Profound Logic

Most AI coding tools hand you a draft. CoderFlow hands you a completed, verified, ready-to-commit outcome. That's not a feature distinction. It's an architectural one. The conversation about AI at work has moved past writing code faster. The real shift is who does the work, how it gets done, and what your team's actual capacity looks like when autonomous agents are part of the workflow. On May 26th, our Futurization Specialist, Gary Jones, will be showing you exactly how this works: autonomous agents executing the full build-test-fix-retest loop, sprint workflows restructured around agentic execution, and developers shifting from writing and debugging to reviewing verified outcomes. If you've been evaluating AI tools and finding them insufficient for complex, real-world systems, this session answers that question directly. Register NOW for our webinar: hubs.la/Q04gPsXS0 #IBMi #AgenticCoding #CoderFlow #Futurization #DigitalLabor

Most bug reports create developer interruptions. A tester finds something broken ➡️ files a ticket ➡️ schedules a conversation ➡️ waits. Then a developer stops what they're doing ➡️ tries to reproduce the issue ➡️ starts debugging. That's the default loop. And it costs your team more than anyone tracks. CoderFlow QA Mode breaks that loop. One click captures the broken state. The tester annotates what's wrong. One sentence explains what should happen instead. That's the entire handoff. Behind the scenes, an agent finds the root cause, writes the fix, runs the build, and tests the result, before it ever reaches a developer. The developer's job? Review completed work. Judgement, not execution. And it works on IBM i, 5250 screens, rich display data, and the systems that actually run your business. Watch how 👇 hubs.la/Q04gDsvl0 #CoderFlow #IBMi #AgenticCoding #QA #DeveloperProductivity #Futurization

Something is shifting in how engineering teams structure their work. Sprints that used to be built around who could write the code are being rebuilt around who reviews the output. Backlog items that sat untouched for weeks because no one had capacity are getting picked up by autonomous agents and returned as verified, ready-to-commit work. The teams making this shift aren't replacing their engineers. They're changing what those engineers spend their time on. We're covering exactly how this plays out in practice in our webinar on Tuesday, May 26th, at 10 AM PST. You won't want to miss this. Register here 👉 hubs.la/Q04gD6NC0 #AgenticCoding #CoderFlow #EnterpriseEngineering #AIAtWork

When a global supply chain company started evaluating agentic coding, their first question wasn't "can it help us move faster?" It was "can it help us without creating new security exposure?" That's the environment CoderFlow was built for. Deployed entirely inside their infrastructure. Cloud models receive only the minimal context needed to do the work — no full repos, no credentials, no bulk data leaving their environment. Every autonomous action is auditable. Role-based access, approval gates, full task history — built in, not bolted on. Their developers got the productivity gains. Their security team got the governance they needed to say yes. If security and auditability are what's standing between your organization and real AI adoption — that's exactly the conversation we built CoderFlow for. Learn what deployment looks like inside your environment → hubs.la/Q04gpCzR0

Futurization and modernization aren't two words for the same thing. 🚫 Modernization gives you a refreshed interface and a recompiled codebase. The technical debt is still there. The fragile integrations are still there. Your senior developers are still retiring and taking decades of institutional knowledge with them. ✅ Futurization starts by asking what is actually costing the organization the most. Fragile integrations? Siloed systems? High-risk debt that nobody wants to touch? You fix those first. Then you build on the foundation that remains. Your IBM i system isn't the problem. It's one of the most reliable, performant platforms in enterprise computing. The question was never whether it deserves investment. The question is whether the investment strategy you've been applying is the right one. Most organizations are spending budget on modernization and wondering why the results keep falling short. What's your honest read on your current IBM i investment strategy? Is it building toward something, or buying time? #IBMi #Futurization #ITStrategy #EnterpriseIT #IBMiDevelopment

If your team is spending time debugging AI output, reviewing half-finished code, or re-prompting to get something usable, that's not an AI advantage. That's just a different kind of manual work. The promise of AI in software development wasn't "faster drafting." It was freeing your engineers to work on higher-value problems. That only happens when the AI can close the loop on its own: compile, test, fix, verify, deliver. That's what CoderFlow is built to do. And on May 26th, we're showing you how. Register here: hubs.la/Q04fG8_v0 #AgenticCoding #CoderFlow #EnterpriseEngineering #AIAtWork

Your agents don't wait for you to sit back down at your desk. Neither should your workflow. CoderFlow's fully responsive interface keeps development teams connected to their agentic workflows from anywhere. No separate mobile app. No watered-down experience. Just the full CoderFlow platform, optimized for whatever screen you're on. Review flagged tasks. Approve completed work. Monitor your IBM i environments. All of it from your phone, whether you're on a commute, on-call, or mid-flight to a customer visit. 👉 Check it out: hubs.la/Q04fGjj70 #IBMi #CoderFlow #Futurization #AgenticCoding

