Discuss as a team.
Ship specs to your
coding agent.
Contexire captures every product decision from your team's conversations and turns them into structured, living specs that Cursor, Claude Code, and Copilot can actually execute on.
The Problem
Decisions happen in chat.
Agents need structured context.
The bottleneck isn't your coding agent. It's everything that happens before you open Cursor.
Decisions die in chat
Two-hour Slack debate about auth strategy. The decision gets buried in a thread. Next sprint, the same question resurfaces because nobody can find it.
Agents fly blind
Cursor and Claude Code are powerful — but only as good as the context you give them. Most teams paste a few sentences and hope for the best.
Specs rot instantly
You wrote a PRD once. It was outdated by Tuesday. Real decisions live in conversations that nobody extracts or maintains.
How It Works
Three steps.
Discussion to deployable spec.
Start a session. Invite teammates. AI joins as a participant — asking follow-ups, catching gaps, and pushing back before open questions become bugs.
As you talk, AI extracts decisions, schemas, architecture choices, and constraints into a structured spec that updates in real time.
One click turns your spec into an MCP server or markdown bundle. Your coding agent finally knows what to build — and why.
Features
Everything the context layer needs.
Persistent product memory
Your entire product — tech stack, architecture decisions, open questions, and past debates — lives in one persistent memory. Every session picks up where the last one left off.
Real-time team sessions
Multiple users in one session with live presence and AI acting like an actual teammate — not a chatbot.
MCP server export
Your spec becomes a queryable MCP server. Coding agents ask live questions instead of reading stale files.
Gap detection
AI spots missing edge cases, undefined failure states, and architectural blind spots before they reach production.
Cross-session tracking
Past decisions stay queryable across sessions. Contradictions get flagged before the team wastes another sprint.
Auto diagrams
Discuss an auth flow or schema and instantly generate Mermaid diagrams that stay synced with the conversation.
What You Get
A 20-minute discussion
becomes a deployable spec.
Not another document that rots. A structured, queryable spec with every decision tracked, every open question flagged, and every schema ready for your coding agent.
Before & After
The difference
context makes.
Who It's For
Built for people who ship.
Solo Builders
“I have 10 ideas and zero documentation.”
A thinking partner that remembers everything, pushes back when needed, and writes the specs you never find time to write.
Small Teams (2-8)
“Our decisions live in someone's head.”
A shared product brain. Decisions stop depending on memory, screenshots, and old Slack threads.
AI-First Builders
“I spend half my time writing context prompts.”
The layer between product decisions and your coding agent. Think once, capture it, export, and ship.
Why Now
The timing is
not accidental.
AI coding agents just hit mainstream
Cursor, Claude Code, Copilot, Windsurf — every team now has an AI that writes code. But none of them know what your team actually decided to build.
The bottleneck shifted
It's no longer "can AI write code?" — it's "does AI know what to build?" Teams that feed their agents the best context ship the fastest.
Context is the new moat
As AI code generation gets commoditized, the competitive advantage moves to who can give their agents the richest, most structured product context.
Pricing
Free while we build
the future of specs.
Contexire is free during early access. Pro and Team plans are coming — early users will get priority pricing.
FAQ
Questions.
Still curious? Reach out. We reply fast.
Stop shipping what you
think you decided.
Every team building with AI agents needs a context layer between decisions and code. Start capturing yours.
Or join the waitlist for updates