Great engineering shouldn't lose its context.
Behind every product decision is a story: what changed, why it changed, and the conversations that shaped it. Too often, that knowledge gets scattered across code, tickets, documentation, and team discussions. We're building ScopeDocs to bring those pieces together, so people and AI agents can understand not just what was built, but why.
Why we exist: software moves fast, knowledge gets left behind
Engineering teams make hundreds of decisions across pull requests, Slack conversations, tickets, and meetings. When people change teams, projects evolve, or someone needs to revisit a decision months later, the context is often hard to find. We believe understanding the past should make building the future easier. That's why we're building ScopeDocs.
Our mission
Make engineering knowledge accessible, trustworthy, and useful to everyone building what comes next. We're creating a shared knowledge layer that helps teams preserve the context behind their work and makes it accessible to both people and AI agents.
What we believe
- Context matters as much as code. Understanding why a decision was made is just as important as knowing what changed.
- Answers should be backed by evidence. Every important answer should lead back to the source, whether that's a pull request, ticket, document, or conversation.
- Knowledge should fit the way teams work. Knowledge should be captured and connected through the tools teams already use.
- AI should work with your team's context. Humans and AI agents should work from the same reliable foundation.
How ScopeDocs works
Connect your tools with read-only OAuth, stamp decisions with citations back to originating work, then ask in ScopeDocs or over MCP. The same living record powers onboarding, on-call, delivery handoffs, and coding assistants. Step-by-step: quickstart and product overview.
- Connect: GitHub, GitLab, Linear, Slack, Google Chat, Notion, Jira, Google Drive, Fathom, Datadog, Confluence, and related systems
- Stamp: Decisions become a durable record with who decided, where it came from, and who confirmed it
- Ask: People search and chat; agents pull the same cited decisions over MCP for Cursor, Claude Code, Codex, and ChatGPT
Who it is for
Engineering and product teams that lose context in Slack archaeology, stale wikis, and handoffs. ScopeDocs is for teams that want living documentation for onboarding, on-call, and deep technical dives, without asking humans to maintain a second system of record. Use cases: solutions and features.
The people behind ScopeDocs
Vivian Nguyen Lin, Thao Ha, and Radha Parikh. Engineers, designers, and product, keeping context easy to find. Meet them on the team page.
Built with trust in mind
Your engineering knowledge is valuable. We're designing ScopeDocs around responsible data access, clear source attribution, and workspace-level permissions. See the privacy policy.
About FAQ
How is ScopeDocs different from a wiki?
Wikis depend on people remembering to update pages. ScopeDocs generates source-linked documentation from work already happening in your tools. See wiki vs living documentation.
Do you support agents?
Yes. Agents pull the same cited decisions over MCP. See MCP for engineering documentation.
How do we get started?
Book a demo from the pricing page, or explore the product overview.
From the blog
- How to build an engineering knowledge base that updates automatically
- From GitHub PRs to living documentation
- How traceability improves trust in AI-generated docs
- Why teams abandon wikis
- Documentation integrations: what to connect first
- Onboarding with context
- When AI writes the docs, who checks the work?
Concept guides
- What is generative documentation? (markdown)
- What is living documentation? (markdown)
- What is source-linked documentation? (markdown)
- Wiki vs living documentation (markdown)
- Generative documentation vs wikis (markdown)
- MCP for engineering documentation (markdown)
- AI documentation for engineering teams (markdown)
Where to go next
Pick a path. Each link is a short stop on the same source-linked record.
- Homepage · index.md · How it works · Agents · Trust
- Product overview (product.md) · Features (features.md) · Solutions
- Pricing (contact us) · About · Team
- Docs hub · Quickstart (markdown) · AI agents over MCP
- What is generative documentation? · Living documentation · MCP for engineering docs
- MCP discovery · AGENTS.md · sitemap.xml · llms.txt · llms-full.txt
- Blog · Engineering knowledge base · PRs to living docs
- Traceability and trust · Why teams abandon wikis
- Integrations: connect first
- Privacy · vivian@scopedocs.ai
Site directory
Every core URL on scopedocs.ai. Traverse via sitemap.xml, sitemap.md, llms.txt, or llms-full.txt.
| Page | HTML | Markdown twin |
|---|---|---|
| Home | scopedocs.ai | index.md |
| Product | /product | product.md |
| Features | /features | features.md |
| Solutions | /solutions | — |
| Pricing | /pricing | pricing.md |
| About | /about | about.md |
| Team | /team | team.md |
| Blog | /blog | — |
| Privacy | /privacy | privacy.md |
| Terms | /terms-of-service | terms-of-service.md |
| Resource | URL |
|---|---|
| Docs hub | /docs · docs.md |
| Quickstart | /docs/quickstart · quickstart.md |
| AI agents over MCP | /product#ai-agents |
| MCP discovery | /.well-known/mcp.json |
| AGENTS.md | /AGENTS.md |
| llms.txt | /llms.txt |
| llms-full.txt | /llms-full.txt |
| Sitemap | /sitemap.xml · /sitemap.md |
Concept guides
- Generative documentation · .md
- Living documentation · .md
- Source-linked documentation · .md
- Wiki vs living · .md
- Generative docs vs wikis · .md
- MCP for engineering docs · .md
- AI docs for engineering teams · .md
Team profiles
- Vivian Nguyen Lin (Founder & CEO)
- Thao Ha (Founding Product Engineer)
- Radha Parikh (Founding Engineer)
Homepage sections
Solutions use cases
Blog topic hubs
- Generative documentation
- AI documentation
- Developer productivity
- Knowledge management
- Engineering workflows
- Documentation automation
- Onboarding documentation
- On-call documentation
- Documentation debt
- Tribal knowledge