11 Best AI Coding Tools—Guide for Developers (2025 updated)

The world of coding is leveling up, and AI tools are the secret weapon every developer needs. They don’t just suggest code; they predict entire lines, recommend best practices, and catch errors early.

Whether you’re a pro or a newbie, these AI tools can boost your coding game. Let’s dive into the best 10 AI tools for coding in 2024.

What is a AI Coding Tool?

Imagine having a coding buddy who’s always by your side, ready to help you write better, faster, and smarter code. That’s exactly what an AI coding tool feels like—a game-changer for developers of all levels.

These tools use the magic of artificial intelligence to take the grind out of coding. Whether you’re stuck debugging, need help writing a tricky snippet, or just want to save time on repetitive tasks, AI coding tools have got your back.

Here’s how they work their charm:

• Code Whisperer: They predict what you’re going to type next and suggest entire lines of code—sometimes even the whole function!
• Bug Detective: Spot errors you might miss and suggest fixes that make you look like a pro.
• Code Cleanup Crew: Help you reorganize messy code into a clean, efficient masterpiece.
• Knowledge Bank: Generate helpful comments or even explain code when you’re feeling stuck.

You’re not just coding anymore; you’re collaborating—with AI! Whether you’re building the next big app, learning a new language, or tackling a tough project, an AI coding tool is like having a 24/7 assistant who never gets tired or judges your typos. 

Top 11 Best AI tools for Coding

Whether you’re a seasoned developer looking to save time or a beginner seeking guidance, these tools are changing the game, making coding more accessible, efficient, and even fun. Here, we’ve rounded up the top 11 best AI coding tools that are taking the tech world by storm— and you definitely don’t want to miss out!

1. GitHub Copilot

This tool is a leader in software development, integrating seamlessly with IDEs like Visual Studio Code. It speeds up development, reduces stress, and minimizes errors by understanding code context and generating real-time suggestions.

GitHub Copilot offers real-time code completion, function generation, and context-aware suggestions in various languages. Recently, it added a ChatGPT-like assistant for even more interactive coding support, making it invaluable for optimizing workflows and boosting productivity.

Pros:

• Widely adopted: Recognized as the leading AI-powered coding assistant.
• Smart autocompletion: Excels at suggesting code snippets and completing lines efficiently.
• Supports Multiple Languages: Works with Python, JavaScript, TypeScript, Go, C++, Ruby, and more.
• Understands Context: Recognizes project structure, function signatures, and naming conventions.
• Unit Testing automation at functional and non functional (industry’s standards)

Cons

• Limited understanding of new APIs
• Blocked code

Pricing plans

• For individuals: $10/month or $100/year; free trial
• For business: $19/user/month

2. Tabnine

Tabnine is an AI-powered assistant that offers remarkable code completion capabilities and the ability to train on your own data. Therefore, the tool can provide even more personalized suggestions tailored to your needs. 

Additionally, Tabnine supports various programming languages and seamlessly integrates with popular Integrated Development Environments (IDEs). 

For instance, imagine you're working on a complex Python project that involves custom libraries. Tabnine can learn the intricacies of your codebase, making it possible to provide more relevant and accurate code completions as you write. As a result, you can write code faster and more efficiently without worrying about syntax errors or typos.

Pros

• Fast and Lightweight: Provides real-time code completions with minimal system impact.
• Context-Aware Completions: Understands project structure, function definitions, and naming conventions.
• Local AI Model (Pro Plan): Offers on-device AI models for private and secure coding assistance.
• Privacy-Focused: Can be used offline for sensitive projects.

Cons

• Limited Free Plan: The free version offers basic completions only
• Less Capable for Beginners since it focuses on autocompletion rather than code suggestions
• Higher Cost for Enterprises: self-hosted AI models require custom pricing

Pricing Plans

• Basic: No deep learning-powered completions
• Tabnine Pro ($12/month per user): Local AI model support; Advanced AI-powered code completions
• Tabnine Enterprise (Custom Pricing): Self-hosted AI model
   

3. Amazon CodeWhisperer

This Amazon offering goes beyond basic code completion. It provides a two-pronged approach to streamlining your coding process while also ensuring software security, giving you peace of mind about the safety of your code. 

