

In March, an AI agent wiped 1.9 million rows from a production database. Backups included. Every command it ran was technically correct. It just had no idea it was operating on a live system, because that knowledge existed only in the engineer's head. No governance layer. No approval gate. Nothing between the agent and production. This is the part of the agentic coding conversation that doesn't get enough airtime. Business users will automate their own processes, whether IT is involved or not. The tools exist. The pressure to reduce manual effort is real. The question is whether IT is in the loop when it happens, or finds out six months later that a critical workflow has been running through an ungoverned AI tool nobody approved. CoderFlow keeps automation inside IT's control from the start. Isolated containers. Scoped access. Every action logged. Approval gates before anything touches production. IT builds it. IT controls it. That's the only model that doesn't create a bigger problem than it solves. See how IT-controlled agent automation works on IBM i: hubs.la/Q04kLW8P0 #IBMi #AgenticCoding #CoderFlow #EnterpriseAI #CyberSecurity

Most IBM i assessments work like this....a vendor shows up with their preferred solution and builds a discovery process around justifying it. You walk out with a proposal for whatever they are best at selling. Profound Discovery is structured differently. The recommendation it produces may be the most lucrative option for us. It may not be. We give you the same answer either way. We've executed all three Futurization Paths: staying on IBM i, hybrid transformation, and full platform migration. The recommendation is not constrained by what we are set up to sell. If you want a straight answer on which path actually fits your situation, that is the conversation worth having. Schedule a Futurization assessment: hubs.la/Q04lQShX0 #IBMi #Futurization #ITStrategy #CIO #EnterpriseAI

Most staff augmentation adds bodies. Ours adds a multiplier. One developer with the right setup does what used to take three or four. That changes the math on what augmentation is actually worth. Other firms rent you resources. We deliver outcomes. Learn how Premium Staff Augmentation works: hubs.la/Q04lRR9X0 #IBMi #StaffAugmentation #AgenticCoding #CoderFlow #Futurization

Nearly 80% of companies have deployed generative AI tools. Roughly the same percentage report no material impact on earnings. That is not a coincidence. It is an architecture problem. Copilots help developers write code faster. But the developer still plans the work, compiles, tests, debugs, iterates, and judges the output. Productivity improves at the margin. The bottleneck moves slightly. Earnings do not. Orchestration works differently. CoderFlow replaces the entire human-driven execution loop: planning, parallel execution across multiple agents, automated judging, and iterative refinement. The developer reviews a compiled, tested, verified result. Their role shifts from executing to directing. It's not a faster developer. That is a different model for how development gets done. The organizations moving past copilots are the ones starting to see the numbers change. Read how: hubs.la/Q04lRNKP0 #IBMi #AgenticCoding #CoderFlow #EnterpriseAI #Futurization

The knowledge that runs your most critical IBM i applications was probably never written down. Not because anyone was negligent. Because it was never necessary. The developer who built the pricing engine in 1994 was still there in 2014. The knowledge lived where it always had, in the code and in one person's head. That model is breaking down fast. When a veteran RPG developer retires, what leaves with them is thirty years of knowing which programs you cannot touch, which dependencies were never documented, which edge cases exist only because something broke once and someone fixed it quietly. None of that is in a wiki. In most IBM i shops, it barely exists in comments. Most organizations respond by putting documentation on the roadmap. It gets deprioritized every quarter. Something more urgent always comes first. CoderFlow treats it as an engineering task. Agents analyze your application portfolio, compile programs, query databases, and generate technical and user-facing documentation at a scale no team could match manually. Your developers review and build on the output. Organizational knowledge gets formalized before it walks out the door. The window to do this while experienced developers can still validate what gets captured is narrowing every year. How is your organization handling the documentation gap right now? Maybe we can help. 😉 #IBMi #Futurization #CoderFlow #AgenticCoding #TechTalent

