Best AI Coding Assistants for Mac - Page 2

Prototype faster, code smarter, and scale your productivity, available anytime, right on your desktop. Read, write, and update existing or new code, run terminal commands and read the output, use natural language to search the entire codebase, search the web for up-to-date information or documentation, and extract relevant information from websites. CodeCompanion writes code and runs commands for you, leaving you more time for important tasks. CodeCompanion app can create new apps from scratch. Or work on the existing codebase. Work together with AI or let AI-complete the entire task on its own. Whether you are working on a new or existing project the app can understand, modify, and write code. It can work with various programming languages and offers automatic coding and refining. CodeCompanion is capable of executing shell commands, automating various tasks like project setup, file creation, code updates, installations, or deployment, and answer based on your entire codebase.

We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI applications for software developers. Codestral is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash. It also performs well on more specific ones like Swift and Fortran. This broad language base ensures Codestral can assist developers in various coding environments and projects.

DeepSeek Coder is a cutting-edge software tool designed to revolutionize the landscape of data analysis and coding. By leveraging advanced machine learning algorithms and natural language processing capabilities, it empowers users to seamlessly integrate data querying, analysis, and visualization into their workflow. The intuitive interface of DeepSeek Coder enables both novice and experienced programmers to efficiently write, test, and optimize code. Its robust set of features includes real-time syntax checking, intelligent code completion, and comprehensive debugging tools, all designed to streamline the coding process. Additionally, DeepSeek Coder's ability to understand and interpret complex data sets ensures that users can derive meaningful insights and create sophisticated data-driven applications with ease.

Zed is a next-generation code editor designed for high-performance collaboration with humans and AI. Written from scratch in Rust to efficiently leverage multiple CPU cores and your GPU. Integrate upcoming LLMs into your workflow to generate, transform, and analyze code. Chat with teammates, write notes together, and share your screen and project. Multibuffers compose excerpts from across the codebase in one editable surface. Evaluate code inline via Jupyter runtimes and collaboratively edit notebooks. Support for many languages via Tree-sitter, WebAssembly, and the Language Server Protocol. Fast native terminal tightly integrates with Zed's language-aware task runner and AI capabilities. First-class modal editing via Vim bindings, including features like text objects and marks. Zed is built by a global community of thousands of developers. Boost your Zed experience by choosing from hundreds of extensions that broaden language support, offer different themes, and more.

The leading open-source AI code assistant. You can connect any models and any context to create custom autocomplete and chat experiences inside the IDE Remain in flow while coding by removing the barriers that block productivity when building software. Accelerate development with a plug-and-play system that makes it easy to get started and integrates with your entire stack. Become a leader in AI by setting up your code assistant to evolve as new capabilities emerge. Continue autocompletes single lines or entire sections of code in any programming language as you type. Attach code or other context to ask questions about functions, files, the entire codebase, and more. Highlight code sections and press a keyboard shortcut to rewrite code from natural language.

Supermaven lets you write code 2x faster with AI. Chat with GPT-4o, Claude 3.5 Sonnet, GPT-4, and other leading models. CheckUse hotkeys to quickly view diffs, apply changes, start conversations, and switch models. CheckEasily attach recently edited files to your messages - Supermaven Chat links the model's code responses back to your original code to show diffs and apply changes. CheckFix errors by automatically uploading your code together with compiler diagnostic messages in a single click.

Double is an AI-powered coding assistant inside of VSCode, designed to generate high quality code and assist you with programming tasks. Double is powered by the most capable commercially available LLMs, providing state of the art coding assistance. We will never waste your precious time with inferior models. Get code suggestions in real time as you type in the editor, press Tab to accept a suggestion and incorporate it into your code. The suggestions are personalized to your file's context and style conventions. Double's autocomplete is also handles multi-cursor mode, naming variables, mid-line completions, and automatically imports any relevant functions, variables, and libraries needed to run the code.

Unblocked augments code with context from Slack, Confluence, Jira (and more), so you get helpful answers without having to search for them. Getting answers from Unblocked doesn't require changes in how your team works or extra effort to set up and maintain. Simply connect your tools and you're ready to go. Because Unblocked understands your codebase, architecture, and internal practices, you get accurate answers quickly, without having to wait on or interrupt your teammates. Unblocked surfaces contextually relevant documents and past discussions for any open file, so you have the same knowledge as the teammates who wrote the code. Access to data across network layers is secured with encryption in transit and at rest using team-specific keys. Customer data is never used to train shared models. Unblocked helps new team members find the answers they need to so they can start contributing right away.