With CodeWhisperer, you can scan your existing code and comments to generate code in real-time. As a result, this AI tool not only saves you time in writing code but also helps you write more efficient and optimized code that follows the best coding practices. 

Moreover, CodeWhisperer identifies potential security vulnerabilities in your code, which can be fixed before you deploy it to production. This approach lets you write more secure software from the start, eliminating the need for additional security testing after the fact.

Pros

• Intelligent Code Suggestions – Generates function-level code and autocompletes lines based on context.
• AWS-Specific Code Generation – Optimized for AWS SDKs, APIs, and cloud-based applications.
• Multi-IDE Support – Works across popular IDEs, AWS Lambda Console, and Cloud9.
• Full-Code Generation – Generates entire functions based on comments or partial code.
   

Cons

• Limited Non-AWS Support – Less effective for non-AWS development environments.
• AWS-Centric – Suggestions are heavily optimized for AWS tools
• Less Flexible AI Model: Customization options are limited
• Paid Features for Teams – Business users must pay for advanced security and administrative features.
   

Pricing Plans

• CodeWhisperer Individual (Free): Unlimited code completions
• CodeWhisperer Professional ($19/user/month): Enterprise-grade security and customization
• CodeWhisperer Enterprise (Custom Pricing): all features

4. Replit Ghostwriter

Built into the Replit online IDE, Replit Ghostwriter is specifically designed to provide users with real-time code explanations, edits, and completions. It has been optimized for JavaScript and Python, but Ghostwriter also supports 14 additional programming languages. 

This tool is handy if you are stuck on a specific line of code. Ghostwriter can break down the code, explain its functionality, and even suggest improvements and alternative solutions. This makes it a precious tool for both beginners and experienced developers alike. 

Pros:

• AI Code Completion & Explanation – Suggests code snippets and break down complex code
• Code Transformations – Refactors code for readability
• Bug Fixing & Debugging – Detects and suggests fixes for common coding errors.
• Multi-Language Support – Works with Python, JavaScript, Java, C++, HTML/CSS, and more.

Cons:

• Replit-Only – Works exclusively within the Replit IDE
• Limited Customization – Lacks the deep AI customization options found in enterprise-level AI coding assistants.
• Internet-Dependent – As a cloud-based tool, it requires an internet connection to function.
• Not Ideal for Large Codebases due to cloud limitations
   

Pricing Plans

• Replit Free: Basic Replit IDE access; No AI-powered Ghostwriter features
• Replit Core ($10/month or $96/year): Ai-powered code completions; Cloud-based collaborative coding
• Replit Pro ($20/month or $192/year): All core features
• Replit Team Plan (Custom Pricing): Enterprise-level collboration tools

5. Sourcegraph Cody

This AI assistant is explicitly designed to help developers enhance their code search capabilities. Sourcegraph Cody is an intelligent tool that allows you to find relevant code snippets and functionalities across massive codebases, saving you significant time.

Although it does not function as a code completion tool, Cody's strength lies in its ability to sift through vast amounts of code, making it an essential time-saver for developers working on large projects or unfamiliar code. 

However, it's important to note that Cody's effectiveness may be limited in cases where the codebase is poorly documented or highly complex. 

Pros:

• Code Search with AI Assistance – Finds relevant code snippets across entire repositories.
• Automated Code Refactoring – Suggests optimized, readable, and maintainable code improvements.
• AI-Powered Code Chat – Allows developers to ask questions about their codebase.
• Enterprise-Grade Security – Designed for organizations with strict compliance and security requirements.

Cons:

• Limited Free Plan
• Requires Sourcegraph Setup – Best used within organizations that already use Sourcegraph.
• Not Ideal for Beginners – More suited for experienced developers managing large projects.

