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CLI Context Weaver: Hyperlink-Powered AI Context Manager

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AI coding assistants constantly struggle with insufficient context, forcing developers to manually copy-paste dozens of files, docs, and references—wasting precious tokens and breaking flow state.

App Concept

  • A CLI tool that builds intelligent context graphs using hyperlinks to connect code, documentation, APIs, and resources
  • Automatically discovers and indexes relevant files, dependencies, and external docs for any coding task
  • Recursively fetches linked context on-demand (e.g., "@docs/api → fetch latest API docs → link related examples")
  • Integrates with Claude Code, Cursor, and other AI assistants via MCP (Model Context Protocol)
  • Maintains a local knowledge graph of your codebase with semantic search and relationship mapping

Core Mechanism

  • Hyperlink-based context traversal: AI models fetch linked resources recursively in ~30 lines of code
  • Automatic codebase indexing on project initialization with dependency graph mapping
  • Smart context selection using embeddings and relevance scoring (only include what's needed)
  • @-mention syntax for context references (@docs, @api, @related, @dependencies)
  • Local caching with TTL for external documentation to reduce API calls
  • Git-aware context: automatically includes relevant commit history and related PRs
  • Token budget optimization: prioritizes most relevant context within model limits
  • Real-time updates as code changes with incremental re-indexing

Monetization Strategy

  • Free tier: 5 projects, basic indexing, local context only
  • Pro tier ($12/month): Unlimited projects, external docs fetching, semantic search, team sharing
  • Team tier ($39/month per 5 users): Shared knowledge graphs, collaborative annotations, organization-wide docs
  • Enterprise tier ($199/month): SSO, on-premise deployment, custom integrations, SLA support
  • Marketplace: Paid context packs for popular frameworks (React ecosystem, AWS SDK, etc.)

Viral Growth Angle

  • Before/after screenshots showing token savings (80% reduction in context size)
  • "Context engineering" becoming the new "prompt engineering" buzzword
  • Integration showcases with Claude Code, Cursor, and Windsurf driving discovery
  • Developer productivity metrics: "2x faster coding with proper context"
  • Open-source context graph format becomes industry standard
  • Conference talks and blog posts about "context-first development"

Existing projects

  • 16x Prompt - Desktop app for code context management with file organization
  • Archon - MCP integration with 14 specialized tools for knowledge bases
  • Cursor @docs - Native documentation reference in Cursor IDE
  • VS Code Copilot #fetch - Web content reference via fetch tool
  • Context.so - Documentation platform with AI-powered search (different focus)

Evaluation Criteria

  • Emotional Trigger: Be indispensable, be prescient (eliminate frustration, feel like magic)
  • Idea Quality: Rank: 8/10 - Solves real pain point with elegant solution + growing AI coding market
  • Need Category: Integration & User Experience Needs (seamless AI integration, reduce friction)
  • Market Size: 15M+ developers using AI assistants, estimated $500M+ market by 2026
  • Build Complexity: Medium (requires indexing system, embeddings, hyperlink parsing, MCP integration)
  • Time to MVP: 3-4 weeks with AI agents (basic indexing + @-mentions + one IDE integration)
  • Key Differentiator: Only tool using hyperlink-based recursive context fetching with automatic knowledge graph building