What is aminer.codegeex?

62/100
Trust Score (C+)
⚠️ Use Caution

aminer.codegeex is a vscode that CodeGeeX is an AI-based coding assistant, which can suggest code in the current or following lines. It is powered by a large-scale multilingual code generation model with 13 billion parameters, pretr. It has a Nerq Trust Score of 62/100 (C+). 0 GitHub stars. Published by Zhipu AI. Last analyzed April 2026.

Why This Score

Trust & Safety Overview

62
TRUST SCORE
C+
GRADE
0
STARS
0
DOWNLOADS

What aminer.codegeex Does

aminer.codegeex is a vscode in the vscode category. CodeGeeX is an AI-based coding assistant, which can suggest code in the current or following lines. It is powered by a large-scale multilingual code generation model with 13 billion parameters, pretrained on a large code corpus of more than 20 programming languages.. It is published by Zhipu AI and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use aminer.codegeex

aminer.codegeex is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorZhipu AI
Categoryvscode
LicenseNot specified
Typevscode
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=aminer-codegeex

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is aminer.codegeex used for?
aminer.codegeex is a vscode tool. CodeGeeX is an AI-based coding assistant, which can suggest code in the current or following lines. It is powered by a large-scale multilingual code generation model with 13 billion parameters, pretr.
Is aminer.codegeex free?
License: Check project page. aminer.codegeex has 0 GitHub stars.
Is aminer.codegeex safe?
aminer.codegeex has a Nerq Trust Score of 62/100 (C+). Use with caution.
What are alternatives to aminer.codegeex?
Top alternatives: . See full comparison.

Last updated April 2026. Trust scores based on automated analysis of public data.

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