Point a generic AI agent at your IBM i codebase and here's what happens. It doesn't know how to compile RPG. It doesn't know how to invoke the IBM i compiler with your flags against your environment. It doesn't know how to validate a Rich Display File or execute a 5250 transaction. These aren't edge cases in an IBM i shop. They're standard operating conditions. So the agent improvises. Or it fails. Or it asks your developers to scaffold every single operation, which wipes out the productivity gain before it arrives. CoderFlow's Skills system solves this at the foundation. Skills combine two things: the instructions for how to accomplish a specific operation, and the actual capabilities needed to execute it. Compiling RPG on IBM i via SSH. Querying DB2 schemas. Validating 5250 screens. Starting and stopping services. These ship out of the box. Then there are your custom Skills. Every IBM i shop has institutional knowledge that lives outside documentation. Which programs are safe to modify in what order. What a successful compile looks like in your specific environment. How a particular batch job needs to be tested before it goes anywhere near production. That knowledge gets encoded once. Then every agent that runs carries it. The gap between AI that sounds promising in a demo and AI that actually delivers in production is not raw model capability. It's whether the agent knows how to operate precisely inside your environment. That's what Skills are for: hubs.la/Q04d21MC0 #IBMi #AgenticCoding #CoderFlow #EnterpriseAI #RPG

Your IBM i system has been running mission-critical operations for decades without flinching. It processes payroll. It manages inventory. It runs the logic your competitors would love to reverse-engineer. It has never been the problem. The problem is that everything around it has accelerated and the transformation approaches your team keeps evaluating were not built for what you're actually trying to do. Rip and replace threatens business continuity and requires upfront investment with uncertain returns. One failed deployment can cripple operations for weeks. Worse, off-the-shelf replacements cannot replicate the custom business rules you've refined over decades. That logic is the thing that actually differentiates you. There is a third option that most organizations don't hear about until they've already wasted budget on the other two. Futurize from strength. Keep what works. Eliminate what's costing you. Build the capabilities your business actually needs. Let legacy and futurized components run side-by-side while the transition happens. Bring in agentic coding so the platform can sustain development momentum post-transformation without a proportional headcount increase. The cost of inaction isn't standing still. It's falling behind while the maintenance bill keeps growing. Your systems don't need replacing. They need a future 👉 hubs.la/Q04d1TJT0 #IBMi #Futurization #LegacyApplications #EnterpriseIT #ITStrategy

Most AI coding tools hand you a draft. CoderFlow hands you a completed, verified, ready-to-commit outcome. On May 26th at 10 AM PST, we're going to show exactly how that works. Join our very own Gary Jones for a walkthrough of how CoderFlow autonomously executes the full engineering workflow: compile, test, fix, retest, and deliver, without a developer in the loop at every step. If you've been exploring AI tools and wondering whether there's something more capable for complex, real-world systems, this session will answer that question directly. Register here: hubs.la/Q04fxlH-0 #CoderFlow #AgenticCoding #IBMi #Futurization

Your junior IBM i developer just hit their first compile error. They'll spend the next 20 minutes finding someone who can translate the error code. Then they'll fix it, compile again, and hit a different one. Six months from now, they'll be fast. They'll be good. And they'll have consumed more senior developer time than you can afford to give. CoderFlow doesn't onboard. It loads. It arrives in your environment already knowing how to compile RPG, query your DB2 schema, validate 5250 screens, and interpret your job log. Not because it was trained on generic IBM i documentation. Because it was built with the operational knowledge of your specific environment encoded into it from day one. The senior developer who spent years building that pattern recognition doesn't have to transfer it manually anymore. It gets encoded once into Skills. Then it runs in every agent, on every task, from the first minute.That's not a productivity improvement. That's a structural shift in how IBM i development operates. See how it works: hubs.la/Q04d350w0 #AgenticCoding #CoderFlow #IBMiDevelopment #Futurization

Most AI coding tools give you a starting point. CoderFlow gives you a finished result. Run Claude, Codex, Bob, and Gemini in parallel on the same task, each agent working in its own isolated container, executing the full build-test-fix loop on its own. No suggestions. No drafts. Compiled, tested code. Then, a dedicated judge agent evaluates every variant across correctness, code quality, and completeness, and surfaces the winner with a full explanation. The developer's job? Review and approve. That's not prompting. That's a fundamentally different workflow. 👇 Watch now: hubs.la/Q04f3sD60 #CoderFlow #IBMi #ProfoundLogic #Futurization

@COMMONug's POWERUp 2026 is a wrap. What a week. 🔥 The IBM i community doesn't do half-measures. The conversations at booth 601 were sharp, the questions were harder than most, and that's exactly how it should be. To everyone who stopped by, attended our sessions, or just said hello in the hallway: thank you. This community is why the work matters. For everyone we didn't get to, the conversation doesn't end in New Orleans. ⚜️ If you want to dig into futurization strategy, see CoderFlow in your environment, or just talk through what your IBM i roadmap actually needs right now, we're one message away: hubs.la/Q04f1ZV00 #POWERUp2026 #IBMi #COMMON #Futurization #CoderFlow