Ask questions or generate code with the context of your codebase for accurate results. This also works with choosing specific folders, online docs, terminal content, files, and more. PearAI can directly code in your files, and allow you to see diffs. Try CMD+I (CTRL+I on Windows). Here, we ask PearAI to help us add error handling and comments. Without writing a single line of code, we were able to make a new feature in an unfamiliar codebase: adding a documentation page to the PearAI landing page. Speed up your development process by seamlessly integrating AI into your workflow. PearAI's goal is to reduce the time it takes for an individual to go from idea to creation. Coding itself is a crucial tool in product development, and we believe that with the advancement of AI, it may drastically change over the coming years. We aim to build the environment that will encompass these changes, both in the short-term and long-term.

Visual Studio IntelliCode: AI-assisted development. IntelliCode saves you time by putting what you’re most likely to use at the top of your completion list. IntelliCode recommendations are based on thousands of open source projects on GitHub each with over 100 stars. When combined with the context of your code, the completion list is tailored to promote common practices. IntelliCode isn’t limited to statement completion. Signature help also recommends the most likely overload for your context. IntelliCode can provide recommendations based on your code and seamlessly share them across your team. With this preview feature, you can build a team model to provide recommendations on code that isn’t in the open source domain, such as methods on your own utility classes or domain specific library calls. Integrate our build task into your pipeline to keep your team completions up to date with repository changes.

StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.

Leave Artificial Intelligence to AIXcoder. Leave Real Intelligence to Human. The offline version is released! Your code is safe on your computer locally. AiXcoder works in smooth locally with state of art deep learning model compression techniques. The models are trained with a massive amount of open source code. And adapted to several areas. A search window is seamlessly integrated into IDE with the ability to search open-source code on GitHub. Deep learning is used to filter high-quality code as search results. Search API usage and examples. Search similar code to avoid duplicated coding. Project Level Personalized Training: Train models on personal project and computer. Enterprise Level Customized Training: Train models on code base and enterprise server. Based on standard model, personalized and customized training will learn the patterns and rules in your proprietary code.

71 handcrafted tools (generators, converters, encoders, etc...), 20 cheat-sheets and 65 code snippets for developers and designers, available in multiple platforms. DevBox works entirely offline, so you never have to worry bout sensitive data since it never leaves the app. All tools respond to your actions instantly, so you can always see the end result without delay. Plenty of viewers are there for you to quickly check out data in varius formats (CSV, JSON, JWT, etc). Formatters and converters are working as you type, download or copy is just one click away. DevBox has 20 cheat-sheets for codes, services and many CLI tools.

Studio Bot is your coding companion for Android development. It's a conversational experience in Android Studio that helps you be more productive by answering Android development queries. It's powered by artificial intelligence and can understand natural language, so you can ask development questions in plain English. Studio Bot can help Android developers generate code, find relevant resources, learn best practices, and save time. Studio Bot is still an early experiment, and might sometimes provide inaccurate, misleading or false information while presenting it confidently. Studio Bot might give you working code that doesn't produce the expected output, or provide you with code that is not optimal or incomplete. Always double-check Studio Bot's responses and carefully test and review code for errors, bugs, and vulnerabilities before relying on it. Studio Bot's new capabilities can help you by offering new ways to write code, create test cases, or update APIs.

Firebender is an AI-powered tool designed to assist developers in Android Studio by streamlining the coding process and improving productivity. It helps automate code generation, debug issues, and optimize Android application development. Firebender intelligently interprets coding patterns, suggests efficient solutions, and can even provide real-time fixes for errors, making the development cycle faster and less prone to mistakes. Whether it's building user interfaces, managing API calls, or refining complex algorithms, Firebender acts as a smart assistant that supports developers by generating code snippets, suggesting best practices, and offering documentation insights directly within Android Studio. This tool is ideal for both novice and experienced developers looking to enhance their workflow and build high-quality Android applications efficiently.

An open source, terminal-based AI coding engine that helps you complete large tasks, work around bad output, and maximize productivity. Plandex uses long-running agents to complete tasks that span multiple files and require many steps. It breaks up large tasks into smaller subtasks, then implements each one, continuing until it finishes the job. It helps you churn through your backlog, work with unfamiliar technologies, get unstuck, and spend less time on the boring stuff. Changes are accumulated in a protected sandbox so that you can review them before automatically applying them to your project files. Built-in version control allows you to easily go backwards and try a different approach. Branches allow you to try multiple approaches and compare the results.

Build apps faster with ML-powered coding companion. Accelerate application development with automatic code recommendations based on the code and comments in your IDE. Empower developers to use artificial intelligence (AI) responsibly to create syntactically correct and secure applications. Generate entire functions and logical code blocks without having to search and customize code snippets from the web. Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models.