AI CODEBASE INTELLIGENCE PLATFORM

Understand any codebase in minutes, not days.

AI-powered code retrieval that combines semantic search, dependency graphs, and RAG to explain how large JavaScript and TypeScript systems actually work.

View GitHubWatch Demo
Ask your codebase anything
⌘ K
How does authentication flow through this app?
Searched 1,284 files • traced 17 dependencies

Authentication starts in middleware.ts, where the session token is validated. Protected routes delegate to auth/session.ts before user context is passed into the application shell.

middleware.tsauth/session.tsapp/layout.tsx
Grounded answer98% relevance
1,200+
files indexed
2x
better retrieval relevance
60%
fewer redundant embeddings
Cross-file
dependency tracing
Features

Everything needed to understand complex codebases.

01

Semantic Code Search

Search code by intent, not just keywords, using OpenAI embeddings and vector search.

02

Dependency Graph Retrieval

Trace imports, function calls, and execution paths across multiple files using AST-based analysis.

03

RAG-Powered Answers

Generate context-aware explanations grounded in actual source code instead of hallucinated summaries.

04

Incremental Indexing

Detect file changes and re-index only modified chunks to reduce embedding cost and processing time.

How it works

From repository to intelligent answers.

I.

Connect Repository

Upload or connect a JavaScript/TypeScript repository.

II.

Index & Understand

Parse files with Tree-sitter, generate embeddings, store vectors, and build a dependency graph.

III.

Ask Questions

Ask questions like "How does authentication work?" and receive source-grounded answers with related files.

query.ts
TypeScript
const answer = await codeIntel.ask({
  question: "How does authentication work?",
  repoId: "repo_8f21a",
  includeDependencies: true,
});

// Source-grounded answer + related files
console.log(answer);
Response grounded in 8 source files
Architecture

Built like a production AI system.

A modular retrieval pipeline designed for reliable indexing, grounded generation, and production-scale workloads.

01
Next.js Frontend
Interface
02
NestJS / Node.js API
Application layer
03
LangGraph Agent Layer
Orchestration
04
OpenAI Embeddings
Semantic signal
05
Pinecone Vector DB
Vector retrieval
06
Redis Cache
Fast state
07
PostgreSQL Metadata Store
Repository data
08
Tree-sitter Dependency Graph
Code structure
Tool callingStreaming responsesStructured outputsIdempotent indexingBatched vector upsertsObservability-ready design
Live retrieval demo

Ask questions your codebase can actually answer.

Code Intelligence AI
repository / commerce-app
You

How does checkout create an order and trigger payment?

AI answer

Checkout starts in CheckoutPage.tsx, calls createOrder(), then routes through OrderService.ts, StripeService.ts, and webhookHandler.ts. The payment status is updated after Stripe webhook verification.

Related files
CheckoutPage.tsxorder.controller.tsorder.service.tsstripe.service.tswebhook.handler.ts
Technology

Production-ready stack.

Next.js
TypeScript
Tailwind CSS
Node.js
NestJS
OpenAI API
Pinecone
Redis
PostgreSQL
Tree-sitter
LangGraph
Docker
GitHub Actions
AWS

Explore the implementation.

Review the architecture, see the product flow, or get in touch to discuss the engineering behind it.

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