Agentic Coding Implementation Services for Enterprise Environments
CoderFlow is the orchestration platform purpose-built for agentic coding on IBM i. It delivers finished, ready-to-commit work, not suggestions your developers have to debug. Profound Logic configures it inside your environment, secure, governed and production-ready.
The Problem
AI coding assistants generate suggestions. Your developers still drive every compile, test, and fix cycle—which means your best engineers are babysitting AI output instead of solving real problems. Meanwhile, experienced IBM i developers are retiring, backlogs are growing, and generic AI tools weren’t built for your environment. The productivity gains everyone is talking about require more than a tool. They require implementation.
Your Options
Do Nothing
A valid short-term choice, but the productivity gap between organizations running platforms like CoderFlow and those that haven’t yet implemented is widening fast.
DIY Implementation
Maximum flexibility, but setup complexity for legacy and IBM i environments is routinely underestimated by months, and the maintenance burden is ongoing.
Generic AI Platform
Works well for modern stacks. Poor fit for IBM i, RPG, multi-repo architectures, and strict on-premise security requirements.
Partnered Implementation with Profound Logic
Your environment is configured, validated, and production-ready faster, with IBM i-native tooling, enterprise governance, and ongoing optimization support built in.
The Profound Logic Approach
We configure a complete, governed agentic coding environment purpose-built for your systems, not a generic platform adapted after the fact.
Why Profound Logic
We’ve spent decades inside IBM i environments. CoderFlow, our agentic orchestration platform, delivers finished, ready-to-commit work, not suggestions. Execution stays inside your network. Only the minimal context needed for AI reasoning is sent to AI models.
What's included
Turnkey on-premise or private cloud deployment
Native IBM i integration: SSH, SQL, 5250, Rich Display, multi-library support
Automated testing pipelines and governance frameworks so agents self-verify results
Reusable templates for RPG conversion, documentation, refactoring, and bug triage
Developer enablement so your team shifts from writing code to reviewing verified outcomes
Ongoing optimization, agent tuning, and framework updates as AI evolves
How the Engagement Works
The Starter Engagement is a paid, multi-week engagement scoped to your project and the size and condition of your system. It runs in two phases.
Phase 1: Deliver a real project.
We stand up CoderFlow inside your environment, migrate the relevant code into Git, train your team, and complete a meaningful project that proves value. By the end of Phase 1, CoderFlow is part of your core engineering infrastructure: containers, Git, pipelines, and tests.
Phase 2: Get the rest of your system ready.
We extend that foundation across the rest of your system, expanding Git migration and test coverage to more of your codebase. We also resolve change management, whether that means integrating your existing tooling, migrating off it, or setting you up CI/CD native for the first time.
Frequently Asked Questions
Get answers to common questions about our services
How quickly will we see results?
Phase 1 of the Starter Engagement is built around proving value fast: we scope a real project, stand up CoderFlow, and deliver a completed, production-grade result before we ever discuss expanding scope.
How does this fit our IBM i security requirements?
Everything runs on-premise or in your private cloud. Execution, compilation, and Git operations stay inside your network. Models receive only minimal code snippets. No full repositories, credentials, or bulk data leave your environment.
How do we measure ROI?
We establish baseline metrics during discovery and track agent throughput against them. The primary gain is task completion capacity. Organizations typically target a 5 to 10x productivity improvement on high-volume work like conversion, documentation, and testing.
What changes for our developers?
Developers shift from writing and debugging code to defining objectives and reviewing validated outcomes through familiar Git and CI/CD workflows. We provide structured enablement to support the transition.
Ready to Move from AI Assistance to Agentic Execution?
Let’s talk about implementing CoderFlow in your environment.