jonathanmagnan / awesome-ai-coding

Awesome AI Coding

Awesome-AI-Coding

A list of of AI coding topics.

Open a pull request to add or edit this list.

Projects

• BigCode: open scientific collaboration run by Hugging Face.
• Fauxpilot: Code completion server with CodeGen.
• CodeGPT.nvim: ChatGPT in neovim.
• org-ai: Emacs org-mode with OpenAI APIs.
• Autodoc: Generate codebase documentation use LLM (OpenAI / Alpaca)
• CodeAlpaca: LLaMA trained on code instruction following.
• 🐾 Tabby: An opensource / on-prem alternative to GitHub Copilot.
• e2b: Opensource IDE powered by AI agents.
• promptr: CLI tool to operating on your codebase using GPT.
• ChatIDE: Extension let you talk to ChatGPT inside VSCode.
• PromptMate: VSCode extension embed ChatGPT.
• TurboPilot: CPU based copilot clone
• CodeCapybara: Open Source LLaMA Model that Follow Instruction-Tuning for Code Generation.
• CodeTF: A One-stop Transformer Library for State-of-the-art Code LLM
• Rift: A opensource LSP leveraging edge language model.

Datasets

• The Pile
• The Stack
• CodeContests
• CodeSearchNet
• The Vault

LLM Models

• PolyCoder 160M/400M/2.7B
• CodeGen 350M/2B/6B/16B
• TransCoder
• CodeGeeX 13B
• SantaCoder 1.1B
• InCoder 1B/6B
• replit-code-v1-3b
• StarCoder 15B
• CodeGen2
• CodeT5 / CodeT5+

Embedding Models

• CodeBERTa

Papers & Blogs

• Competition-level code generation with AlphaCode
• RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation
  • Combined LLM completion and CodeSearch
  • CodeGen-350M + BoW based snippet search beat Codex
• Repository-Level Prompt Generation for Large Language Models of Code
  • Generate proposals candidates based with prios, e.g imports, files from same dirs.
  • Use a proposal candidate classifier to select based proposals for LLM.
• ML-Enhanced Code Completion Improves Developer Productivity
  • 500M Encoder-Decoder based model, fine tuned on Google's monorepo.
  • 34% acceptance rate for multi-line code completion suggestions.
• Sparks of Artificial General Intelligence: Early experiments with GPT-4: Chapter 3 on coding scenario. Chat UX.
• Efficient Training of Language Models to Fill in the Middle: Train decoder-only model with suffix context using a special token.
• Toolformer: Language Models Can Teach Themselves to Use Tools: LLM as API glue layer.
• CodeCompose: A Large-Scale Industrial Deployment of AI-assisted Code Authoring
  • deployed as single line code completion to reduce latency to 300ms - 500ms.
  • 1.3B parameter size.
  • fine-tuning improves accuracy / bleu by 50% - 100%.

Products & Startups

• Copilot + Copilot X
• Codeium
• CodeComplete.AI
• Codify refact.ai
• Cody
• Amazon Codewhisperer
• Replit Ghostwrite
• Tabnine
• AiXCoder
• Turin Tech
• Cursor
• Buildt
• Safurai
• phind
• AskCodi
• MutableAI
• Machinet
• BlackBox
• MetaBob

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