Kiran Naragund

Posted on Oct 25 • Updated on Oct 28

🔥12 Best AI Coding Assistant Tools for Devs🧑‍💻

#ai #programming #productivity #coding

Hello Devs! 👋

Nowadays, AI is everywhere, and AI technologies have become increasingly integrated into various aspects of daily life, especially in software development.

In this article, I’ll be covering some of the best AI coding assistance tools to enhance your daily workflow. Let me know which tools you use the most and share your experiences in the comments! 💬

Let's get started🚀

1. Qodo- First AI Coding Platform | formerly Codium

qodo is a trending tool that developers can use to enhance their coding experience with the power of AI.

It is an innovative AI-powered code quality platform designed to enhance the developer's development process. It provides you with smart code analysis, ensuring that the codebase remains clean, efficient, and error-free.

✨Here are some key features of Qudo:

✳️ Precise code suggestions: qodo thoroughly analyzes your code, providing tailored suggestions. These include adding docstrings & refining exception handling directly improving your code’s quality.

✳️ Code explanation: This tool offers detailed descriptions of your source code or snippets, breaking down each component and offering insights and sample usage scenarios to enhance code comprehension.

✳️ Automated test generation: qodo generates accurate and reliable unit tests without manual intervention, saving significant time and effort and ensuring thorough testing of your codebase.

✳️ Streamlined collaboration: Its Git platform integration allows you for sharing and reviewing code suggestions and test cases within your development team.

✳️ Multiple language and IDE support: qodo supports popular programming languages such as Python, JavaScript, and TypeScript while seamlessly integrating with leading IDEs, including VSCode, WebStorm, IntelliJ IDEA, CLion, PyCharm, and JetBrains.

2. GitHub Copilot

GitHub Copilot is a powerful tool that developers use to boost their productivity and streamline their coding process with the aid of AI.

It is an AI-driven code completion assistant developed by GitHub. It enables you to write code faster and more efficiently by providing context-aware code suggestions directly within the editor.

From entire functions to single-line completions, Copilot enhances your development experience by suggesting optimal code snippets, identifying potential issues in your code, and promoting cleaner, more efficient code practices.

✨Here are some key features of GitHub Copilot:

✳️ Code suggestions: GitHub Copilot provides code suggestions, completing lines or entire functions based on comments in your file.

✳️ Chat functionality: It features a chatbot within the developer’s environment, allowing for questions, suggestions, debugging, and natural language queries.

✳️ Easy Auto-complete Navigation: Cycle through multiple auto-complete suggestions with ease, allowing you to explore different options and select the most suitable suggestion for your code.

✳️ Multiple language and IDE support: This tool seamlessly integrates with popular IDEs like Visual Studio, Neovim, Visual Studio Code, and JetBrains, supporting various programming languages, including TypeScript, Golang, Python, and JavaScript.

3. Intellicode

Microsoft’s IntelliCode is an AI-powered tool designed to make coding faster and easier. It works within Visual Studio and Visual Studio Code to give you intelligent code recommendations based on the specific context of your project.

Think of it as a helpful assistant that suggests the best way to write code based on patterns learned from thousands of open-source projects. IntelliCode helps you by recommending the most relevant methods and libraries, flagging common issues, and helping with quick fixes.

✨Here are some key features of GitHub Intellicode:

✳️ Autocompletion: IntelliCode offers whole-line autocompletion by analyzing the code context, significantly speeding up the coding process.

✳️ Improved privacy: IntelliCode runs locally on the your machine, ensuring the privacy of the code while offering precise and context-aware suggestions.

✳️ Repeated edits detection: The tool detects repetitive edits, where developers can apply changes consistently across their codebase.

✳️ Quick actions: IntelliCode can recognize common coding patterns and tasks and suggest quick actions to simplify them, such as automatically generating constructors, adding parameters to constructors, etc.

4. Sourcegraph Cody

Cody AI assistant uses the latest LLMs and codebase context to help you understand, write, and fix code faster. This makes it incredibly useful for tasks like troubleshooting, finding dependencies, refactoring code, and even learning a new codebase quickly.

✨Here are some key features of Cody:

✳️ Code insights: The tool can explain individual code segments or entire repositories, where developers can easily understand new or complex projects.

