28 skills found
PurCL / CodeLLMPaperA continuously updated collection of CodeLLM papers maintained by PurCL group @ Purdue
FSoft-AI4Code / HyperAgentGeneralist Software Agents to Solve Soware Engineering Tasks
tongye98 / Awesome Code BenchmarkA comprehensive code domain benchmark review of LLM researches.
juyongjiang / CodeLLMSurvey[TOSEM'25] The official GitHub page for the survey paper "A Survey on Large Language Models for Code Generation".
FSoft-AI4Code / CodeCapybaraOpen-source Self-Instruction Tuning Code LLM
TIGER-AI-Lab / AceCoderThe official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25]
Humanity-s-Last-Code-Exam / HLCE(EMNLP 2025 Findings) Source Evaluation scripts for Humanity's Last Code Exam
lambdasec / AutogrepAutogrep automates Semgrep rule generation and filtering by using LLMs to analyze vulnerability patches, enabling automatic creation of high-quality security rules without manual curation.
FSoft-AI4Code / XMainframeLanguage Model for Mainframe Modernization
yiyepiaoling0715 / Codellm Data Preprocess Pipeline代码大模型 预训练&微调&DPO 数据处理 业界处理pipeline sota
gtanczyk / GenaicodeGenAIcode is a multi modal coding assistant implemented entirely in TypeScript/Node.js/React. It works with multiple LLMs. It can be used as a CLI tool or via GUI(local web).
crazycth / WizardLearnerPretrain、decay、SFT a CodeLLM from scratch 🧙♂️
laziobird / CodeLLMEvalEvaluation based on programming scenarios
gdg94 / Codellmpersonalizecode for project llm-personalize
codellm-devkit / Python SDKThe official Python SDK for Codellm-Devkit
jie-jw-wu / Survey CodeLLM4LowResource DSLA Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages
yingweima2022 / CodeLLMNo description available
jie-jw-wu / Human Eval CommHumanEvalComm: Evaluating Communication Skill of Code LLM and LLM Agent
microsoft / TestExploraThis is an official code for the paper: TestExplora: Benchmarking LLMs for Proactive Bug Discovery via Repository-Level Test Generation
turtacn / PersonalAIPersonalAI：a guideline for Product R&D people using generative AI
