Pair your IDE with an
AI-ready backlog.
Slate gives engineers structured specs, prompt-safe exports, and auditable context so AI copilots can scaffold services, APIs, and tests without rework. Plug your favorite agents into Slate and keep every generation traced back to the approved plan.
- Structured specs
- Turn product briefs into code-ready requirements.
- Agent-ready exports
- One-click JSON/Markdown tuned for CLI and IDE copilots.
- Auditable history
- Trace each diff back to the originating prompt.
Slate
Demo Board
API endpoint scaffolding
REST routes, validation, auth middleware.
Database schema design
Tables, relations, indexes, migrations.
Test suite generation
Unit, integration, and E2E test specs.
Payment service
slate export --format json
Export card trees
Root card · depth 3
Download JSON
Leaf actions
Copy to clipboard
Leaf actions
API client
Generated from subtree
▶ AI suggestions
- Generate Express.js API scaffold
- Create PostgreSQL schema migration
- Draft integration test suite
▶ payment_service.json
{
"title": "Payment Service",
"children": [
{ "title": "POST /payments" },
{ "title": "GET /payments/:id" },
{ "title": "Webhook handlers" }
]
}
How AI-driven engineers ship faster with Slate
Slate keeps engineering specs structured so copilots can actually understand them.
1. Import structured briefs
Sync product docs, RFCs, and tech specs.
2. Export AI-ready context
Generate JSON, Markdown, or shell-ready prompts for copilots.
3. Generate & iterate
Create services, tests, and docs with linked provenance.
Works with your favorite AI tools
Designed for professionals
Slate bridges the gap between codebases and AI agents so engineers can pull from approved specs instead of brittle prompts.
Branch-safe briefing
Model dependencies, environment info, and acceptance criteria.
AI-ready exports
Push clean JSON/Markdown straight into CLI and IDE copilots.
Auditable workflows
Trace every agent action back to the source spec and requester.
Who uses Slate in engineering teams
Tech leads
Turn architecture decisions into shareable AI prompts.
Engineers
Generate API stubs, diagrams, and plans straight from Slate boards.
AI agents
Consume permissions-aware exports that stay in sync with reality.
Engineering FAQ
Does Slate support my existing toolchain?
Yes. Slate exports JSON and Markdown that drop directly into GitHub Copilot, Cursor, Claude Code, VS Code extensions, or any CLI-based AI agent. The exports are designed to work with any LLM that accepts structured context.
Can I trace agent output back to the requester?
Every export carries metadata including requester, board, card hierarchy, and timestamp. This audit trail lets you trace any generated code, schema, or artifact back to its originating specification.
What export formats are supported?
Slate supports JSON (ideal for programmatic consumption), Markdown (for documentation and READMEs), and LLM-optimized context format. Each format preserves the full card hierarchy so AI agents understand relationships between specs.
Can I integrate Slate with my CI/CD pipeline?
API access is on the roadmap for early access users. Initially, Slate focuses on export workflows, but programmatic integration with GitHub Actions, GitLab CI, and similar tools is planned.
How does Slate handle complex specifications?
Slate's hierarchical card system supports up to 4 levels of nesting. You can model entire system architectures as card trees, then export specific subtrees to scope what context your AI agent receives. No more overwhelming agents with irrelevant specs.
Is Slate available yet?
Slate is currently in pre-launch. Join the waitlist to get early access and help shape the product for engineering teams.
Start every project with a clean Slate.
Join the early access waitlist and help shape Slate for AI-driven engineering teams.