Profound Logic Software

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Profound Logic Software

If your technology can’t bend, it will break. We have offices in Ohio, California, and Mississippi, in addition to partners located around the world.

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

true IBM i experts, knowledgeable in modern languages that include RPG, PHP, HTML5, and Node.js. Learn more at www.profoundlogic.com or contact us at 877-224-7768.

03/09/2026

Hey everyone, meet Natalie Cherwin, our new Technical Project Manager! 👋

Natalie brings 7+ years of project management experience in web development and IT, and a gift for connecting the dots. She thrives on linking teams, workflows, and technologies into solutions that actually move business forward.

Natalie actually came to Profound Logic as a client first, and the experience made the decision to join an easy one: "I was familiar with Profound Logic as a client and always had excellent interactions with their technical team. Profound Logic has always been leading the way with their products and AI integrations for IBM i businesses, but honestly, it was the positive, solution-driven team collaboration that sealed the deal for me."

Outside of work, Natalie is just as busy. She sings in multiple choirs, plays oboe, and spends her free time biking, hiking, and hitting up local festivals. At home, she's keeping up with two kids (ages 10 and 11) and three guinea pigs.

We're glad to have her connecting the dots here at Profound Logic. Welcome to the team, Natalie!

02/09/2026

Green screens are usually framed as an internal problem. A user experience gap. Something to address in the next budget cycle. But they are also a signal to everyone outside your organization who interacts with your systems.

Candidates evaluate work environments before accepting offers. More than half of office workers say negative experiences with workplace technology affect their mood and morale.

Customers who interact with IBM i-backed portals or workflows bring expectations shaped by consumer software. When the gap between that reference point and your interface is wide, it registers. Partners assessing your operational maturity before committing to an integration see the same thing.

In the 2026 IBM i Marketplace Survey, 62% of respondents cited application transformation as a top IT concern, up from 57% the year before. That number is not being driven by developers. It is being driven by boards, customers, and recruiting teams asking questions the internal team has to answer.

The technology to address it exists, and the business case is clearer than it has ever been. Read the full breakdown: https://hubs.la/Q04vxxgF0

01/09/2026

When CoderFlow runs the same task across multiple AI models, something has to decide which result is actually good. That's where the judge agent comes in. 👩‍⚖️

It compares completed implementations on compilation, test results, code quality, and alignment with your architectural standards. Then it explains why one outperformed the others, strengths and weaknesses included. A developer reviewing the result can see the reasoning, not just the winner.

The judge also identifies where the winning implementation could still improve, then coordinates additional agent cycles targeting exactly those gaps. One iterative loop, not a single vote.

Read how judge agents work: https://hubs.la/Q04vxQvl0

31/08/2026

The AI coding model you picked six months ago probably isn't your best option anymore. That's the problem most AI coding platforms don't want to talk about. Pick a vendor, and you're stuck rebuilding your workflow every time a better model comes out. CoderFlow was built around a different bet: don't marry one model; build the platform to outlast all of them.

Here's how it works:
→ Run Claude, Codex, Gemini, and other models side by side, in the same environment, on your own repositories
→ Agents work in isolated containers, in parallel, so your team is never queued behind a single assistant
→ Every change comes back as a reviewable diff. Nothing merges without a person approving it
→ Access is governed by users, teams, and roles, scoped to the environments they're entitled to
→ Switch your default agent per project without touching a line of configuration

For IBM i teams especially, that flexibility matters more than any single model's benchmark score. The stack you're futurizing today needs to still make sense in a year, not just this quarter.

Read more: https://hubs.la/Q04vxT8F0

28/08/2026

There's a category of work in most IBM i organizations that lives in a permanent gray zone. Too operational for the development team to prioritize. A batch job that fails needs investigation, diagnosis, and a decision, but it's not a feature request. A department head needs data extracted from the system for a vendor meeting. Pricing updates need to be entered against customer records. Too technical for non-technical staff to handle without developer involvement.

So a developer gets pulled off whatever they were working on to do something that didn't require their expertise. Or the operational task waits. Either way, someone loses.

CoderFlow agents can handle this category of work through the same application screens that staff use. They apply the same business rules, capture error messages, and produce a completion report. The agent navigates the IBM i screens, does the operational work, and logs what it did. The developer wasn't needed for the ex*****on. Their judgment is available for the tasks that actually need it.

IT defines what the agent can access. IT sets the authority boundaries. The agent operates within them.
The development team gets their time back. The business gets the operational responsiveness it's been asking for.

