CodePilot AI logoCodePilot
Enterprise · Agentic AI

CodePilotby design.

Nine specialized AI agents — orchestrated with LangGraph and grounded in a ChromaDB vector store — that analyze, review, secure, test, document, and reason about your GitHub repositories on demand.

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Density
Abstract

CodePilot AI unifies repository understanding, code review, security auditing, testing, documentation, debugging, architecture reasoning, and analytics into a single agentic workspace. Each agent runs independently against a shared, repo-scoped RAG context — producing structured findings you can act on.

The problem

Modern engineering teams juggle fragmented tools for review, security, docs, and testing. General-purpose copilots lack repo-aware memory and enterprise-grade reasoning. CodePilot AI closes that gap with a purpose-built multi-agent architecture.

Capabilities

A premium agentic engineering surface

LangGraph orchestration
Deterministic multi-agent workflows with typed state transitions and per-agent memory.
RAG over your code
Repository-aware retrieval powered by ChromaDB embeddings and semantic chunking.
Enterprise posture
Security, testing, and architecture agents surface risks before they reach production.
Model-agnostic inference
Runs on the Lovable AI Gateway with Gemini and GPT models for structured outputs.
Nine specialized agents
From code review to debug to analytics — each agent has its own prompt, tools and schema.
Structured findings
Every run returns typed, structured findings ready for dashboards, PRs and pipelines.
Live demo

Watch the agentic workflow animate

Prompt or repository
owner/repo · or a natural-language task
0/10 steps · 0%
Note
This is an animated visualization of the orchestrator. For a real analysis, connect a repository from the dashboard.
codepilot · orchestrator
idle
  1. 01
    Verify repository
    …
    GET https://api.github.com/repos/vercel/next.js → 200 OK
  2. 02
    Ingest source tree
    …
    Crawling files · filtering binaries · language detection
  3. 03
    Chunk & embed
    …
    512-token chunks → ChromaDB · repo-scoped namespace
  4. 04
    Build LangGraph state
    …
    Typed state · 9 agent nodes · retriever tools bound
  5. 05
    Code Review agent
    …
    Severity scoring across style, safety and complexity
  6. 06
    Security Audit agent
    …
    Secrets · CWE mapping · dependency CVEs
  7. 07
    Architecture agent
    …
    Mermaid diagram · data flow · service boundaries
  8. 08
    Test Generator agent
    …
    Coverage gaps · unit + integration scaffolds
  9. 09
    Documentation agent
    …
    README · module docs · public API surface
  10. 10
    Emit structured findings
    …
    Typed JSON · ready for dashboards, PRs & pipelines
Modules

Nine specialized agents

Open dashboard →
Repo Analyzer
RPO

Scans directory hierarchies, detects programming languages, frameworks, entry points, and dependency files. Produces a component overview grounded in your actual repository.

Code Review
REV

Reviews sampled source files for smells, SOLID violations, complexity hotspots, and proposes concrete patches with severity ratings.

Chat Assistant
RAG

Answers questions grounded in retrieved chunks of your repository. This preview returns example questions plus a concise answer to the current prompt.

Documentation
DOC

Identifies missing documentation and drafts concrete additions — README sections, API descriptions, and inline comment suggestions.

Security Audit
SEC

Scans sampled files for OWASP Top 10 categories, hard-coded secrets, unsafe patterns, and injection sinks. Returns severity-tagged findings.

Test Generator
TST

Identifies coverage gaps and proposes concrete test cases — unit and integration — with clear intent per case.

Debug Assistant
DBG

Hypothesizes likely runtime failure hotspots and race conditions, and explains why each spot is risky.

Architecture
ARC

Describes modules, entry points, and the data flow between them. Useful as a starting map for onboarding.

Analytics
ANL

Aggregates repository health, maintainability, security posture, and test-coverage signals into a compact scorecard.

Workflow

From repository to actionable intelligence

  1. 01
    Connect
    Paste a public GitHub URL. CodePilot validates and ingests the repository.
  2. 02
    Index
    Files are chunked, embedded, and stored in a repo-scoped ChromaDB collection.
  3. 03
    Run
    Trigger any of the nine agents individually with full or reduced detail.
  4. 04
    Act
    Structured findings — reviews, risks, tests, docs, and diagrams — ready to use.
Trust & security

Built for enterprise posture

Read-only. Session-scoped. Auditable.

CodePilot AI treats your repositories as sensitive input. Access is read-only, memory is per-session, secrets stay on the server, and every finding ships as structured JSON so it can be reviewed, logged and gated in a pipeline.

Read-only GitHubSession-scoped RAGServer-only keysTyped findings
Zero write access
CodePilot reads public repositories over HTTPS. It never pushes code, opens PRs, or mutates your repo.
Session-scoped memory
Embeddings and findings are namespaced to a session and can be discarded at any time.
Server-only secrets
Model keys live server-side on the AI Gateway. Nothing sensitive is ever shipped to the browser.
Structured, auditable
Every finding is typed JSON with severity, evidence, and rationale — trivial to log and review.
Under the hood

A modern, model-agnostic stack

Frontend
React 19 · TanStack Start · Tailwind v4
Backend
Server functions · Edge runtime
Agents
LangChain · LangGraph · 9 modules
Memory
ChromaDB · Repo-scoped RAG
Models
Gemini 1.5 · GPT-4 class via AI Gateway
Data
Lovable Cloud · Session tracking
Start in 60 seconds

Turn any repository into engineering intelligence.

Connect a public GitHub URL, choose an agent, and get structured findings — reviews, risks, tests, docs and diagrams — grounded in your own code.

Connect your repoMeet the agents