Coding has become a crucial part of AI development. Yet, coding has become more daunting as AI models grow in size and complexity. The good news is that AI can help. AI coding assistants can help lighten the load. With their ability to boost productivity, enhance accuracy, and cut down on menial tasks, they’re changing how developers approach coding tasks. Multi-agent AI systems, which involve multiple AI agents working collaboratively, can take this a step further by breaking down complex coding tasks into manageable components, allowing for parallel processing and faster problem-solving. This article will introduce you to the best AI coding assistants, including multi-agent AI, to help you achieve faster, smarter, and more efficient AI development that drives innovation and real-world impact.
Lamatic's generative AI tech stack can be an invaluable tool for developers looking to optimize their coding tasks. With its AI-powered coding assistant, Lamatic can help you streamline coding processes and improve outcomes.
What is an AI Coding Assistant Tool?
An AI coding assistant tool is a software program that uses artificial intelligence to help you write code more efficiently and accurately. It's like having a:
- Super-smart code reviewer
- Autocomplete
- Integrated chat tool
An AI code assistant, powered by the latest large language models, can assist you with:
Code Suggestion: Get Helpful Code Suggestions as You Type
As you type, an AI coding assistant can suggest code snippets and functions relevant to the context of your work. For example, if you’re writing a Python function to analyze a data file, the AI might suggest code to help you read the file or perform a statistical analysis.
The suggestions can help you complete tasks more quickly and even teach you how to work with unfamiliar languages or libraries.
Fix Bugs: Identify Errors Before You Run Your Code
It can help you identify bugs and errors in your code before actually running it. It analyzes your code and provides suggestions to fix any errors. This capability can help debug and prevent bugs from appearing in the first place.
Multi-Language Support: Work in Any Programming Language
You don't need to learn a new programming language. You can generate and run code in any language. If you’re switching from one language to another, an AI coding assistant can help you translate your logic to the new syntax and suggest improvements to optimize your new code.
Refactoring: Clean Up Your Code
An AI coding assistant can help you clean up your code and make it more readable. It can:
- Generate docstrings
- Add comments
- Format the code
- Generate unit tests and more
Natural Language Queries: Chat to Get Code Help
You can chat with your AI assistant using natural language like a human. This can assist with generating complex code or understanding code functionality.
Security Guard: Improve Code Security
An AI coding assistant can scan your code for security vulnerabilities and suggest ways to fix them.
Fixing Errors: Get Help Troubleshooting Run-Time Issues
If you encounter an error when running your code, an AI assistant can help you diagnose and fix the issue quickly.
AI Coding Assistants Are Here to Help
AI coding assistants are essential for developers as they help them quickly write better and more accurate code. They are not here to replace developers but to help them be more productive and efficient in building products or fixing issues.
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25 Best AI Coding Assistant Tools to Supercharge Your Coding Skills
1. Lamatic
Lamatic offers a managed Generative AI Tech Stack.
Our solution provides:
- Managed GenAI Middleware
- Custom GenAI API (GraphQL)
- Low Code Agent Builder
- Automated GenAI Workflow (CI/CD)
- GenOps (DevOps for GenAI)
- Edge deployment via Cloudflare workers
- Integrated Vector Database (Weaviate)
Lamatic empowers teams to rapidly implement GenAI solutions without accruing tech debt. Our platform automates workflows and ensures production-grade deployment on the edge, enabling fast, efficient GenAI integration for products needing swift AI capabilities.
Start building GenAI apps for free today with our managed generative AI tech stack.
2. DataLab AI Assistant
Datalab is a cloud-based Jupyter Notebook that uses the latest AI technology to assist users with:
- Insights generation
- Writing code
- Debugging
- Auto-completion
It can also identify errors and offer solutions within seconds, meaning that generating a proper data analysis report, usually taking hours for a professional data scientist, can now be done in just a few minutes.
3. ChatGPT
ChatGPT is well-known for its use as an AI coding assistant that helps:
- Generate code snippets
- Solve issues
- Brainstorm project ideas
It is fast, reliable, and free for everyone. The best way to use ChatGPT is to provide code context or a detailed description of your project before asking technical questions.
By offering context, you enable ChatGPT to generate more accurate and relevant responses, helping you write and test your code more effectively. ChatGPT's primary goal is to assist users in their inquiries and tasks, making it an invaluable resource for developers and learners.
