AI-SDD Platform autonomously executes Spec-Driven Development for governed organizations β zero setup, full governance, complete audit trail from intent to deployed code.
The Problem
Copilot, Cursor, Claude Code, Devin β every AI coding tool requires installation, configuration, API keys, and a developer actively in the loop. Governed organizations cannot standardize, govern, or scale something every team sets up differently.
AI tools generate code fast, but without requirements, design, or task artifacts there is no audit trail, no review process, and no institutional memory of why anything was built the way it was.
Each team uses AI differently. There are no shared standards, no governance checkpoints, and no way to enforce the quality bar needed for production-grade delivery β creating unpredictable and unauditable results at scale.
The Solution
AI-SDD Platform enforces Spec-Driven Development across every team β automatically generating requirements.md, design.md, and tasks.md before any code is written. No AI agents to configure. No CLIs to install. Operators submit intent from a browser; AI-SDD executes the full pipeline internally with an immutable audit trail committed to Git for every feature.
AI-SDD executes autonomously end-to-end. Every phase is fully observable and documented β human intervention is always available, never required by default.
How It Works
Describe what you want in plain language from the AI-SDD dashboard. No tickets, no PRDs, no manual spec writing β just your intent. AI-SDD parses it and initiates the full SDD governance workflow automatically.
"Migrate the billing service from REST to GraphQL"
AI-SDD autonomously produces requirements.md, design.md, and tasks.md before writing a single line of code β all committed to Git and fully auditable. Execution continues automatically unless a review gate is configured.
Every change is logged in an immutable audit trail. AI-SDD automatically rolls back on pipeline failure. Full visibility and override control are always available β your team intervenes only when it matters.
Every other AI coding tool requires a developer to install it, configure it, and actively run it. AI-SDD Platform is different β operators submit intent from a browser and the platform handles everything internally. No API keys per team. No CLI to learn. No agent configuration to maintain.
| Other AI Tools | AI-SDD | |
|---|---|---|
| Setup required | Install CLI, configure API keys per team | Open a browser |
| Who can use it | Developers only | Any operator with a browser |
| Governance artifacts | None β code output only | requirements.md, design.md, tasks.md per feature |
| Audit trail | Git history at best | Immutable spec trail from intent to deploy |
Production-Grade from Day One
AI-SDD is fully managed. Operators interact through a browser β no Claude Code, no CLI, no AI agent configuration, no API keys to manage per team. The platform handles all AI execution internally, consistently, across every team.
Spec-as-code artifacts β requirements.md, design.md, tasks.md β are generated and committed to Git for every feature. The complete lineage from business intent to deployed code is always available and tamper-proof.
Automatic rollback on pipeline failure with git-based snapshot management. AI-SDD always knows the last known-good state and can restore it instantly, eliminating the manual scramble of a failed production deployment.
Manage multiple teams and application portfolios simultaneously from a single platform. AI-SDD orchestrates parallel development events across your organization while maintaining independent governance for each system.
Reference Applications
Two reference applications are live and running on the Platform. Every feature, fix, and improvement runs from plain-language intent through the full SDD governance pipeline to deployed code β with no developer tooling required.
Use the dashboard to evolve either reference app β or describe a change to your own system once you connect it.
