CLOUDM0N
Repository intelligence

tirth8205/code-review-graph

GitHub

This project solves the token overhead problem when using Claude Code on large codebases by building a persistent knowledge graph that helps the AI understand only the relevant parts of your code. With impressive metrics like 6.8× fewer tokens on reviews and up to 49× reduction on daily coding tasks, it's a must-have tool for developers working with Claude Code on medium to large-scale projects.

CLOUDM0N decision
REVIEW BEFORE ADOPTION
Trust REVIEW · 80/100
Good fit if

Teams whose requirements match this repository’s core capability.

Watch out for

Review deployment and security evidence before production adoption.

Practical intelligence

What matters before you adopt it

Best for
Teams whose requirements match this repository’s core capability.
Main trade-offs
Review deployment and security evidence before production adoption.
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
2
CLOUDM0N scanner findings
Critical
0
High
0
Medium
2
Low
0
View trust evidence & security findings▼
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
MEDIUM
Dynamic code execution pattern detected. 5 sample match(es) found.
MEDIUM
The project can spawn operating-system processes; review command construction and input handling. 5 sample match(es) found.
Architecture from code10 modules · 2 edges▼
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
214
Modules
10
Dependency edges
2
Core modules
code-review-graph-vscode
19 files
code_review_graph
73 files
diagrams
1 files
scripts
3 files
Dependency flow
scripts→code_review_graph
Detected languages
Python · TypeScript · C · Java · C++ · Shell · Go · JavaScript · C# · Kotlin · PHP · Ruby · Rust · SQL · Scala · Swift
Detected frameworks
—
Architecture evidence details
flowchart TD
    %% code-review-graph — high-level architecture (DRAFT, refine me)
    n0["code-review-graph-vscode · 19 files"]
    n1["code_review_graph · 73 files"]
    n2["diagrams · 1 file"]
    n3["scripts · scripts · 3 files"]
    n4["tests · tests · 118 files"]
    n3 --> n1
    n4 --> n1
    class n3 infra
    class n4 test
    classDef infra fill:#b35c00,color:#ffffff,stroke:#8f4a00
    classDef test fill:#499894,color:#ffffff,stroke:#397975
Agent handoff
Use with any agent
JSON API
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