4. Codeium
Codeium is a popular and free solution for enhancing your development experience with:
- Intelligent autocomplete
- AI chatbot
- Context-aware code generation, and more developer features
It is secure and provides a faster response, similar to GitHub Copilot. It also provides a paid option to access the advanced GPT-4 model and other administrator tools. This is a good AI coding assistant if you are starting and want fast and accurate code generation.
5. Blackbox AI
Blackbox AI is a coding assistant that uses artificial intelligence to help developers write better code. It provides real-time suggestions for code completion, documentation, and debugging.
It integrates with various developer tools, making it easy to use within your existing workflow. Blackbox AI comes with several features, including:
- Autocomplete
- AI chat
- AI commit
- AI code suggestion and generation
- File difference comparison
6. Amazon Q Developer
The Amazon Q Developer AI coding assistant enhances your development workflow with robust tools available wherever you work. The Free Tier accelerates coding with intelligent suggestions in your IDE and CLI, offering public CLI completions for free. Amazon Q Developer provides inline code suggestions, vulnerability scanning, and chat in popular IDEs, including:
- JetBrains
- IntelliJ IDEA
- Visual Studio
- VS Code
You can also get CLI autocompletion and AI chat in your favorite terminal, locally, and over Secure Shell. You can use the Amazon Q panel in your AWS Management Console if you’re an AWS user. The paid version of Amazon Q Developer, Pro Tier, offers more advanced features with higher limits.
7. GPT4ALL
GPT4ALL is an open-source chat user interface that runs open-source language models locally using consumer-grade CPUs and GPUs. Just download and install the software, and you are good to go. This chatbot is context-aware, meaning you can provide it with the location of your coding project and ask the AI questions to understand and improve the existing code.
You can use open-source extensions to integrate GPT4ALL, an API server, into your Integrated Development Environment (IDE). The GPT4ALL is a private chatbot that supports all open-source models and runs seamlessly on any machine.
8. Tabby
Tabby is an AI coding assistant that can be hosted on your local machine using Docker, providing an open-source and on-premises option to GitHub Copilot. It offers several significant features, such as being self-contained and not requiring any database management system or cloud service. Its OpenAPI interface allows easy integration with existing infrastructure, such as a cloud IDE. Additionally, it supports consumer-grade GPUs.
Tabby offers a large language model server service that you can self-host. It also comes with extensions that you can use on:
- VSCode
- Vim/NVim
- IntelliJ Platform
To get started, follow this simple guide to set up the server. Once done, you can install the extension into your VSCode and connect it with the server using an API.
9. Code GPT
CodeGPT VSCode extension is a reliable tool that helps you code more efficiently by offering AI chat assistance, auto-completion, code explanation, error checking, and more. It also allows you to use various AI models from different providers, enhancing your coding experience.
Although it is not an open-source tool, this extension allows you to access open-source models online and locally. It supports Ollama and LM Studio, private software enabling you to run your LLMs locally.
You can connect LLM models using API keys provided by:
- OpenAI
- Microsoft Azure
- Anthropic
- Cohere
- Mistral
- Huggingface
10. Cody
Cody is a powerful open-source AI coding assistant designed to help developers write and debug code more efficiently. You can start using it by installing the extensions in VSCode and JetBrains. Cody uses state-of-the-art AI models (Claude 2, GPT-4) to provide autocomplete and answer various coding questions about your project. It helps you write better code by fetching relevant context from your entire codebase.
Cody also has an inline chat feature that allows you to ask Cody to fix or refactor code from anywhere in a file. You can use commands such as:
- “Document code”
- “Explain code”
- “Generate Unit Tests”
11. GitHub Copilot
GitHub Copilot is a coding AI assistant that made waves when launched. It was the first of its kind to use the advanced GPT-3.5 model. Its initial release showcased impressive speed and accuracy, surpassing many other tools.
Over time, GitHub Copilot has continued to improve and now offers an even better experience for developers. The latest version of GitHub Copilot has various features, including an:
- AI chatbot
- An inline chatbox
- Code generation
- Autocomplete
- CLI autocomplete
- Other GitHub-based features
12. Tabnine
Tabnine is the leading AI coding assistant that prioritizes privacy, security, and compliance while accelerating and simplifying software development. In addition to code completion and debugging, it includes a real-time chat feature that allows you to write code more quickly.
It also generates unit testing, refactors your code, helps you understand your code, and generates documentation. It is faster at generating code than most other tools.
13. Replit AI
Replit AI is a cloud-based IDE that uses artificial intelligence to enhance the development experience. While some AI features are free, the complete set is only available through a subscription to Replit Core.
