Hello Devs! 👋
The world of software development is evolving faster than ever, thanks to a new generation of AI-powered tools that help you code smarter, faster, and with fewer errors.
In this article, I’ll be covering some of the best AI coding agents that can boost your productivity, whether you're debugging, generating tests, reviewing code, or building full-stack apps from scratch.
Let's get started🚀
1. Qodo- Quality-First AI Coding Platform
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.
and more...
2. Lovable AI
Lovable AI is an innovative platform designed to transform your ideas into fully functional web applications swiftly and efficiently. By simply describing your concept in natural language, Lovable leverages advanced artificial intelligence to generate applications with aesthetically pleasing designs and robust functionality.
✨Here are some key features of Lovable:
✅ Rapid Development: Articulate your idea, and Lovable AI delivers an initial version of your application within seconds, significantly accelerating the development process.
✅ Iterative Enhancement: Engage in a conversational interface to refine and improve your application, allowing for seamless iterations and adjustments.
✅ One-Click Deployment: Once satisfied with your application, deploy and share it effortlessly with a single click, streamlining the sharing and feedback process.
3. v0
v0 is a generative chat interface with in-depth knowledge on modern web technologies. It can provide technical guidance while building on the web, generate UI with client-side functionality, write and execute code in JavaScript and Python, build diagrams explaining complex programming topics, and more.
The chat interface allows you to interact with the v0 assistant. v0 can output advanced Blocks that can be previewed in the chat, and then copied and pasted into your project or installed via the shadcn CLI. Using Blocks, v0 can write and render Svelte, Vue, React, and HTML with CSS.
✨Here are some key features of v0:
✅ Text-to-design generation: Users can input simple text prompts to automatically generate UI designs tailored to specific project needs.
✅ Image integration capability: The tool allows the incorporation of images into designs, enhancing visual appeal and context.
✅ Responsive design features: v0 by Vercel ensures that all generated designs are responsive, providing optimal viewing across various devices.
✅ Interactive elements inclusion: Designs include interactive components like pop-up menus and hover effects, improving user engagement.
4. Same.New
With Same you can design, build, and deploy beautiful full-stack web apps on autopilot. You just need to prompt a single URL or image/screenshot to get started and it will clone the exact website for you.
This will be helpful if you want to build a same exact web design of a particular website.
Currently it supports OpenAI, Cloude and Gemini models and you can switch easily between them.
✨Here are some key features of same:
✅ UI Cloning: Generate code from URLs or images.
✅ Web Browsing: Agent can use web content as context.
✅ GitHub Integration (Public): Connect to public repos, push/pull code.
✅ Version Control: Automatic checkpoints and ability to revert.
✅ Netlify Deployment: Deploy projects directly to Netlify.
✅ Manual Editing: Integrated code editor and terminal.
5. Windsurf
Windsurf is an agentic code editor, similar to Cursor AI, by autocompleting or generating code, Windsurf understands your entire project before making any suggestions. It can make changes automatically upon request, debug, and even run your code for you. If your code execution fails, Windsurf will iterate—making changes and rerunning the code until your request is successfully fulfilled.
✨Here are some key features of Windsurf:
✅ Supercomplete: Windsurf’s Supercomplete goes beyond traditional autocompletion. Rather than simply predicting the next word or line, it predicts your intent.
✅ Inline AI: With Inline AI, you can ask Windsurf to make changes to specific lines of code, generate docstrings, refactor sections, and more—all without touching the rest of your codebase.
✅ Cascade: Cascade combines deep codebase understanding, a breadth of advanced tools, and a real-time awareness of your actions into a powerful, seamless, and collaborative flow.
✅ Image upload: You can upload images—such as screenshots of your website—directly into Cascade. Windsurf can then generate HTML, CSS, and JavaScript code to mimic the design or even add similar features to your application.
✅ Web search: Cascade can intuitively parse and analyze web pages and documentation in real time, providing relevant and actionable context for your code.
✅ Memories: Windsurf’s Memories system allows it to persist context across conversations, ensuring continuity.
6. Cursor
Cursor is an AI-powered code editor designed to make software development easier. It is same as Visual Studio Code (VS Code), making it easier for developers already familiar with the platform to transition.
Cursor AI integrates advanced AI capabilities through OpenAI’s ChatGPT and Claude. This integration allows Cursor AI to offer intelligent code suggestions, automated error detection, and dynamic code optimization.
✨Here are some key features of Cursor:
✅ Autocomplete and code prediction: Cursor provides autocomplete functionality that predicts multi-line edits and adjusts based on recent changes.
✅ Code generation: Familiar with recent changes, Cursor predicts what we want to do next and suggests code accordingly.
✅ Multi-line edits: It can suggest edits that span multiple lines.
Smart rewrites: The editor can automatically correct and improve our code, even if we type carelessly.
✅ Cursor prediction: It predicts the next cursor position, allowing seamless navigation through the code.
7. CodeMate
CodeMate is an AI-powered coding assistant that generates, fixes, and maintains your code. It offers a wide range of features such as error fixing, code review, code optimization, generating test cases. CodeMate understands about your entire codebase or product documentation and can detect logical, syntax, and runtime errors and fix them just like autocorrect for your code.
