Governed AI coding, grounded in what you approved.

After Spec2TestAI approves a requirement, Spec2Code AI carries that context — the requirement, your standards, your security policy — straight into the AI assistants your developers already use.

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The last-mile governance gap

AI coding assistants generate code from whatever a developer happens to paste into the chat window. Spec2Code AI doesn't invent context — it propagates the context your requirements work has already approved, so AI-assisted development becomes a governable, traceable, program-level practice instead of a personal habit.

What it does

Approved context, into the tools they use.

Tool-agnostic by design

Delivered over the Model Context Protocol to GitHub Copilot, Cursor, Windsurf, Cline, and Claude — you're never locked to one vendor.

Closes the loop

Requirement → code → test, governed end to end — instead of reconstructing the link after the fact.

Standardized at scale

The same approved context for every developer — across distributed, outsourced, and multi-vendor teams.

Connected over MCP

Prompts on tap, in the editor.

Developers pull context-rich, version-aware development prompts for any story without leaving their assistant.

get_prompt get_all_prompts check_prompt_status generate_prompts

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Make AI-assisted development governable.

See approved requirements flow into your team's coding assistant — so the code that gets written is the code you specified.

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