Agentic coding changes your relationship with work. You're no longer the one executing the loop. Agents are compiling, testing, validating, and fixing code while you're on a plane, in back-to-back meetings, or done for the day. That's the gain. Here's the problem. When an agent completes a task that's blocking a release, waiting until you happen to sit back down at your laptop is not a workable answer. CoderFlow runs fully responsive in any mobile browser. No app. No separate product. Open your server URL on your phone and you get the complete platform: task dashboard, activity feed, flagged reviews, git history, environment controls. Optimized for the screen you're actually holding. One of our users reviewed 47 flagged agent tasks, left comments, tagged his team lead, and made approval calls on all of them before his mid-flight snack. The supervisory work that CoderFlow enables doesn't require an IDE. It requires judgment. Judgment travels. See what the mobile workflow looks like in practice: hubs.la/Q04d3C460 #AgenticCoding #IBMi #CoderFlow #DeveloperProductivity #EnterpriseAI

What if your IBM i team stopped writing code and started reviewing finished work? That's not a hypothetical. That's CoderFlow. This isn't just another AI coding assistant. This is fully autonomous development, built for enterprise complexity, with full governance baked in. From the team that's been futurizing IBM i for over 25 years. Something big is coming to CoderFlow. June 1. 👀 #CoderFlow #IBMi #ProfoundLogic #Futurization

HEY POWERUp 🗣️ Today at 3:15pm in Galerie 1. Don't miss it. ⚜️ Our very own Gary Jones takes the stage at @COMMONug's POWERUp 2026 this afternoon for a session that cuts straight to the question every IBM i team is sitting with: Is there something more capable than the AI tools we've been trying? This isn't a pitch. It's a live breakdown of how CoderFlow executes the full engineering cycle on its own — compiling, testing, fixing failures, iterating until acceptance criteria are met, and delivering commit-ready outcomes while your developers are doing something else entirely. Not faster suggestions. Finished work. You'll leave with a real picture of what autonomous agents look like inside isolated containers, how teams are restructuring sprints around this, and whether CoderFlow is the right fit for your systems and goals. If you're ready to stop co-piloting and start automating, this is your session. Add it now 👇 Beyond the Copilot: How Agentic Coding Automates Your Engineering Workflow: hubs.la/Q04bCJPt0 #IBMi #POWERUp2026 #COMMON #AgenticCoding #CoderFlow

We made it to the Big Easy, and Expo Booth 601 is officially open. ⚜️🌶️ If you want to see what agentic coding actually looks like running inside an IBM i environment, not a sanitized demo, not a slide deck, come to Booth 601. We'll show you the real thing. Bring your hardest questions about futurization, CoderFlow, and what it actually takes to get autonomous agents working safely on mission-critical RPG and COBOL systems. We live in these environments. We'll have answers. We're here all week. Come find us. 🎷 #POWERUp2026 #IBMi #COMMON #CoderFlow #Futurization

Laissez les bons temps rouler. 🎷 We're heading to New Orleans for @COMMONug's POWERUp 2026, April 27–30, and we're not just there to listen to the music. Come find us at Expo Booth 601 for real talk on futurization strategy, live CoderFlow demos, and the hard questions about agentic coding on IBM i. Answered by people who actually live inside these environments. No tourist traps. Just good people, good conversations, and probably some beignet powder on somebody's shirt. See you on Bourbon Street... we mean, Expo Booth 601: hubs.la/Q04byzzg0. #POWERUp2026 #COMMON #IBMi #Futurization #CoderFlow

80% of companies that deployed generative AI tools report no material impact on earnings. That's not a capability problem. That's a category problem. Copilots accelerate individual developers. One developer, one task, faster typing. The serial execution loop stays intact. The bottleneck doesn't move. Orchestrated execution is a different category entirely. Agents compile, test, validate, and fix autonomously inside isolated containers. Multiple agents run in parallel against different backlog items simultaneously. What a developer approves isn't a suggestion — it's a completed, tested, commit-ready result. Research puts productivity increases from orchestrated agent systems at 30 to 50%. The agentic AI market is on track from $7.84 billion in 2025 to $52.62 billion by 2030. The organizations that close this gap first won't just move faster. They'll operate at a fundamentally different development velocity than the ones still deploying copilots and calling it transformation. For IBM i teams, the urgency is compounding. RPG expertise is retiring. Technical debt accumulates faster than sequential development can address it. The window where agentic coding is still a differentiator is measured in months, not years. The full case for orchestrated execution on enterprise and IBM i systems, including the security architecture, the business case, and the adoption path: hubs.la/Q04byFTL0 #IBMi #AgenticAI #CoderFlow #EnterpriseAI #Futurization

Your copilot doesn't finish the work. It waits for you to. That's the gap our expert Futurization Strategist, Gary Jones, is addressing in his can't-miss session at Common's POWERUp 2026. On April 28 in New Orleans, Gary is walking IBM i teams through exactly what separates AI assistance from AI automation. Not theory. A live breakdown of how CoderFlow runs the full engineering workflow autonomously — compiling, testing, fixing failures, and delivering verified, commit-ready outcomes while your developers are doing something else. If you've been circling the agentic AI conversation and wondering whether any of it actually applies to complex, real-world IBM i systems, this is the room to be in. Add Gary's session to your schedule: hubs.la/Q04byG6q0 #IBMi #POWERUp2026 #COMMON #AgenticCoding #CoderFlow