Loading...
From complete code graph indexing to AI-powered analysis and feature discovery with deep expansion. Explore all capabilities with interactive demos.
See the difference in depth and completeness between manual documentation and automated extraction.
Manual Process
Incomplete & Error-Prone
Partial Coverage
Developers document ~10% of codebase, miss critical dependencies
Human Error
Outdated notes, missed connections, forgotten context
No Commit Context
Lost knowledge when developers leave
Coverage
~10%
Boostr
Complete & Accurate
Files
0
Symbols
0
Dependencies
0
Commits
0
Coverage
0%
Every file, symbol, and dependency analyzed
100%
Coverage
0
Errors
Always
Up-to-date
Specific features that solve real problems. Here's what you can actually do.
You ask:
"Show me all authentication code"
You get:
Found 23 files in 0.8 seconds: • src/lib/auth.ts - login(), logout(), validateSession() • src/middleware/authMiddleware.ts - 5 functions • src/components/LoginForm.tsx - UI components With commit context: Last modified by Alice, 3 days ago, 45 total commits
You ask:
"Who knows the payment system?"
You get:
Top Contributors: • Alice - 45 commits, expert level, active (last week) • Bob - 12 commits, advanced, recent (last month) • Carol - 8 commits, intermediate Primary files: PaymentService.ts, StripeIntegration.ts Contact Alice for architecture questions
You ask:
"What breaks if I change auth.ts?"
You get:
Impact Analysis: • 15 files import from auth.ts • 23 function calls across codebase • Co-changed with: middleware.ts (85% confidence) • Risk: MEDIUM (12 commits, 4 bug fixes in 3 months) Downstream: LoginForm, Dashboard, API routes
You ask:
"How does peer verification work?"
You get:
Peer verification is implemented in ParameterVerificationService.java: 1. User sends for verification (sendForPeerVerification) 2. Assigned peer reviews (acceptPeerVerification) 3. State transitions: PENDING → ACCEPTED/REJECTED Built by Anjali (initial), enhanced by Siba Key files: [ParameterVerificationService.java], [VerificationBase.java]
You ask:
"What features does my codebase have?"
You get:
Discovered 23 features from your code: 1. User Authentication - Login, signup, OAuth Routes: /api/auth/*, /login, /signup Files: AuthService.ts, LoginForm.tsx DB: users table 2. Project Management - Create, index, analyze 3. Workspace Chat - AI-powered code Q&A ... and 20 more Click 'Expand with AI' for deep analysis of any feature
You ask:
"Is PaymentService.ts stable?"
You get:
Stability Analysis: • Total commits: 23 • Last 3 months: 8 commits (high activity) • Bug fixes: 35% (moderate stability) • Change frequency: MEDIUM • Risk level: MEDIUM Recommendation: Add tests before refactoring
Type a question or click a suggestion to see how Boostr searches and analyzes your code in real-time.
Type a question or click a suggestion to start
AI analyzes your complete code graph (routes, files, symbols, commits, database schema) to discover existing features and expand them with deep technical insights.
CODE GRAPH EXTRACTED
Complete code graph: every file, symbol, dependency, commit, and database entity indexed.
AI DISCOVERS 23 FEATURES
Phase 1: Extract feature names from commits
Phase 2: Map features to routes, files, symbols
DEEP ANALYSIS GENERATED
PLUS
Features Extracted From YOUR Actual Code
AI doesn't make assumptions. It discovers features by analyzing routes, files, symbols, commits, and database schema—then expands each feature with factual architectural insights extracted from your indexed code graph.