Profound Coder: Agentic Coding for Legacy Systems
Achieve 5–10× development productivity inside complex, legacy systems – reliably across real enterprise environments.
Built for enterprise systems
Enables autonomous AI development in complex, decades-old environments where most AI coding tools struggle.
Turning potential productivity gains into repeatable outcomes that can run in production.
The Problem with AI Coding Tools in the Enterprise
Most AI coding tools stop at suggestions. They:
Assist inside an IDE—but don’t complete work
Rely on developers to drive every compile, test, and debug loop
Break down in multi-repo, on-prem, and legacy environments
Lack enterprise-grade governance and security
Designed for greenfield and modern stacks. Not decades of accumulated logic
For real systems, incremental gains aren’t enough.
The Profound Coder Difference
Profound Coder runs autonomous agents that finish engineering work inside your infrastructure
Define and Enforce “Working Code”
Agents evaluate their own output using concrete signals—successful builds, tests, and expected runtime behavior—not just generated text.
Execute Full Build–Test–Fix Loops Until Validation Succeeds
Compile, test, detect failure, retry, and converge autonomously—reducing dependence on constant human prompting.
Operate Across Multiple Repositories and Systems
Designed for real enterprise environments, not single-repo, greenfield projects.
Explore and Compare Solutions in Parallel
Multiple agents can propose alternatives, with automated evaluation explaining tradeoffs and selecting validated results.
Run Autonomously, Escalate Only When Judgment is Required
Humans review verified outcomes in controlled environments instead of driving every step of the AI.
Developers orchestrate objectives and approve results—shifting their role from writing and debugging code to reviewing ready-to-commit, validated outcomes.
How Profound Coder Delivers 5–10× Gains
Finished Work, Not Suggestions: Coding assistants generate drafts, Profound Coder delivers verified results ready to commit.
Runs Inside Your Environment
On-Premise or Private Cloud Deployment
All Execution Stays Local
Only Minimal Context is Sent to Cloud LLMs
No Full Repos, Credentials, or Data Leave Your Network
Parallel, Multi-Model Execution
Run Multiple Models at Once
Automatically Compare Outputs
Select the Best Validated Result
Autonomous, With Governance
Full build → Test → Fix → Retest Cycles
Developer Approval as a Control Point
Full Logs, Audit Trails, and Visibility
Built for Enterprise & IBM i
Multi-Repository Orchestration
IBM i, RPG, COBOL, 5250, Rich Display Files
Modern Stacks: Node.js, Java, Python, .NET
Git, JIRA, CI/CD Integration
What You Get:
Containerized agentic execution platform
Parallel agent orchestration with model comparison
IBM i–AI tools for building, executing and testing native
Templates for conversion, refactoring, and documentation
Automated UI and regression testing
CI/CD and Git-based approval workflows
All delivered as a persistent, governed enterprise platform—not an ephemeral browser session.
Security and Governance
Enterprise-Grade Security Without Compromise
Runs Inside Your Infrastructure
On-premise or private cloud deployment. All execution—builds, tests, validation, and Git operations—stays inside your network.
Minimal Context to Cloud Models
Only the necessary code snippets are sent to cloud models (Claude, OpenAI, Gemini). No full repositories, credentials, or bulk data leave your environment.
No Direct Model Access
Agents act as secure intermediary. Cloud models never touch your IBM i, repos, databases, or servers. Execution remains local, with only minimal context passed to models.
Isolated Container Execution
Least-privilege access, isolated execution, and fully auditable workflows.
Customer-Controlled Credentials
All secrets, service accounts, and Git credentials stay local and are never exposed to LLMs.
Built-In Governance
Role-based access controls, complete audit trails, standardized compliance templates, and developer approval gates.
The Solution
Built for Teams Futurizing Real Systems
Profound Coder Helps Enterprises:
Futurize without disruption
Reduce backlog and technical debt
Prepare for developer retirement
Deliver faster—without increasing risk
Who Profound Coder Is For:
Teams maintaining large, long-lived systems
Backlogs constrained by testing, validation, and risk
Environments where mistakes are expensive
Learn More About Agentic Coding with Profound Coder
Agentic coding shifts development from writing code to orchestrating autonomous agents and reviewing their verified outcomes.