Douglas Jones

Engineering leader · AI-native architect · Founder, Codifide — Confidence in Code

I build production software systems where AI agents and humans work together — and I build the governance frameworks that make that collaboration safe. My work focuses on applying agentic AI to consequential domains (healthcare, security, regulated systems) while preserving verification, accountability, and human judgment at every decision point.

I'm a hands-on engineer and architect. I write code, design systems, and ship production software. The governance frameworks I publish aren't theoretical — they emerged from building real systems under real constraints, where wrong answers have consequences.

Areas of Focus

• Agentic SDLC Governance — designing the checks and balances for engineering organizations where AI agents produce code at machine speed
• Loop Engineering — autonomous coding loops with independent verifiers, circuit breakers, and human escalation
• Intent Integrity — ensuring what humans authorized is what actually executes, through every agent transformation
• Healthcare AI — regulated clinical platforms with deterministic computation, selective AI, and domain-expert governance
• Production AI Security — supply chain verification, tiered adversarial review, and continuous security posture at agentic velocity

Research & Writing

• Loop Engineering: A Pragmatic Guide to Agentic Software Development
• AI Security Changed in 90 Days. Most SDLCs Didn't.
• Agentic Stage-Gate-Loop Governance Whitepaper
• What Building a Regulated Healthcare Platform Taught Me About Agentic Engineering

Open Source

• Agentic Stage-Gate-Loop Governance — open-source framework for governing AI-native software development
• Codifide Programming Language — contract-and-dispatch language for agent-to-agent trust

Background

Engineering leader with deep production experience in healthcare technology, AI systems, and platform architecture. Built and scaled clinical analytics platforms serving millions of patients across hundreds of healthcare organizations. Led engineering teams through platform modernizations involving regulated data, compliance requirements, and high-availability constraints.

The Agentic Stage-Gate-Loop governance framework emerged directly from this production experience: when AI agents become active participants in building consequential software, the engineering operating model has to change. Speed without governance is faster failure.

Veteran-owned small business.

Connect

• LinkedIn — AI governance, thought leadership, production engineering
• GitHub — open source projects
• info@codifide.com