Pricing Plans

• Cody Free: AI-powered code completions; Limited AI-powered chat
• Cody Pro ($9/month): Unlimited AI-powered completions
• Cody Enterprise (Custom Pricing): Self-hosted AI models;  Custom AI model training

6. AskCodi

AskCodi has comprehensive suite of features, including:

• Generating code in various programming languages, 
• Answering your programming questions in natural language, 
• Providing code suggestions and linting to help improve the readability of your code. 

Let's say you're working with a new programming language and are unsure how to write the code. AskCodi can not only translate your natural language questions into code but also analyze your existing code to suggest improvements for better readability and maintainability. 

Pros:

• Code Documentation Assistance – Automatically creates detailed documentation for functions and classes.
• Test Case Generation – Helps developers generate unit tests
• SQL Query Generator – Converts plain English into optimized SQL queries for databases.
• IDE Integration – Supports VS Code, PyCharm, JetBrains IDEs, and more.

Cons:

• Not as Advanced for Full Code Generation
• No Built-In Security Scanning
• Not Ideal for UI Development – Best suited for backend, database, and automation tasks

Pricing Plans

• Codi Free: Limited queries per day
• Codi Pro ($9.99/month or $99.99/year): Unlimited AI code completions; Full access to unit test generation
• Codi Enterprise (Custom Pricing): Self-hosted AI models; Integration with enterprise-grade CI/CD pipelines

7. CodeWP

Specifically designed for WordPress, CodeWP utilizes AI to simplify the process of website development by assisting with tasks like generating code from design mockups and writing clean, maintainable HTML and CSS. 

With CodeWP, you can provide a design mockup for your website and let the AI analyze the layout, generate the underlying code, and provide a solid foundation for you to build. 

This not only saves time and effort but also ensures that your website code is efficient, error-free, and optimized for performance. 

Pros:

• AI-Powered WordPress Code Generation – Writes PHP, JavaScript, and other WordPress-related code snippets.
• WooCommerce & Plugin-Specific Code – Generates custom WooCommerce hooks, shortcodes, and plugin integrations.
• Custom WordPress Functions – Automates the creation of custom post types, taxonomies, and queries.
• Snippet Library – Offers a collection of reusable WordPress code snippets.
   

Cons:

• Limited to WordPress Development – Not useful for non-WordPress projects.
• No IDE Integration – Works in the CodeWP platform, not directly in VS Code or JetBrains.
• Not Suitable for Large-Scale Development – Best for snippets and small functions, not full plugin or theme development.
   

Pricing Plans:

• Free Plan: Basic WordPress AI Code Generation; Limited daily requests; Access to snippet library
• Pro Plan ($12/month or $96/year): WooCommerce, Elementor, and plugin-specific AI
• Agency Plan ($30/month or $300/year): All Pro features

8. Gemini in Android Studio

Gemini is now incorporated into Android Studio as an AI coding companion that can help Android developers in generating code, finding relevant resources, learning best practices, and saving time.

Gemini is designed to help you optimize your Android app development process by:

• Suggesting improvements to your code, 
• Identifying potential layout problems that might occur on different screen sizes
• Refactor your code to promote better performance, reliability, and maintainability. 

With its advanced features and intuitive design, Android app development process can be a lot quicker and create high-quality, scalable, and efficient applications in less time.

Pros:

• XML UI Suggestions – Assists in designing Android UI layouts with AI-generated XML.
• Documentation Generation – Creates Javadoc/KDoc documentation for better code maintainability.
• Android API Assistance – Offers recommendations for Android SDK, Jetpack Libraries, and Compose.
• AI Chat for Coding Queries – Developers can ask Gemini for code examples, explanations, and optimizations.
• Deep Google Ecosystem Integration – Works seamlessly with Firebase, Google Play APIs, and Material Design components.
   