With Replit Core, users can access unlimited:
- AI chat responses
- Advanced AI models
- Additional features
- Unlimited private projects
You can chat with AI-powered assistants like ChatGPT or use In-line AI for code editing and generation. This is a perfect platform for kids and beginners who want to learn and build new and exciting things without paying much for cloud services.
14. Cursor AI
Cursor AI is a next-generation AI programming assistant designed to improve coding efficiency with smart debugging and intelligent code suggestions. It’s an excellent choice for those who need advanced AI-driven problem-solving.
Key Features
- AI-powered error detection and smart code improvement suggestions.
- Multi-language support, including:
- Python
- C++
- JavaScript
- Deep learning models for accurate, context-aware assistance.
Best For
Developers who want an intelligent AI assistant that helps with debugging and troubleshooting.
15. AWS CodeWhisperer
Amazon CodeWhisperer is an AI-powered code generation tool that enhances developer productivity through intelligent, context-aware suggestions.
Key features include:
- Real-Time Code Recommendations: Offers live coding suggestions tailored to your style and the current context of your code.
- Context-Aware Code Completion: Generates anything from small snippets to entire functions based on your input and past patterns.
- Comment & Documentation Generation: Assists in writing code comments and documentation to improve clarity and maintainability.
- IDE Integration: Compatible with popular IDEs such as Visual Studio Code and JetBrains.
- Security Scanning with CodeGuru: Integrates with Amazon CodeGuru to automatically scan your code for potential security vulnerabilities.
16. Codium
Codium is an AI-driven tool designed to streamline and automate the software testing process.
Its core capabilities include:
- Automated Test Generation: Uses advanced AI models to analyze source code, understand functionality, and generate relevant test cases.
- Significant Time Savings: Users report reducing test writing time from hours to minutes, boosting overall productivity.
- Deep Code Analysis: Thoroughly examines code structure and behavior to produce accurate and meaningful tests.
- Purpose-Built for Testing: While Codium offers additional features, its primary strength lies in intelligent, automated testing solutions.
17. Continue
Continue is a powerful plugin that brings AI capabilities directly into JetBrains and VS Code IDEs.
It acts as a flexible interface for various language models, offering key features such as:
- Chat Integration: Use code or natural language input to interact with large language models (LLMs) for task-specific assistance.
- Autocomplete: Provides real-time, inline code suggestions as you type to accelerate development.
- Brilliant Code Editing: Use natural language to describe desired changes and apply them directly to selected code blocks.
- Action Shortcuts: Access one-click tools for code review, test generation, and docstring creation.
- Model Flexibility via API Keys: Continue doesn’t host its models. Instead, it connects to your chosen LLM (e.g., OpenAI, Anthropic, Gemini, Mistral).
- Local Model Support: This feature integrates with Ollama for developers who prefer running models locally, giving them more control over privacy and performance.
18. IntelliCode
IntelliCode is Microsoft’s AI-powered coding assistant, built into Visual Studio and Visual Studio Code. It enhances development with intelligent suggestions based on real-world coding patterns.
Key Features Include
- Context-Aware Code Suggestions: Offers intelligent code completions prioritized based on usage patterns from thousands of high-quality GitHub repositories.
- Pattern-Based Refactoring: Detects code repetitions and enables consistent edits across multiple instances in your codebase.
- Multi-Language Support: Supports C#, Python, Java, and JavaScript, with feature availability varying by language and IDE.
- IDE-Specific Capabilities: For example, whole-line autocompletions are available for C# in Visual Studio 2022 and Python in Visual Studio Code.
19. Aider
Aider is a lightweight AI pair programming tool designed to run directly in your terminal and integrate seamlessly with your local Git workflow.
Key Features Include
- Git-Aware Collaboration: Edits are made in the context of your Git repo, with automatic commits and meaningful messages after each change.
- Multi-File Editing: This feature supports simultaneous edits across multiple files based on natural language requests for bug fixes, feature additions, refactoring, and documentation.
- LLM Flexibility: No built-in model is included; users connect external LLMs like Claude 3.5 Sonnet, GPT-4o, Gemini, or even local models via Ollama.
- Enhanced Interaction Modes: Go beyond text: use voice commands, attach images or URLs, and create a dynamic, conversational development workflow.
20. Gemini in Android Studio
Gemini is an AI-powered assistant integrated into Android Studio. It is designed to enhance developer productivity through natural language interaction and intelligent code assistance.
Key Features Include
- Natural Language Query Support: This feature allows developers to ask questions in plain English and receive help with code generation, resource location, and best practices.
