onur-gokyildiz-bhi

onur-gokyildiz-bhi / codescope

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Rust-native code intelligence engine powered by SurrealDB knowledge graphs. 99%+ token savings for AI coding assistants.

13
1
100% credibility
Found Apr 06, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Creates a local knowledge graph from codebases and configs to enable efficient AI-assisted code queries and analysis.

How It Works

1
🕵️ Discover Codescope

You hear about a helpful tool that makes AI assistants understand your entire codebase instantly without wasting time reading every file.

2
📥 Get it running

Download the ready-to-use app that works on your computer with no complicated setup.

3
📁 Pick your project

Point it to your codebase folder so it knows what to explore.

4
⚡ Build your code map

It quickly scans files, connects functions and classes, and creates a smart overview of your whole project.

5
🤖 Link your AI helper

Connect it to your favorite AI chat like Claude with a simple setup script.

6
❓ Ask smart questions

Use easy commands or natural chat to find callers, big functions, or change impacts.

🚀 Master your code

You now get lightning-fast insights into your project's structure, saving tons of time and tokens.

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Star Growth

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AI-Generated Review

What is codescope?

Codescope is a Rust-native code intelligence engine powered by SurrealDB knowledge graphs. It indexes codebases across 44 formats—35 languages plus configs, docs, and infra—extracting functions, calls, structs, and relations for fast queries. Developers get 99%+ token savings for AI coding assistants, per codescope benchmark on repos like ripgrep and tokio, by querying graphs instead of dumping full files.

Why is it gaining traction?

Zero external deps: single binary runs CLI (index/search/query/stats), MCP server (45 tools like find_callers/impact_analysis/semantic_search), and web UI. Rust native code delivers blazing index speeds and git history analysis (churn/coupling/hotspots). Bonus: auto-indexes Claude sessions into conversation memory, linking decisions/problems to code entities.

Who should use this?

AI coding devs on Claude Code or Cursor fighting token limits during refactoring or debugging. Backend teams mapping call graphs/HTTP links across services. Solo maintainers auditing large Rust/TS/Python repos for unused code or contributor expertise.

Verdict

Strong start with killer benchmarks and agent integration, but 13 stars and 1.0% credibility score mean it's pre-maturity—docs shine, yet expect rough edges. Trial it on a real project; token wins could hook you fast.

(187 words)

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