Best AI tools for< Code Completion >

Google Colab Copilot is an AI tool that integrates the GitHub Copilot functionality into Google Colab, allowing users to easily generate code suggestions and improve their coding workflow. By following a simple setup guide, users can start using the tool to enhance their coding experience and boost productivity. With features like code generation, auto-completion, and real-time suggestions, Google Colab Copilot is a valuable tool for developers looking to streamline their coding process.

AskCodi is an AI-powered coding assistant designed to enhance developer productivity and efficiency. It offers a range of features, including AI-powered chat, workbooks, and integrations, to streamline coding tasks and improve code quality. AskCodi is trusted by developers worldwide for its ability to automate repetitive processes, provide real-time code suggestions, and enhance overall coding performance.

Lore macOS GPT-LLM Playground is an AI tool designed for macOS users, offering a Multi-Model Time Travel Versioning Combinatorial Runs Variants Full-Text Search Model-Cost Aware API & Token Stats Custom Endpoints Local Models Tables. It provides a user-friendly interface with features like Syntax, LaTeX Notes Export, Shortcuts, Vim Mode, and Sandbox. The tool is built with Cocoa, SwiftUI, and SQLite, ensuring privacy and offering support & feedback.

Zencoder is an intuitive AI coding agent designed to assist developers in coding tasks by leveraging advanced AI workflows and intelligent systems. It offers features like Repo Grokking for deep code insights, AI Agents for streamlining development processes, and capabilities such as code generation, chat assistance, code completion, and more. Zencoder aims to enhance software development efficiency, code quality, and project alignment by integrating seamlessly into developers' workflows.

CodeNext.ai is a premier AI assistant designed for Xcode developers, offering context-aware code autocompletion and agentic chat capabilities. It supports leading LLMs and provides features like autocomplete, chat agents for coding questions, custom chat plugins, compatibility with various LLMs, scopes for accuracy, and dark theme customization. CodeNext aims to enhance coding efficiency and productivity by providing intelligent code suggestions and natural language interactions within the Xcode environment.

Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features: * Self-contained, with no need for a DBMS or cloud service. * OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE). * Supports consumer-grade GPUs.

Twinny is a free and open-source AI code completion plugin for Visual Studio Code and compatible editors. It integrates with various tools and frameworks, including Ollama, llama.cpp, oobabooga/text-generation-webui, LM Studio, LiteLLM, and Open WebUI. Twinny offers features such as fill-in-the-middle code completion, chat with AI about your code, customizable API endpoints, and support for single or multiline fill-in-middle completions. It is easy to install via the Visual Studio Code extensions marketplace and provides a range of customization options. Twinny supports both online and offline operation and conforms to the OpenAI API standard.

CodeGPT is an extension for JetBrains IDEs that provides access to state-of-the-art large language models (LLMs) for coding assistance. It offers a range of features to enhance the coding experience, including code completions, a ChatGPT-like interface for instant coding advice, commit message generation, reference file support, name suggestions, and offline development support. CodeGPT is designed to keep privacy in mind, ensuring that user data remains secure and private.

Mastering GitHub Copilot for AI Paired Programming is a comprehensive course designed to equip you with the skills and knowledge necessary to harness the power of GitHub Copilot, an AI-driven coding assistant. Through a series of engaging lessons, you will learn how to seamlessly integrate GitHub Copilot into your workflow, leveraging its autocompletion, customizable features, and advanced programming techniques. This course is tailored to provide you with a deep understanding of AI-driven algorithms and best practices, enabling you to enhance code quality and accelerate your coding skills. By embracing the transformative power of AI paired programming, you will gain the tools and confidence needed to succeed in today's dynamic software development landscape.

UMbreLLa is a tool designed for deploying Large Language Models (LLMs) for personal agents. It combines offloading, speculative decoding, and quantization to optimize single-user LLM deployment scenarios. With UMbreLLa, 70B-level models can achieve performance comparable to human reading speed on an RTX 4070Ti, delivering exceptional efficiency and responsiveness, especially for coding tasks. The tool supports deploying models on various GPUs and offers features like code completion and CLI/Gradio chatbots. Users can configure the LLM engine for optimal performance based on their hardware setup.

Opencode is an AI coding agent designed for the terminal. It is a tool that allows users to interact with AI models for coding tasks in a terminal-based environment. Opencode is open source, provider-agnostic, and focuses on a terminal user interface (TUI) for coding. It offers features such as client/server architecture, support for various AI models, and a strong emphasis on community contributions and feedback.

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