Traceboard Docs
Documentation
Everything you need to scope products visually, align your team, and ship AI-ready context into your editor — without hand-writing markdown from scratch.
What is Traceboard?
Traceboard is a collaborative workspace for product and engineering teams who build with AI coding tools. Map your product on a visual canvas, write specs in documents, and let Traceboard compile everything into structured context files your AI editor actually understands.
Instead of copying PRDs into chat windows or maintaining a messy folder of half-finished markdown, you work in one place — then export a clean, consistent context bundle straight into your local codebase.
Why we built it
Modern AI editors are only as good as the context you give them. Most teams still bridge that gap manually: pasting requirements, rewriting architecture notes, and hoping the model remembers your conventions across sessions.
That breaks down fast when:
- Product thinking lives in FigJam, Notion, or scattered docs — not where you code.
- Every developer maintains their own version of
code-standards.mdandproject-overview.md. - Teammates drift out of sync because nobody has a single source of truth for scope, UI rules, or workflow constraints.
- Context windows fill up with redundant copy-paste instead of focused, reusable project knowledge.
Traceboard exists to close that gap — turn messy early-stage product work into a repeatable context system your whole team (and your AI agents) can rely on.
What you get
Visual product mapping
Sketch screens, flows, and system connections on a multiplayer canvas so architecture is visible — not buried in prose.
Living documentation
Write PRDs, technical notes, and feature specs in workspace documents alongside your canvas — all in one project.
One-click context compilation
Hit Convert to Context and Traceboard generates six markdown files tailored to your project — overview, roadmap, UI rules, standards, workflow, and progress tracking.
Built for teams
Invite collaborators, edit together in real time, and keep everyone aligned on the same scope before a single line of code ships.
Local editor sync
Pull your latest context into any repo with the Traceboard CLI — ready for Cursor, Copilot, or whatever agent you use.
Less setup, more building
Stop writing boilerplate context by hand. Spend your time on features, not re-explaining your architecture every session.
How it works
Traceboard follows a simple loop — scope visually, compile context, code with confidence:
- Create a project and invite your team.
- Map the product on canvas and capture requirements in documents.
- Set project rules in Context Configuration so output matches your standards.
- Convert to Context to generate your six markdown files.
- Sync to your local repo with the CLI and start prompting your AI editor.
Bring your own editor
Traceboard does not replace your IDE. It feeds it — giving Cursor, VS Code, or any AI-assisted workflow the structured project memory it needs to generate accurate, on-scope code.
Quick start
- Sign up free and open your workspace dashboard.
- Create your first project with + New Project.
- Add a canvas and a document — even rough notes are enough to start.
- Open Project Settings → Context Configuration and click Convert to Context.
- Copy files from the preview or sync them locally with traceboard-cli.