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  2. Rubber duck debugging - Wikipedia

    en.wikipedia.org/wiki/Rubber_duck_debugging

    Rubber duck debugging. A rubber duck in use by a developer to aid debugging. In software engineering, rubber duck debugging (or rubberducking) is a method of debugging code by articulating a problem in spoken or written natural language. The name is a reference to a story in the book The Pragmatic Programmer in which a programmer would carry ...

  3. Devin AI - Wikipedia

    en.wikipedia.org/wiki/Devin_AI

    Devin AI is an autonomous artificial intelligence assistant tool created by Cognition Labs. Branded as an "AI software developer ", [ 1] the demo tool is notable for its software development abilities, including plan implementation, source code generation, and benchmark unit testing. The tool has received praise, concern, and skepticism over ...

  4. Visual Studio Code - Wikipedia

    en.wikipedia.org/wiki/Visual_Studio_Code

    Visual Studio Code. Visual Studio Code, also commonly referred to as VS Code, [ 10] is a source-code editor developed by Microsoft for Windows, Linux, macOS and web browsers. [ 11][ 12] Features include support for debugging, syntax highlighting, intelligent code completion, snippets, code refactoring, and embedded version control with Git.

  5. LangChain - Wikipedia

    en.wikipedia.org/wiki/LangChain

    LangChain.com. LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.

  6. Replit - Wikipedia

    en.wikipedia.org/wiki/Replit

    The announcement of Replit AI's public release states, "Replit will become a synonym of AI for software creators -- only then we will have accomplished our mission." [28] Replit's FAQ states the algorithms were trained on public code. All public code hosted on Replit is subject to the MIT license and may be used to train machine learning models ...

  7. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI. Introduced in 2019, [1] T5 models are trained on a massive dataset of text and code using a text-to-text framework. The T5 models are capable of performing the text-based tasks that they were pretrained for.

  8. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.

  9. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    OpenAI Codex is an artificial intelligence model developed by OpenAI. It parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool for select IDEs, like Visual Studio Code and Neovim. [ 1] Codex is a descendant of OpenAI's GPT-3 model, fine-tuned for use in programming applications.