Best AI Coding Assistants for GitHub Copilot

The AI-first code editor. Create software faster with an editor that is designed for AI-paired programming. With just one click, you can migrate all of your favorite vscode extension with local options to work on security-critical projects. Cursor is a clone of VSCode. Import all of your extensions, themes and keybindings with just one click. Local mode does not store any data on our servers or logs. Avoid searching for code that is tailored to your repository. Save time searching for the right method or place to start a new change. Directly refer to documentation, code definitions and files. With a single prompt, you can change an entire class or method. Create code from scratch using a simple command. Cursor will scan your code and help you quickly fix any bugs.

Code faster. Stay in the Flow. Kite gives developers superpowers by adding AI-powered code completions to their code editor. Kite can be downloaded to add Kite's AI-powered code completions to all of your code editors. Kite supports more than 16 languages and 16 code editors. You will experience lightning fast code completions that are context-aware. Your code editor has superpowers and can complete multi-line lines faster than you would normally. Stay in flow and code faster. Kite's AI can reduce keystrokes by up to 47% in this example. With just one click, you can view Python docs. You can also find helpful examples and how tos. Find files in your codebase that might be related to the file you are currently coding in. This will make thousands of developers more productive.

IntelliSense refers to a variety of code editing features, including code completion, parameter information, quick info and member lists. IntelliSense features can also be called "code completion", content assist", and code hinting. Visual Studio Code IntelliSense can be used for JavaScript and TypeScript, JSON HTML, CSS, SCSS and Less. VS Code supports word-based completions for all programming languages. However, you can also configure VS Code to have richer IntelliSense through installing a language extension. A language service powers VS Code IntelliSense. Language services provide intelligent code completions that are based on language semantics as well as an analysis of your source code. The IntelliSense suggestions will appear as you type if a language service knows about possible completions. Continue typing characters and the list of members (variables or methods, etc.) will be filtered to only include characters that you have typed. Filtered to only include members that contain your typed characters

Zed is the next-generation code-editor designed for high-performance collaborative work with humans and AI. Rust was used to create a code editor that can efficiently utilize multiple CPU cores as well as your GPU. Integrate future LLMs into workflows to generate, analyze, and transform code. Chat with colleagues, share your screen, and write notes together. Multibuffers combine code excerpts from different codebases into one editable surface. Jupyter runtimes allow you to evaluate code inline and edit notebooks collaboratively. Support for multiple languages via Tree-sitter and WebAssembly. Zed's AI and language-aware task runners are tightly integrated with Zed’s native fast terminal. Vim bindings provide first-class modal editor, including text objects and marks. Zed is a product of a global developer community. Choose from hundreds of extensions to enhance your Zed experience. These include themes, language support and more.

Warp is a Rust-based terminal that's lightning fast. It was reimagined from scratch to work like an app. Fully native Rust-based terminal. No web-tech or Electron. All cloud features can be turned on or off. All data is encrypted at rest. Warp works right out of the box using zsh and fish. You should feel like you are typing code. Your terminal shouldn't feel like 1978 when you write code. You can edit your commands in a modern editor with selections and cursor positioning. Our GPT-3 powered AI search can convert natural language into executable commands. It's a terminal version of GitHub Copilot. Navigate through your terminal command by command. Copy the output in one click. A simple GUI allows you to access common workflows. You can create your workflows and share them with your colleagues.

AI that understands your codebase. Chat with your codebase, or build AI assistants for different parts of your repository and deploy them wherever your work -- Slack. Github Copilot. Jira, and more. Depth AI creates a comprehensive knowledge map of your codebase to enable it to answer complex technical questions. Your AI assistants can be deployed anywhere your team works. Integration with existing tools and workflows. Create custom assistants, and deploy them into your workflows. Create specialised assistants by selecting specific files and folders in your repository. Chat with them using our webapp, or deploy to Slack or Github. Ensure your data is safe and secure with enterprise-grade security features and compliance.

AppMap Navie is an AI-powered tool designed to assist developers in enhancing their coding processes by offering real-time insights and solutions. It combines both static and dynamic code analysis to help developers understand their applications more thoroughly and optimize their code. Integrated directly into development environments, Navie supports secure, enterprise-level deployment and can work with tools like GitHub Copilot or custom language models. The platform delivers intelligent recommendations by analyzing key elements like HTTP requests, function parameters, and database queries, streamlining debugging and improving overall application efficiency. With AppMap Navie, developers can tackle complex coding challenges and elevate the quality of their projects with ease.

Transform your project idea into clear, structured documentation. AI coding assistants such as Cursor and GitHub Copilot can understand your vision to generate more precise and context-aware codes.

You can quickly write code by translating your comments to code. This example shows how you can quickly create a Plotly Bar chart. You can quickly create entire functions without needing to search for parameters or library methods. This example shows how to load df from AWS bucket in parquet format. CodeSquire will allow you to create SQL queries. All you need to do is provide simple instructions about what you want to pull and join. CodeSquire can help you understand code from another person. Simply ask CodeSquire to explain the function and get your explanation in plain English. CodeSquire can help with complex functions that require multiple logic steps. You can brainstorm with it by starting small and adding more complex features along the way.