Everything You Need for AI Governance & Quality
Define your standards, build with governed AI agents, verify with automated fitness tests, and learn from every failure — a closed loop that makes AI-generated code better over time.
Define
Teach AI Your Standards
Define what ‘correct’ means for your codebase. Your tech stack, guardrails, specifications, and workflow become the context layer that governs every AI interaction.
Tech Stack Declaration
Explicitly declare the frameworks, languages, and infrastructure your team uses. This drives guardrail suggestions and CLAUDE.md generation.
Guardrails from Mistakes
When AI generates code that violates your architecture, capture the mistake and correct approach as a guardrail — so the same error never recurs.
Spec-Driven Requirements
Define expected behaviour in Given/When/Then format before code is written. Specs become the single source of truth for AI agents.
CLAUDE.md Generation
Auto-generate project configuration files that encode your tech stack, guardrails, and workflow into context that any AI assistant can consume.
Build
AI Agents That Follow Your Rules
Plan features, execute implementation, and chat with AI — all governed by your defined standards. No more hoping the AI guesses correctly.
AI Product Planning
Describe what you want to build. AI generates a structured plan with epics, issues, and dependencies — scoped to your architecture patterns.
Automated Execution
AI agents implement planned issues one by one, following your workflow steps, referencing your specs, and respecting your guardrails.
Context-Aware Chat
Get answers and code reviews from AI that knows your guardrails, tech stack, and architecture decisions. Every response is informed by your standards.
Verify
Automated Quality Gates
Architecture fitness tests, integration test reports, CI/CD monitoring, and API contract validation — catch regressions before they reach production.
Architecture Fitness Tests
Auto-generated shell scripts that run in CI/CD to detect architecture violations. Every guardrail becomes an executable check on every pull request.
Integration Test Reports
View test results across all services with pass/fail status, duration metrics, and HTTP request/response traces. Spot regressions instantly.
CI/CD Monitoring
Real-time visibility into build and deploy status across all repositories. Know immediately when something breaks.
API Contract Testing
Browse OpenAPI specs and detect drift between deployed APIs and repository definitions. Living documentation that alerts on divergence.
Learn
Every Failure Makes the System Smarter
When a test fails or a regression is detected, SystemDox suggests a new guardrail. Your AI governance gets stronger with every correction — automatically.
Failure-to-Guardrail Pipeline
A failed fitness test or regression automatically suggests a new guardrail. One click creates the rule, generates the test, and updates your AI context.
Compounding Accuracy
Each guardrail prevents an entire class of future mistakes across every AI-assisted session, every developer, and every repository. Quality compounds.
Drift Detection
When API specs diverge from code, or when CLAUDE.md becomes stale, SystemDox surfaces the drift and suggests updates to keep context accurate.
Enterprise-Grade Security
AI governance data contains sensitive architecture decisions, tech stack details, and proprietary patterns. SystemDox is built with security as a core principle.
Ready to Transform Your Documentation?
Start capturing architecture decisions, meeting notes, and technical designs with your voice. Free to get started.