- AI-Powered Code Completion: Predicts and suggests relevant code continuations, including entire functions, to accelerate development.
- Context-Aware Suggestions: Relevant code snippets may be transmitted to the underlying LLM for improved context and more accurate completions.
- Productivity & Guidance: This tool offers tips aligned with best practices, helping developers write better code faster and with fewer frustrations.
- Caution Advised: While helpful, Gemini may occasionally generate inaccurate or incomplete code. Developers should validate and test all AI-suggested output.
21. AskCodi
AskCodi is an AI-powered code assistant designed to increase developer productivity by providing:
- Real-time code suggestions
- Automating repetitive tasks
- Offering context-aware solutions
It supports multiple languages and is built to streamline the development process by enabling quick access to:
- Code snippets
- Documentation
- Debugging advice
Key Features
- Natural language queries: AskCodi can interpret natural language queries. Developers can ask AskCodi questions in plain English, such as “How do I create a function in Python that reads a CSV file?” and it will provide the corresponding code.
- Snippet repository: AskCodi provides access to a rich repository of commonly used code snippets, enabling developers to insert reusable code blocks quickly.
- Code documentation: AskCodi offers a code documentation feature that automatically generates comments and documentation for the code.
22. Snyk powered by DeepCode AI
DeepCode AI is a component of the Snyk SAST platform. It is equipped with multiple AI models, each informed by an extensive security-focused dataset and the expertise of leading security researchers. DeepCode AI is engineered to identify and remediate security vulnerabilities and manage technical debt efficiently.
This code assistant trains the AI using open-source projects, strictly refraining from using customer data. Unlike single-model systems such as ChatGPT, DeepCode AI adopts a hybrid model approach, ensuring unparalleled scanning precision. Developers can craft custom queries using DeepCode AI’s logic.
23. Sourcery
Sourcery is an AI-driven tool that improves code quality through intelligent refactoring and automated reviews. Unlike typical autocomplete tools, Sourcery emphasizes:
- Readability
- Efficiency
- Maintainability
Key Features Include
- Real-Time Refactoring Suggestions: This tool analyzes code as you write, suggesting improvements such as simplifying logic, splitting large functions, and removing redundancy.
- Best Practice Enforcement: Automatically applies coding best practices, including principles like DRY, to create cleaner, more modular code and reduce technical debt.
- Automated Code Reviews: Integrates with GitHub and GitLab to perform AI-powered code reviews in your CI/CD pipeline, catching issues before merge and reducing manual review time.
24. Hugging Face
Hugging Face is a leading open-source machine learning platform, widely recognized for its innovations in natural language processing (NLP) and AI development tools. It has become a key resource for developers integrating machine learning into coding workflows.
Key Features Include
- Pre-Trained AI Models: It offers a vast collection of transformer-based models for text generation, translation, sentiment analysis, and code generation, and it is usable out-of-the-box or fine-tuned for specific tasks.
- Code Generation & Completion: Advanced models like CodeGen are optimized to generate entire code blocks or predict subsequent lines based on context, aiding in faster development and prototyping.
- In-Browser Development via Spaces: Provides Spaces, a platform for building and deploying machine learning apps directly in the browser, including interactive AI coding environments.
- Developer-Centric Ecosystem: Hugging Face supports seamless integration into projects via APIs, libraries, and community-shared resources, streamlining AI adoption in coding tasks.
25. MutableAI
MutableAI is an intelligent code assistant designed to enhance developer productivity through:
- Advanced code suggestions
- Refactoring
- Personalized optimization
Key Features Include
- Advanced Code Refactoring: Goes beyond basic suggestions to help simplify complex code, reduce technical debt, and improve overall code clarity and performance.
- Project-Aware Customization: Learns from your specific codebase or team’s projects, delivering tailored suggestions that align with your coding style, libraries, and frameworks.
- Automated Code Documentation: Assists in maintaining clean and well-documented code by suggesting meaningful comments and structured documentation.
- Autocompletion & Optimization: This feature streamlines coding with intelligent autocompletion and real-time optimization insights, reducing manual effort and improving consistency.
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Start Building GenAI Apps for Free Today with Our Managed Generative AI Tech Stack
Lamatic offers a complete managed generative AI tech stack to implement AI capabilities in your software products. Their solution automates workflows to help teams quickly build and deploy AI applications while minimizing technical debt.
Users can focus on creating value for their organizations instead of worrying about the underlying infrastructure and deployment processes. Lamatic’s solution is production-grade, meaning it can be deployed within mission-critical applications.
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