✳️ Quick unit test generation: It can generate unit tests in seconds, which helps developers save time and focus more on writing new features.

✳️ Custom prompts: Developers can define their custom prompts so the tool can adapt to specific workflows and coding styles.

✳️ Support for multiple LLMs: Cody is compatible with multiple large language models (LLMs), such as Claude 3.5, GPT-4o, Gemini 1.5, and Mixtral-8x7B.

5. Tabnine

Tabnine is a smart coding assistant that understands your coding style and helps you complete your code faster and with fewer errors.

Tabnine uses deep learning models trained on large amounts of code to suggest contextually relevant completions as you type. Whether you’re writing functions, filling in boilerplate code, or exploring new libraries, Tabnine provides accurate and efficient suggestions tailored to your coding habits and language syntax.

✨Here are some key features of Tabnine:

✳️ Code Refactoring Assistance: Tabnine provides guidance and suggestions for code refactoring and improving code readability, efficiency, and maintainability.

✳️ Code Linting: It offers a code linting feature that identifies and suggests fixes for potential errors, ensuring clean and error-free code.

✳️ Automatic Code Documentation: It automatically generates code documentation to enhance understanding and collaboration among developers.

✳️ Intelligent Code Completions: Tabnine provides intelligent code completions based on an extensive dataset of open-source code, assisting developers with accurate and contextually relevant suggestions.

6. Codiga

Codiga works by analyzing your code in real-time to detect issues, suggest improvements, and enforce coding standards automatically. Codiga integrates directly with popular IDEs and code editors, making it easy to spot and fix potential bugs or inefficiencies as you write.

✨Here are some key features of Codiga:

✳️ Static code analysis: Analyzes code for potential errors, vulnerabilities, and other issues so users can identify and fix problems before they cause issues in production.

✳️ Code completion: Suggests code completions by looking at the context of the code. This can save time and avoid errors.

✳️ Code linting: Lint the code to identify potential errors and style violations. This will lead to heightened code readability and maintainability.

✳️ Code refactoring: Codiga excels at code refactoring, enhancing both performance and readability.

✳️ Code reviews: Codiga can automate code reviews to help you identify and fix potential problems before they cause issues in production.

✳️ Language and IDE support: Supports languages like Dart, Python, C, C#, Scala, Ruby, Go, etc., and platforms like GitHub, BitBucket, and IDEs like VS Code and JetBrains IDEs.

7. Replit

Replit is like a collaborative workspace for developers, where you can write, run, and share code all in one place.

Replit is an online coding platform that allows developers to code, compile, and deploy projects directly from the browser. It supports multiple programming languages and offers built-in collaboration features, making it easy to work with teammates or share projects with others.

Replit’s environment also includes AI-powered tools to help with code suggestions and bug fixes, making it useful for beginners and advanced programmers alike. With Replit, you can start coding instantly without needing to set up any local development environment, making it ideal for quick prototyping, learning new skills, and building projects from anywhere.

✨Here are some key features of Replit:

✳️ Advanced In-line Suggestions: Replit accelerates coding by providing advanced suggestions, helping developers write code more efficiently.

✳️ Code Explanation and Comments: It provides explanations and comments on code snippets, aiding developers in understanding and documenting their code effectively.

✳️ Mistake Detection and Correction: Identifies coding mistakes and offers guidance for correction, ensuring code accuracy and reducing errors.

✳️ Interactive Learning Environment: Replit enables developers to learn how to code within the document, fostering an immersive and educational coding experience.

8. DeepCode AI

DeepCode AI by Snyk is a popular AI-powered coding assistant designed to improve software security and developer productivity.

Unlike many AI coding tools that rely solely on a single machine learning model, DeepCode AI uses a hybrid approach that combines symbolic AI, generative AI, and machine learning models, all trained on a vast amount of security-specific data.

✨Here are some key features of Deepcode AI:

✳️ Hybrid AI: DeepCode AI uses symbolic and generative AI models trained on security-specific data, minimizing hallucinations and ensuring high accuracy.

✳️ AI-Powered quick fixes: The tool provides in-line quick fixes and automatically scans them to ensure they don’t introduce new issues. These fixes include a higher accuracy with an average success rate of 80%.

