project.faf

faf_version: 2.4.0
ai_scoring_system: 2025-08-30
ai_score: 68%
ai_confidence: MODERATE
ai_value: 30_seconds_replaces_20_minutes_of_questions
ai_tldr:
  project: 🚀 FAF - Fast AF AI Context Extraction - "FAF - Fast AF Context extraction for Chrome"
  stack: Svelte/TypeScript/Vite
  quality_bar: ZERO_ERRORS_F1_STANDARDS
  current_focus: Production deployment preparation
  your_role: Build features with perfect context
instant_context:
  what_building: FAF - Fast AF Context extraction for Chrome
  tech_stack: Svelte/TypeScript/Vite
  main_language: TypeScript
  deployment: None
  key_files:
    - +page.svelte
    - +layout.svelte
    - app.html
    - package.json
    - tsconfig.json
context_quality:
  slots_filled: 13/21 (62%)
  ai_confidence: MODERATE
  handoff_ready: false
  missing_context:
    - CI/CD pipeline
    - Database
project:
  name: 🚀 FAF - Fast AF AI Context Extraction
  goal: Chrome Extension for FAF context extraction
  main_language: TypeScript
  generated: 2025-09-26T12:25:56.394Z
  mission: 🚀 Make Your AI Happy! 🧡 Trust-Driven 🤖
  revolution: 30 seconds replaces 20 minutes of questions
  brand: F1-Inspired Software Engineering - Championship AI Context
ai_instructions:
  priority_order:
    - 1. Read THIS .faf file first
    - 2. Check CLAUDE.md for session context
    - 3. Review package.json for dependencies
  working_style:
    code_first: true
    explanations: minimal
    quality_bar: zero_errors
    testing: required
  warnings:
    - Never modify dial components without approval
    - All TypeScript must pass strict mode
    - Test coverage required for new features
stack:
  frontend: Svelte
  css_framework: slotignore
  ui_library: slotignore
  state_management: Svelte stores
  backend: slotignore
  runtime: Chrome Extension (Manifest V3)
  database: slotignore
  build: Vite
  package_manager: npm
  api_type: REST
  hosting: slotignore
  cicd: GitHub Actions (typecheck, lint, build)
  connection: slotignore
preferences:
  quality_bar: zero_errors
  commit_style: conventional_emoji
  response_style: concise_code_first
  explanation_level: minimal
  communication: direct
  testing: required
  documentation: as_needed
state:
  phase: development
  version: 1.0.0
  focus: production_deployment
  status: green_flag
  next_milestone: npm_publication
  blockers: null
tags:
  auto_generated:
    - -faf---fast-af-ai-context-extr
    - svelte
    - typescript
    - vite
    - none
  smart_defaults:
    - .faf
    - ai-ready
    - 2025
    - web-app
    - open-source
  user_defined: null
human_context:
  who: Frontend developers
  what: "universal problem every developer faces: **providing AI assistants with the right context**"
  why: Developers re-explain their stack to every AI tool; one-click extraction hands any AI the right context instantly — 100% local, zero network
  where: Browser — injected on dev sites (GitHub, GitLab, StackBlitz, CodeSandbox)
  when: Whenever a developer needs to give an AI assistant (Claude, Cursor, Gemini, Codex) a repo's full context
  how: Browse to any repo or web editor, click to extract the stack, then download or copy a .faf.txt — human summary plus full AI-ready context
  additional_context: null
  context_score: 0
  total_prd_score: 68
  success_rate: 50%
ai_scoring_details:
  system_date: 2025-08-30
  slot_based_percentage: 62
  ai_score: 68
  total_slots: 21
  filled_slots: 13
  scoring_method: Honest percentage - no fake minimums
  trust_embedded: COUNT ONCE architecture - trust MY embedded scores