How to vibe codeSlite
The AI knowledge base that stays accurate
slite.com ↗SaaS / Knowledge Management
The verdict: can you vibe code Slite?
Build a personal static wiki with search instead, because replicating Slite's real-time CRDT engine and autonomous drift-detection agent requires months of architecture.
Slite combines three brutally hard subsystems into one product: a multiplayer collaborative document editor, a permission-aware vector RAG search engine, and an autonomous event-driven agent loop that monitors third-party tools like GitHub and Slack for knowledge drift. While an AI agent can scaffold the basic database schema and Next.js shell in an afternoon, you will hit massive friction wiring up conflict-free replication for editing, writing robust webhook ingestion pipelines for external services, and ensuring your RAG system never leaks restricted document snippets across user permissions. For personal use, paying $10-20/mo is far cheaper than the weeks of engineering agony required to clone this stack.
Estimated effort: 3-4 months of part-time engineering
What you can't replicate
- Native enterprise compliance certifications (SOC 2 Type II, HIPAA)
- Pre-built, rock-solid bi-directional sync ecosystems with thousands of corporate Slack and GitHub workspaces
- Decades of edge-case hardening on simultaneous multi-user document collaboration
Founded
2016
Raised
—
Team
35-50
Cheapest paid tier
$10/mo
What Slite does
An AI-powered, self-maintaining knowledge base and documentation platform designed for teams, featuring change-detecting agents, permission-aware vector search, and MCP integrations.
Core features
- Real-time collaborative document editor with version history
- Hierarchical knowledge tree (collections, channels, documents)
- Document verification workflows and staleness tracking
- Permission-aware vector search and AI Q&A ("Ask") with citations
- Agent monitoring pipelines that parse code/chat commits for drift
- MCP (Model Context Protocol) server interface for external AI tools
- Cross-tool integrations (GitHub, Slack, Linear webhooks)
- Knowledge Management Panel for bulk verification and archiving
The business
Pricing
- Basic$10/mo
- Pro$20/mo
- EnterpriseCustom
Funding
Unknown / bootstrapped
Pay vs build, cumulative
No break-even inside 24 months at these numbers.
The hard parts of vibe coding Slite
- Building or integrating a robust CRDT engine for real-time multi-user document editing
- Implementing permission-aware RAG where search and AI answers strictly respect doc-level access rules
- Designing agent harnesses that reliably parse external webhooks, detect knowledge drift, and draft accurate diff suggestions
- Exposing a fully compliant Model Context Protocol (MCP) server for external clients like Cursor and Claude
- Managing complex bi-directional sync pipelines and token rotation for third-party tools
How to vibecode Slite
Prerequisites
Node.jsfree
Required runtime for Next.js development and package management
GitHubfree
Source control and webhook testing target for agent drift detection
Anthropic API Keypay-as-you-go
Powers the AI search answers, summarization, and agent drift analysis
AI coding tools
Recommended stack
| Frontend | Next.js with Tailwind CSS, shadcn/ui, and TipTap for document editing |
|---|---|
| Backend | Next.js API Routes and Server Actions with Liveblocks for real-time collaboration |
| Database | Supabase (PostgreSQL with pgvector for permission-aware vector search) |
| Auth | better-auth |
| Payments | none |
| Other | Vercel AI SDK for streaming AI answers, Model Context Protocol (MCP) TypeScript SDK |
Hosting & infrastructure
| Vercel | Hosting the Next.js frontend, API routes, and MCP endpoint server | $0-20/mo |
| Supabase | Hosting PostgreSQL database, vector embeddings, and relational tables | $0-25/mo |
| Liveblocks | Real-time document presence, cursors, and CRDT synchronization | $0-29/mo |
Build guide
01Project Scaffolding & Database Schema
Initialize the Next.js application, configure better-auth with PostgreSQL via Supabase, and establish the core database tables for collections, documents, verification states, and document permissions.
Scrape together a new Next.js project configured with TypeScript, Tailwind CSS, and shadcn/ui components. Set up better-auth connected to a Supabase PostgreSQL instance using pgvector extensions. Create database migrations and Prisma or Drizzle schemas for: organizations, workspaces, collections (hierarchical folders), documents (with fields for title, content json/markdown, verification_status, owner_id, and updated_at), document_permissions (mapping users/groups to read/write access), and webhook_events. Ensure all tables have proper foreign keys and index constraints. Write a clean seed script that populates dummy collections and verified docs for testing.02Collaborative Editor & Document Tree UI
Implement the sidebar navigation for document hierarchies and integrate a rich-text editor backed by Liveblocks for real-time multi-user editing.