✳️ Customized rule creation: Users can write their queries using DeepCode AI logic with autocomplete functionality, making it easier to create, test, run, and save custom rules.

✳️ CodeReduce technology: Reduces the processing time and amount of code that the LLM (Large Language Model) needs to handle and also improves the quality of generated fixes, reducing hallucinations and enhancing overall accuracy.

9. Figstack

Figstack is an AI-powered platform that helps developers interpret and understand code more effectively. It provides features such as code explanations, language translation, and function documentation generation, making it easy to dive deep into unfamiliar code.

✨Here are some key features of Figstack:

✳️ Code explanation: This feature helps users easily understand the code written in any language by translating it into clear, natural language descriptions.

✳️ Cross-Language code translation: Developers can easily convert code from one programming language to another. This simplifies the process of porting applications across different technology stacks.

✳️ Automated function documentation: Figstack automatically generates detailed docstrings that describe the function’s purpose, parameters, and return values, ensuring that your code is always readable, maintainable, and well-documented.

✳️ Time complexity analysis: The tool helps developers assess the efficiency of their code in Big O notation, pinpoint bottlenecks, and optimize their code for better performance by identifying the time complexity of a program.

10. Mutable AI

Mutable AI integrates with popular IDEs to provide real-time code suggestions, instant fixes, and even refactoring recommendations based on your project’s context. Beyond autocomplete, MutableAI also automates repetitive tasks, making it easier to refactor, add comments, or adjust code to follow best practices.

✨Here are the key features of MutableAI:

✳️ AI Autocomplete: Minimize time spent on boilerplate code and searching for solutions on Stack Overflow with specialized neural networks providing intelligent code suggestions.

✳️ Production Quality Code: Refactor, document, and add types to your code effortlessly, ensuring high-quality code output.

✳️ Prompt-driven Development: Interact directly with the AI by giving instructions to modify your code, enabling a more intuitive and interactive coding experience.

✳️ Test Generation: Automatically generate unit tests using AI and metaprogramming techniques, ensuring comprehensive test coverage for your code.

✳️ Language and IDE Integration: Supports popular languages like Python, Go, JavaScript, TypeScript, Rust, Solidity, and more, as well as integration with IDEs like JetBrains and Visual Studio (VS) Code.

11. Amazon CodeWhisperer

Amazon CodeWhisperer tool developed by AWS to enhance productivity by providing real-time, context-aware code recommendations. Integrated with popular IDEs, CodeWhisperer can suggest entire lines or blocks of code based on your current task, whether you're working in Python, Java, JavaScript, or other supported languages.

✨Here are the key features of Amazon CodeWhisperer:

✳️ Code Suggestions: Tailored snippets, functions, and even entire classes are offered based on contextual cues within the code. This feature saves time, minimizes errors, and streamlines the coding process.

✳️ Function Completion: Simplifies coding by suggesting subsequent lines or even completing entire function bodies.

✳️ Documentation Generation: Automatically creates comprehensive documentation for the code, encompassing function summaries, parameter explanations, and return values.

✳️ Security Scanning: Proactively identifies potential security vulnerabilities within the code, helping developers address issues preemptively.

✳️ Language and IDE Integration: Compatible with a wide array of programming languages such as Python, JavaScript, C#, Rust, PHP, Kotlin, and SQL.

12. CodeGeeX

CodeGeeX is an AI-powered code generation tool designed to assist developers in writing, completing, and optimizing code more efficiently. It leverages deep learning models trained on a wide variety of programming languages and codebases, where it can provide context-aware code suggestions, complete code snippets, and even generate entire functions or modules.

✨Here are the key features of CodeGeeX:

✳️ Code generation and completion: CodeGeeX offers accurate code generation capabilities based on natural language descriptions. Also, it can complete the current line or multiple lines ahead, making the development process faster.

✳️ Code translation: Developers can effortlessly convert their code from one programming language to another.

✳️ Automated comment generation: The tool saves time by automatically generating line-level comments, which helps improve code readability and maintainability.

✳️ AI chatbot: The AI chatbot in CodeGeeX provides quick answers to technical questions directly within the development environment instead of having developers find solutions on the internet.