Graph-backed repository intelligence

Understand the codebase before you change it.

Point at any GitHub repository. Extract structure, flows, prompts, interfaces, ownership, and operational details into a Dgraph-backed knowledge workspace you can revisit.

Browse Codebase

Relationship-aware extraction

Turn repository structure into reusable graph records for services, flows, prompts, ownership, and runtime paths.

Direct Dgraph persistence

Write extracted knowledge into Dgraph immediately so your codebase stays queryable after every scan.

Operational confidence

Validate the endpoint before running a scan and keep every analysis in a single, navigable workspace.

Knowledge tables

Dgraph

Persistence

T1–T5

Selection tiers

Live

Scan progress

Repository analysis

Configure your scan

Choose a scan depth, connect your Dgraph endpoint, and run analysis with the model that matches your speed and quality needs.

Captured outputs

Components and hooks

Services and DI seams

API call signatures

IPC channels

Prompt templates

Feature flows

Error paths

Import graph

User journeys

Test scenarios

Security rules

Performance metrics

About

Codebase Intelligence is built to compress onboarding and change analysis. It focuses on structural extraction, not code generation guesses, so you can inspect what the repository really exposes.

Pricing

Bring your own model key and Dgraph instance. The current workflow is optimized for self-hosted evaluation and internal tooling teams that want full control over cost and retention.

Contact

Need a tailored workflow or a production-ready rollout? Reach out at hello@codebaseintelligence.dev to discuss setup, adoption, and graph-backed code intelligence for your team.