Build the sidebar document tree supporting nested collections, channels, and pages with drag-and-drop or reordering actions. Integrate TipTap editor within the main panel, and wire it up using Liveblocks for multiplayer real-time collaboration (including remote cursors, active presence avatars, and conflict-free synced state). Add document metadata headers showing verification status, last reviewed date, and assigned document owner. Ensure autosave triggers cleanly against the backend document storage table.03Permission-Aware AI Search & Answers ("Ask")
Build chunking and embedding pipelines for documents, storing vectors in pgvector, and create an AI search panel that respects user permissions and cites sources.
Implement a document indexing pipeline using the Vercel AI SDK and OpenAI/Anthropic embeddings. Whenever a document is created or updated, chunk its content and store vector embeddings in Supabase with pgvector, including metadata for document_id and organization_id. Build a search modal ('Ask') that takes natural language queries, performs a vector similarity search filtering strictly by documents the authenticated user has read permissions for, and streams back an AI synthesized answer complete with source document title citations and trust ranking signals.04Verification Workflows & Knowledge Management Panel
Build the dashboard view for tracking stale documentation, assigning owners, and executing bulk review routines.
Create a dedicated Knowledge Management Panel view for workspace admins and document owners. List all documents sorted by staleness (days since last verification or major edit). Add filters for unverified docs and specific owners. Implement bulk action routines: select multiple outdated documents, trigger bulk recertification requests, or archive stale pages in one click. Add a recurring review scheduler that flags docs for annual or quarterly re-verification.05Agent Drift Detection & MCP Server Integration
Build an MCP server endpoint exposing verified documents to external AI tools and a webhook ingestion worker simulating drift detection from code or chat events.
Build a Model Context Protocol (MCP) server route in Next.js that exposes tools for searching verified docs, reading document content, creating pages, and marking documents as verified, compatible with Claude and Cursor clients using Server-Sent Events (SSE). Additionally, implement a webhook ingestion endpoint that receives mock events (e.g., GitHub PR merged, Slack message summary), uses an Anthropic LLM chain to analyze if the event causes 'knowledge drift' on existing documents, and drafts a proposed diff suggestion routed to the document owner for approval.
Cost vs paying for Slite
What will you build it with?
Starting total with Claude Code$0 one-time
Starting costs (one-time)
- Custom domain (optional)$12/yr
Total~$12 one-time
Ongoing costs (monthly)
- Vercel / Supabase / Liveblocks infrastructure$25-45/mo
- Anthropic API credits for RAG & Agent workflows$10-30/mo
Total~$35-75/mo
Paying for Slite
$20/user/mo
Your time to build
60-80 hours
AI tool credits
$20/mo (Claude Pro / Cursor)
Break-even
N/A (Built for personal/learning use; commercial subscription is cheaper if accounting for engineering time)
Vibe code Slite: FAQ
- Can you vibe code Slite yourself?
- Serious undertaking — 38/100 vibecodeable. Build a personal static wiki with search instead, because replicating Slite's real-time CRDT engine and autonomous drift-detection agent requires months of architecture.
- How long does it take to vibe code Slite?
- 3-4 months of part-time engineering — roughly 60-80 hours of hands-on time with an AI coding agent.
- How do you build your own Slite?
- Scoped to personal use: Next.js with Tailwind CSS, shadcn/ui, and TipTap for document editing on the front, Next.js API Routes and Server Actions with Liveblocks for real-time collaboration behind it, Supabase (PostgreSQL with pgvector for permission-aware vector search) for data. Follow the 5-step build guide on this page — each step has a paste-ready prompt for an AI coding agent.
- How do you code your own Slite without being an expert?
- Use an AI coding tool (Claude Code or Cursor) and work in small steps: scaffold, data model, core screens, then deploy. Realistic effort: 3-4 months of part-time engineering. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code Slite instead of paying?
- About ~$12 one-time to start and ~$35-75/mo to run, versus $20/user/mo for Slite. Break-even: N/A (Built for personal/learning use; commercial subscription is cheaper if accounting for engineering time).
- What stack should you use to vibe code Slite?
- Next.js with Tailwind CSS, shadcn/ui, and TipTap for document editing; Next.js API Routes and Server Actions with Liveblocks for real-time collaboration; Supabase (PostgreSQL with pgvector for permission-aware vector search); plus Vercel AI SDK for streaming AI answers, Model Context Protocol (MCP) TypeScript SDK.