Read how IT-controlled agent automation works on IBM i: https://hubs.la/Q04sn_Fk0

27/08/2026

When a previous transformation left major holes in their operations, there was a temptation to call it done, make it work, and move on. This UK textile services company did the opposite and found us.

Our team met their six-month deadline across 16 plants, working alongside their two in-house RPG developers with zero operational disruption.

With Profound AppDev as the foundation, they're now exploring expanded mobile capabilities for field operations. IoT sensor integration for real-time equipment monitoring. Customer self-service portals built on futurized applications. A continued, gradual migration of legacy code at their own pace.

The thing about doing futurization well the first time is that it creates room to pursue what comes next strategically, rather than reactively. They're not scrambling to keep up. They're deciding where to go.

That's what breathing room from a good foundation looks like in practice. Read the full case study: https://hubs.la/Q04sp43v0

26/08/2026

Regression testing at scale is where most IBM i transformation initiatives quietly lose months. You've made the change. The code compiled. But confirming that nothing else in the system broke requires running through the same scenarios your team has always run through, manually, one at a time.

Our Automated Testing records interactions against the original application and replays them against the refactored version to detect any discrepancies. Purpose-built for large-scale code refactoring. 4 to 5 times faster than manual regression testing at scale.

That's not a benchmark. It's a result from live transformation projects.

And it's a capability most IBM i transformation partners simply don't have. Generic tools can convert code. Getting regression coverage across a complex, decades-old portfolio at the pace Agentic Futurization requires is a different problem, and it's one that took years to build a real answer to.

The transformation timeline compresses. The confidence in the output holds.

See how Agentic Futurization works: https://hubs.la/Q04sn-BF0

25/08/2026

There's a version of store management that runs on instinct and experience. And a version that runs on live data.

District and Area Managers at our major food retail customer used to gain store-level visibility by requesting reports through IT. Requests that took time. Decisions made on information that was already old by the time it arrived.

Profound AppDev gave them role-based dashboards that provide real-time access to performance metrics across all locations. The shift wasn't just faster reporting. It was a different management posture entirely, from reactive to proactive, from responding to problems to catching them before they compound.

That's the futurization story that doesn't always get told. Not that the interface changed. That the business behavior changed, because the information finally showed up where decisions get made.

Read the full case study: https://hubs.la/Q04sp5Db0

24/08/2026

Here is something worth saying plainly to the executives evaluating IBM i transformation options: 73% of what runs on IBM i is homegrown code. Custom-built systems shaped by thousands of small business decisions over decades.

That number matters because it undermines the packaged replacement argument. If nearly three-quarters of your portfolio is custom logic that reflects your specific pricing rules, your allocation workflows, your hard-won operational knowledge, then buying a packaged platform doesn't solve your problem. It replaces the infrastructure and leaves the logic problem untouched.

The business case for futurizing IBM i rather than replacing it isn't primarily about platform loyalty. It's about where the value actually lives. Your competitive advantage isn't the hardware or the operating system. It's the accumulated logic that runs on top of it.

A replacement strategy that discards that logic to gain platform flexibility is trading the asset for the container. A futurization strategy preserves the asset and evolves the container around it.

For organizations where the C-suite conversation keeps defaulting to "why don't we just move to something modern," this is the reframe worth introducing before the evaluation begins.

Is this a conversation happening in your organization right now? Curious how others are framing it at the leadership level.

21/08/2026

Here's a version of the IBM i knowledge problem nobody talks about enough. 👇

The documentation your organization needs to survive the retirement wave isn't going to get written during a documentation project. Documentation projects get deprioritized. There's always something more urgent. And the developers who carry the knowledge are already stretched thin.

What actually works is making documentation a byproduct of the work that's already happening.

CoderFlow agents analyze RPG and COBOL programs, map dependencies across programs and databases, and generate both technical documentation and user-facing guides as part of the same task queue that handles development work.

A developer submits a documentation task the same way they submit a bug fix. The agent maps the program's structure, surfaces the business rules embedded in the code, traces the dependency tree, and produces a document the developer reviews and refines.

The institutional knowledge that currently lives only in senior developers' heads starts getting captured as a side effect of getting other work done. Not as a separate initiative. Not on a future roadmap. Now, while the people who can validate it are still available.

That window matters more than most organizations realize until it closes. Read the full breakdown: https://hubs.la/Q04sn-wT0

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Monday	09:00 - 17:00
Tuesday	09:00 - 17:00
Wednesday	09:00 - 17:00
Thursday	09:00 - 17:00
Friday	09:00 - 17:00

Telephone

+19374397925

Website

http://www.profoundlogic.com/

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