A bank was waiting 4 to 8 weeks every time it needed a service change. Paying premium rates to its core banking vendor for the privilege. Watching competitors ship new products while it sat in a queue. After implementing Profound API: 8 weeks to 45 minutes. 2,000 transactions per second. Revenue up 23%. Full independence from the vendor. The IBM i infrastructure was capable of all of it the entire time. The only thing missing was a way to expose what was inside it. That's the API story most IBM i organizations haven't gotten to yet. Decades of refined business logic sitting behind green screens and batch processes, inaccessible to the cloud services, AI platforms, and partner systems the rest of the business is trying to connect. Profound API turns Db2 data, RPG programs, and ILE procedures into RESTful APIs, without months of custom development. Visual, low-code, and live in hours. Your IBM i isn't the bottleneck. Inaccessibility is. See how Profound API works: hubs.la/Q04kWQZk0 #IBMi #ProfoundAPI #Futurization #APIEconomy #EnterpriseIntegration

Your best IBM i developer, the one who actually understands the custom pricing engine, gave notice last week. The contractors who can start immediately don't know RPG. The ones who know RPG need six months to understand your systems. Neither option gets you through the next quarter intact. This is the scenario where premium augmentation earns its place. IBM i professionals who start contributing in days, not months. Who understand business logic, not just syntax. Who can work alongside your team on the cloud integration while simultaneously protecting the knowledge that's walking out the door. The difference isn't the resume. It's whether the person you bring in transfers capability or just fills a seat while the clock runs. See how strategic IBM i augmentation handles this scenario: hubs.la/Q04kWSCc0 #IBMi #StaffAugmentation #Futurization #RPG #TechTalent

Van-Kam Freightways has run on IBM i for 35 years. And they're not replacing it. They're building on it. 📱 Android tablets on forklifts are replacing paper at cross-dock facilities. 📝 A custom smartphone app for drivers is eliminating paper manifests and hard-copy delivery receipts. 🌳 E-signatures drastically reduce paper across the operation. 🖥️ And a fully digital real-time equipment tracking system replacing the wall-mounted whiteboards that were never quite accurate. None of it touched the core IBM i systems. All of it made daily operations meaningfully better. That's what a phased, coexistent futurization strategy actually looks like in practice, not a transformation announcement, just a series of targeted improvements that compound over time. Read the Van-Kam case study: hubs.la/Q04kWT_Y0 #IBMi #Futurization #ProfoundAppDev #Logistics #CaseStudy

Screen development on IBM i used to mean a slow loop. Build in the designer. Compile. Check. Adjust. Recompile. Repeat. For every layout change, every field tweak, every business-requested update to an interface. With Agentic Display Files, the loop changes. You describe what the screen should do, in plain language, with business context. Then CoderFlow generates the HTML, CSS, and JavaScript. If the first pass needs adjusting, you describe the change and the agent revises its own output directly. No round-trip to a visual designer. No recompile cycle for a layout fix. And because the underlying files are standard web formats, any developer on your team can read and iterate on what the agent produced. No proprietary tooling knowledge required. The RPG stays exactly where it is. What changes is how fast the interface around it gets built and refined. See Agentic Display Files in action: hubs.la/Q04kW-d60 #IBMi #AgenticCoding #CoderFlow #ProfoundUI #Futurization

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

Want to learn more? Check it out: profoundlogic.com/futurization/

The question most IBM i transformation projects start with is, how do we make this less of a liability? It's the wrong question, and it produces predictable results. You close some technical debt. You refresh an interface or two. The platform stabilizes. A few years later, the same conversation starts again. Futurization starts from a different place entirely. Not "how do we reduce the liability" but "how do we turn what we have into a genuine competitive asset." That's a different investment thesis, and it leads somewhere different. The IBM i organizations we've seen come out ahead weren't the ones that managed their way to a smaller liability. They were the ones that figured out how to make IBM i the foundation for what came next: AI readiness, modern API architecture, application transformation, and a development environment their broader team could actually engage with. The platform supports all of it. The question is whether your roadmap is asking for it. What question is your organization starting from right now? Genuinely curious — drop it in the comments. #IBMi #Futurization #ITStrategy #EnterpriseAI #CIO

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