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awesome-code-llm

github.com/codefuse-ai/awesome-code-llm ↗

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

3.4k
GitHub Stars
2.3k
Curated Resources
10
Categories
10 hours ago
Last Refreshed
News1. Surveys2. Models3. When Coding Meets Reasoning4. Code LLM for Low-Resource, Low-Level, and Domain-Specific Languages5. Methods/Models for Downstream Tasks6. Analysis of AI-Generated Code7. Human-LLM Interaction8. DatasetsOther Awesome LLM Reading Lists

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me 2.3 general pretraining on code resources from awesome-code-llm"

Installation instructions →

What's inside

2. Models

  • blog2.3 General Pretraining on Code

  • blog2.1 Base LLMs and Pretraining Strategies

  • blog2.1 Base LLMs and Pretraining Strategies

  • blog2.3 General Pretraining on Code

  • paper2.3 General Pretraining on Code

  • paper2.3 General Pretraining on Code

8. Datasets

5. Methods/Models for Downstream Tasks

3. When Coding Meets Reasoning

4. Code LLM for Low-Resource, Low-Level, and Domain-Specific Languages

6. Analysis of AI-Generated Code

Showing a sample of 2.3k resources. View the full list on GitHub →