Governed Code Compilation

Governed software production.
From documentation to working code.

Docency manages the entire process — transparent at every stage, single source of truth for the whole team. People decide, system compiles and verifies consistency.

Three problems AI didn’t solve

AI tools accelerated code production. They didn’t fix the process around it.

01

Delivery time doesn’t drop

The bottleneck is translating requirements into implementation — every handoff loses fidelity. Analysts, product owners and domain experts have the knowledge but can’t transfer it directly.

02

More code, more chaos

AI tools generate code faster than ever. But the team drowns in code review, and requirements get lost along the way. Speed without control isn’t productivity — it’s technical debt.

03

Docs rot in days

Documentation and code are separate artifacts that inevitably drift apart. New team members don’t know what to trust. In regulated industries (SaMD, fintech) it’s a compliance risk.

How Docency works

Complete process — from documentation through code, tests and configuration to deployment and support.

01

All documentation in natural language

input.md

Describe requirements, architecture, business rules, test scenarios, configurations — as interconnected documents in language the whole team understands.

## User Authentication

The system **shall** authenticate users
via OAuth 2.0 with PKCE flow.

Session timeout: 30 minutes.
Max concurrent sessions: 3.
02

Dependency graph

graph.resolve()

Docency builds a dependency graph between documents. Every artifact — from requirement to test — has known connections. A change in one place is visible across the entire system.

auth.md
├── api-routes.md
├── db-schema.md
└── middleware.md
    └── rate-limit.md
03

Changes propagate automatically

cascade.propagate()

Change a requirement — Docency identifies every document and artifact that depends on it and propagates context-aware updates through the entire graph. Code, tests, configuration — everything updates.

auth.md           [changed]
├── api-routes.md  [updated]
├── db-schema.md   [updated]
└── middleware.md   [updated]
    └── rate-limit.md [updated]
04

Documentation compiles to code

compile.emit()

The NL-to-code compiler generates source code, tests, configurations, APIs, data schemas — everything linked to source documentation. Documentation IS the source code.

export async function authenticate(
  req: Request
): Promise {
  const token = await verifyPKCE(req);
  return createSession(token, {
    timeout: 30 * 60,
    maxConcurrent: 3,
  });
}
05

Checkpoints and verification

verify.check()

The system detects missing information and inconsistencies. People verify and decide. Every change is tracked — full audit trail. Post-deployment: logs, error observation, fix propagation.

auth.md           [ok]
├── api-routes.md  [ok]
├── db-schema.md   [warning: missing index]
└── middleware.md   [ok]
    └── rate-limit.md [ok]
audit: 12 changes tracked

Built for teams that build software

Software Teams

Your team + Docency = governed process from requirements to working code. Clients get not just code, but a managed process with full traceability. Open to partnership — let’s shape the new approach together.

QA & Quality

One source of truth: requirement = specification = test. Acceptance criteria derive from documentation. Tests generate from requirements. A requirement change automatically updates tests.

Change Management

Adopting AI into your existing process — step by step. No revolution required. Docency integrates into your workflow and gradually takes over consistency management.

60–80% effort reduction

SaMD & Compliance

EU MDR / IEC 62304 require traceability. Docency provides it architecturally — not by process. Documentation IS the source; traceability is automatic.

Let’s talk about working together

No commitment. Share your context — we’ll show how we can collaborate.

Not ready to talk yet?

AI market insights, Docency progress, pilot access. Max twice a month.