AI IDE

Use Q with VS Code + Copilot

Export your product context from Q as rules files for GitHub Copilot. Your brief, scope, and decisions guide every code suggestion — so Copilot builds what you actually intend.

Try Q for free Visit VS Code + Copilot

How Q connects to VS Code + Copilot

Q offers multiple ways to share your product context. Here's what works with VS Code + Copilot.

Integration Method	VS Code + Copilot
Single File Export Export selected pages into one consolidated file for easy pasting into any AI tool.
Multiple Files Export Export selected pages as individual standalone files for structured project context.
MCP (Model Context Protocol) Live connection via MCP — AI tools can read, create, and update Q pages directly.
Cursor Rules Export Export product context formatted as Cursor's .mdc rules files for automatic AI guidance.
Skill.md Export Export an instructions file formatted for Claude's Agent Skills (SKILL.md).

How it works

Define your product in Q

Write your product brief, set scope boundaries, and capture decisions. Q organizes your product intent in a structured, exportable format.

Export as context files

Export your product context from Q as markdown or rules files. Drop them into your repo so Copilot picks them up automatically.

Copilot with product awareness

GitHub Copilot reads your exported context files. Code completions and chat responses now reflect your product vision, not just code patterns.

Example: Copilot guided by product context

With Q context exported to your repo, Copilot suggestions align with your product:

markdown

# .github/copilot-instructions.md (exported from Q)

## Product Brief
AI-native product management for solo founders and small teams.
Target: technical founders who vibe-code.

## Scope Boundaries
- MVP: Email auth only (no SSO, no OAuth)
- Pricing: Free tier + one paid plan
- Stack: Next.js, server components, Tailwind

## Key Decisions
- No external analytics — simple internal counters
- All public pages are server components
- No complex state management — URL state preferred

# Copilot now respects these constraints in every suggestion.

Why use Q with VS Code + Copilot

Product context as code

Export your Q context as markdown files that live in your repo. Copilot reads them automatically — no special setup.

Smarter suggestions

Copilot's code completions and chat responses align with your product brief, scope, and architectural decisions.

Scope boundaries in every file

Your exported rules tell Copilot what's in and out of scope. No more suggestions for features you explicitly decided against.

Version-controlled context

Product context lives in your repo alongside your code. Update it in Q, re-export, and your whole team gets aligned.

Make Copilot understand your product

Export your Q context to guide every code suggestion. Ship what you intend, not what the AI guesses.

Start with Q

Integration Method

VS Code + Copilot

Single File Export

Export selected pages into one consolidated file for easy pasting into any AI tool.

Multiple Files Export

Export selected pages as individual standalone files for structured project context.

MCP (Model Context Protocol)

Live connection via MCP — AI tools can read, create, and update Q pages directly.

Cursor Rules Export

Export product context formatted as Cursor's .mdc rules files for automatic AI guidance.

Skill.md Export

Export an instructions file formatted for Claude's Agent Skills (SKILL.md).

# .github/copilot-instructions.md (exported from Q) ## Product Brief AI-native product management for solo founders and small teams. Target: technical founders who vibe-code. ## Scope Boundaries - MVP: Email auth only (no SSO, no OAuth) - Pricing: Free tier + one paid plan - Stack: Next.js, server components, Tailwind ## Key Decisions - No external analytics — simple internal counters - All public pages are server components - No complex state management — URL state preferred # Copilot now respects these constraints in every suggestion.