✨Here are some key features of CodeMate:
✅ Error fixing: CodeMate acts like a supercharged autocorrect for your code, identifying and fixing syntax errors, logical mistakes, and runtime issues across various programming languages, configuration files, and codebases.
✅ Code review: Get insightful feedback on your code based on industry best practices or your own custom metrics. CodeMate goes beyond basic syntax checks, providing detailed reports with actionable suggestions for improvement.
✅ Code optimization: Not only does CodeMate fix errors, but it also suggests optimizations that can improve the efficiency and performance of your code.
✅ Test case generation: Save time and effort by automatically generating unit tests for your code, ensuring its functionality and reliability.
✅ Code generation: CodeMate can generate documentation, comments, and other repetitive tasks with ease.
✅ Ask questions: Get instant answers to your coding questions directly within your IDE or through a dedicated chat interface across your devices.
8. 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.
9. Bolt.new
Bolt.new is an AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly from your browser—no local setup required.
Bolt.new integrates cutting-edge AI models with an in-browser development environment powered by StackBlitz’s WebContainers. This allows you to:
✅ Install and run npm tools and libraries (like Vite, Next.js, and more)
✅ Run Node.js servers
✅ Interact with third-party APIs
✅ Deploy to production from chat
✅ Share your work via a URL
Unlike traditional dev environments where the AI can only assist in code generation, Bolt.new gives AI models complete control over the entire environment including the filesystem, node server, package manager, terminal, and browser console. This empowers AI agents to handle the entire app lifecycle—from creation to deployment.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. Amazon Q
Amazon q tool developed by AWS to enhance productivity by providing real-time, context-aware code recommendations. Integrated with popular IDEs, Q 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 Q:
✳️ 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.
19. 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.
20. Aider
Aider is AI pair programming in your terminal. It lets you pair program with LLMs to start a new project or build on your existing codebase.
✨Here are the key features of Aider:
✅ Cloud and local LLMs: Aider works best with Claude 3.7 Sonnet, DeepSeek R1 & Chat V3, OpenAI o1, o3-mini & GPT-4o, but can connect to almost any LLM, including local models.
✅ Git integration: Aider automatically commits changes with sensible commit messages. Use familiar git tools to easily diff, manage and undo AI changes.
✅ Images & web pages: Add images and web pages to the chat to provide visual context, screenshots, reference docs, etc.
✅ Voice-to-code: Speak with aider about your code! Request new features, test cases or bug fixes using your voice and let aider implement the changes.
That's It.🙏
Thank you for reading this far. If you find this article useful, please like and share this article. Someone could find it useful too.💖
💬👇 Let me know which tools you use the most and share your experiences in the comments!
Top comments (26)
This is nearly complete—great post, Kiran! Just to add, it might be worth mentioning Phind as well.
If I'm not mistaken, it was one of the first AI coding agents in the industry!
Thank you Hussein!
and Also for adding Phind🤯
Great article, @dev_kiran . If you get the chance, take a look at what we’re building. Would love to hear your feedback.
We’re working on Kodus, an open source AI-powered code review tool.
Here’s how it works:
Thanks for sharing Edvaldo!
I'll definitely check this out :)
Thanks for the list.
Not Coding but we are maintaining an open-source AI agent framework called Voltagent.
github.com/VoltAgent/voltagent
Thanks for sharing!
Starred it :)
I'll definitely check it out once I get some free time.
Thanks:)
Thanks for the list — a few tools here I hadn’t seen yet.
I’m building a backend-as-a-service called Manifest that fits well with this new wave. Most vibe coding tools are great for frontends, but the moment you need a real backend, things break down. That’s when devs turn to AI code editors like Cursor or Windsurf. But even then, you quickly hit limits: too much scattered code to review, hidden security issues, and deployment still feels clunky.
Using a BaaS like Firebase doesn’t help much either, they weren’t built to work inside these editors. You keep jumping back and forth to their dashboards, which kills the flow. They add MCP servers, but they’re a weak substitute compared to the power and fluidity of working directly with Cursor.
With Manifest a backend that lives in one file, you can work anywhere, and soon, you will be able to deploy your backend instanlty. We’re making it even more integrated with tools like Cursor and Lovable. Feel free to follow the project if you're curious!
Looks interesting Sébastien!
Thanks for sharing!
Really useful article! Thanks for the detailed info 😊 Which AI tool have you found the most helpful in your own projects?
Thank you!!
Glad you found it helpful.
I’ve been using v0 and Bolt a lot for my frontend work, and Qodo Gen has been super handy for generating test cases and code suggestions in vs code.
What about you? any favourite tools?
At the moment, I rely a lot on GitHub Copilot, especially for suggestions inside VS Code. But tools like Cursor and Qodo Gen are definitely on my list. Always fun to try new ones and see which fits best!
Nice!
Definitely worth checking them out..
So many cool options out there lately - I'm definitely always hunting for stuff that saves me a headache coding.
Thanks for checking Nathan!
Thanks for sharing!
🙏
Great share!
Thanks Nick!
Pretty stacked list, there's a couple on here I've been meaning to check out.
Thanks! Definitely worth checking them out :)
Every few months I feel like I have a totally new favorite AI tool for coding. Crazy to see how fast this list is growing and evolving!
Totally feel the same! Every week there's something new to try.
BTW which one is your current favorite?
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