ADCG (AI Development & Compliance Governance) is an orchestration platform that enforces governance at every stage of AI-assisted code development. It does not generate code — it governs the process that does.
The Problem
AI code generation is fast. Governance is slow. Without enforcement, teams ship AI-generated code with no audit trail, no policy checks, and no proof that anything was reviewed. When an auditor asks "how do you know this AI-generated code was validated?", the answer is usually silence.
What ADCG Does
ADCG sits between your AI code generation tools and your production environment. Every piece of generated code passes through a mandatory pipeline:
Plan Intake — A development plan enters the system with declared intent, scope, and constraints
Generation — Code is generated in an isolated Docker-in-Docker environment with no direct access to production systems
Validation — 13 sequential gates evaluate the output against configurable policy rules
Evidence Collection — Each gate produces a signed evidence artifact with verdict, timestamp, and executor identity
Integration — Only code that passes all required gates is admitted to the target repository
Release — Proof packages are assembled with SHA-256 hashes for audit and compliance reporting
Key Principles
No bypass — Code enters through the DMZ. There is no mechanism to skip gates or inject code directly.
Evidence over trust — Every decision is recorded. Auditors receive cryptographic proof, not attestations.
Isolation by default — Generation happens in throwaway containers. No persistent state, no shared memory, no network access to core systems during generation.
Policy as code — Governance rules are versioned, testable, and auditable — not buried in wiki pages.
Who Uses ADCG
Engineering teams adopting AI code generation who need to prove their process is controlled
Security and compliance teams who need auditable evidence of AI governance
DevOps teams who want to integrate governance into existing CI/CD without manual gates
Regulated industries (finance, healthcare, defense, government) where AI code provenance is a regulatory requirement