Building for the agent era

Confidence in code.
Governance in practice.

Codifide designs programming languages, platforms, and governance frameworks for a world where AI agents write, read, and reason about code alongside humans.

Explore the work AI Governance thinking →

Active Projects

Four active projects at the intersection of AI, software, and real-world impact.

AI Governance · Open Source

Agentic Stage-Gate Governance

A governance framework for software built by AI agents.

When your developer is an AI agent, who watches the gates? This open-source template adapts Robert Cooper's Stage-Gate® framework for a world where AI builds code faster than humans can review it. Copy the steering files into any project — governance, adversarial review, and quality gates activate automatically in Kiro, Cursor, Windsurf, or any AI coding assistant.

  • 7-gate process (G0–G6) from problem validation to post-launch learning
  • Three-model review: A-Team builder, B-Team critic, Zero-Context auditor
  • 100% test coverage as a gate requirement, not a goal
  • Security and accessibility at every gate, not as a phase
  • Works with any AI IDE — Kiro, Cursor, Windsurf, GitHub Copilot
  • AI builds. Humans decide. Evidence proves.
"Speed without governance is faster failure. Evidence, not confidence. 'We think it's fine' is not a gate pass."
View on GitHub → Read the whitepaper
Open Source · v4.0

The Codifide Programming Language

A contract-and-dispatch language for agent-to-agent trust.

Not a systems language. Not general-purpose. Codifide optimizes for declaring intent and contracts, dispatching among candidates, enforcing effects, and content-addressing compositions — the properties that matter when agents write, read, and compose code alongside each other.

  • Intent preserved as structure — not a comment the compiler discards
  • Effects declared in the type, enforced transitively across the call graph
  • Contracts evaluated by the runtime, not trusted as docstrings
  • Confidence as a first-class dispatch mechanism
  • First-class refusal — bottom is a value, not an exception
  • Content-addressed identity — same hash, same bytes, same trust
Python Rust 461 tests MIT License
Explore the language →
Healthcare · AI · HIPAA

Codifide Health

AI-powered healthcare intelligence, built for compliance from the ground up.

A Tuva-aligned analytics platform designed to support 10M+ patients at scale, with AI clinical decision support, federated machine learning, and multi-region deployment. Built for HIPAA/SOC2 compliance from the ground up — not bolted on.

  • FHIR-native EHR integration with SMART on FHIR OAuth (Epic, Cerner, athenahealth, eClinicalWorks)
  • Fail-closed organization enforcement — no implicit tenant fallbacks
  • GPT-4 powered clinical assistant with audit trails
  • MIPS/HEDIS quality measures with real-time updates
  • Zero-trust security with ABAC policies, HIPAA/SOC2 ready
FHIR Kafka ClickHouse Keycloak Federated ML

Private project — interested in contributing? Get in touch.

iOS · Consumer · AI

Decode The Sign

Confusing parking signs, interpreted instantly on your iPhone.

A native Swift/SwiftUI iOS app that helps you interpret the chaos of urban parking signs. Point your camera, get guidance — with AR overlay, Siri, Live Activity, and Apple Wallet integration. Built with a time-aware rule engine, semantic OCR, and conservative low-confidence gating — it refuses to guess rather than risk being wrong. A companion web app serves Android and desktop users.

  • Native Swift/SwiftUI app — ARKit real-time verdict overlay on signs
  • App Intents (Siri) — "Hey Siri, can I park here?"
  • Home Screen Widgets with Live Activity and Dynamic Island countdown
  • MapKit with color-coded pins, Apple Wallet parking sessions
  • Vision Framework sign detection, Core Haptics feedback, offline caching
  • Time-aware parking rule engine with multi-sign merging
  • Semantic OCR-to-rule candidate scoring
  • Multi-city data sync — Chicago, NYC, San Francisco, Raleigh
  • Street cleaning schedules and EV charging station data
  • Conservative low-confidence gating — never guesses
Swift ARKit WidgetKit ActivityKit Next.js Supabase OpenAI OCR Vercel
DecodeTheSign onboarding DecodeTheSign scan result DecodeTheSign nearby map DecodeTheSign AR mode
Visit decodethesign.com →

Private project — interested in contributing? Get in touch.

Release Announcements

The Codifide Programming Language is at v4.0 — runtime type enforcement, standard library, 461 tests passing.

Read the announcements →

AI Governance Thinking

Agentic AI removes the speed constraint on building. It does not remove the constraint on safety. The question isn't "can AI build it?" — it's "should this ship?"

Speed without governance is faster failure

AI can produce 50 files in an hour. The bottleneck is no longer building — it's deciding what to ship. Governance frameworks must evolve to match the pace of agentic development, not lag behind it.

Evidence, not confidence

"We think it's fine" is not a gate pass. Every gate requires artifacts — test coverage reports, security sign-offs, accessibility audits, integration tests against real backends. Not demos. Not decks.

The builder cannot review their own work

Teams immersed in development share the same blind spots. A separate adversarial reviewer — different model, different prompt, hostile persona — attacks every gate. A Zero-Context reviewer reads the work as a regulator would: knowing nothing, asking everything.

AI builds. Humans decide.

The gate decision — go, kill, hold — is never delegated to the machine. AI provides evidence. Humans decide what ships. That boundary is not a limitation of AI; it's the architecture of accountability.

Intent must survive compilation

When an agent transforms code, the original intent should be preserved — not discarded. Systems that lose intent create accountability gaps that compound at scale. The language is the governance.

Read the whitepaper → Follow on LinkedIn

About Codifide

Codifide Inc. is a software company and research practice building tools for the agent era. The name means the same thing for both the company and the language it stewards: confidence in code.

The work spans language design, healthcare intelligence, consumer AI, and governance frameworks — connected by a single thesis: the properties that matter most in AI-assisted software are the ones that need to be enforced by the system, not trusted to the agent.

Founded and led by Douglas Jones, a software practitioner and thought leader on AI governance, based in the United States.

Veteran-owned small business

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