Cons:

• Limited to Android Studio – Not available for VS Code, JetBrains, or other IDEs.
• No Full-App Generation – Assists with code snippets but does not generate entire apps like AI-based low-code platforms.
• No Custom AI Training

Pricing Plans:

• Free for all Android Studio users
• Potential Pro/Paid features in future updates

9. BlackBox AI

BlackBox AI is a FREE code search engine designed to help developers find the most suitable code snippets for their projects. It supports over 20 programming languages and is compatible with popular IDEs and platforms such as VS Code, GitHub Codespaces, and Jupyter Notebook. 

This AI tool for coding enables you to perform code searches across vast public repositories without ever leaving your coding environment. With BlackBox AI, you can quickly discover reusable code snippets and accelerate your process.

Pros:

• AI Code Autocompletion – Predicts and completes code snippets in real-time.
• IDE Integrations – Available in VS Code, JetBrains, Jupyter Notebook, and other platforms.
• AI Code Search – Allows users to search for code snippets across GitHub and public repositories.
• Supports Over 20+ Programming Languages – Covers backend, frontend, data science, and scripting needs.
   

Cons:

• Not Ideal for Large-Scale Codebases
• No Built-in Security Scanning
• Not Fully Optimized for Cloud/Enterprise DevOps

Pricing Plans:

• Free Plan: Basic AI-powered code suggestions; Access to public code search
• Pro Plan ($9.99/month or $99.99/year): Unlimited AI-generated code completions; 
• Enterprise Plan (Custom Pricing): Integration with private repositories; Self-hosted AI models

10. Amazon SageMaker

SageMaker is a powerful AI platform that simplifies machine learning development. It offers pre-built algorithms, model hosting, and compatibility with frameworks like TensorFlow and PyTorch.

With SageMaker, you can easily build, train, optimize, and deploy ML models without dealing with infrastructure complexities. Its user-friendly interface lets you customize pre-built algorithms to fit your needs.

SageMaker also provides scalable and reliable model hosting with just a few clicks. It’s flexible, allowing the use of preferred tools, frameworks, and languages, and offers comprehensive documentation and support for quick and easy setup.

Pros:

• SageMaker Studio – A fully integrated ML development environment for building, training, and debugging models.
• Model Training & AutoML – Supports distributed training, hyperparameter tuning, and AutoML tools like SageMaker Autopilot.
• Supports Open-Source Frameworks – Compatible with TensorFlow, PyTorch, XGBoost, and Scikit-Learn.
• Built-in Security & Compliance – Ensures enterprise-grade security with IAM, VPC, and encryption support.

Cons:

• Limited UI-Based Model Training – More code-heavy than platforms like Google Vertex AI or Azure ML.
• AWS-Centric – Not as flexible for hybrid or on-premises environments as Google Vertex AI.
• Expensive for Small Projects – On-demand pricing can be costly for experimentation.

Pricing Plans:

• Free Tier: 50 GB of Amazon S3 storage for datasets
• On-Demand Pricing: Deployment: $0.05/hour per endpoint
• Enterprise Custom Pricing: AWS Enterprise Support available for large-scale ML workloads

11. DeepSeek V3

DeepSeek-V3 is a state-of-the-art Mixture-of-Experts (MoE) language model developed by the Chinese AI startup DeepSeek. The model employs advanced architectures such as Multi-head Latent Attention (MLA) and DeepSeekMoE, enhancing both efficiency and performance.

Pros:

• Multi-Token Prediction – Faster AI coding response time compared to GPT-4 and Claude.
• Mathematical & Logical Reasoning – Strong in algorithmic problem-solving and debugging.
• Supports Local Deployment – Can be installed locally, ensuring privacy and faster inference.
• Open-Source & Cost-Effective – DeepSeek-V3 is available for free to developers.

Cons:

• High Hardware Requirements – Running DeepSeek-V3 locally requires powerful GPUs or cloud-based hosting.
• Limited IDE Integrations (For Now) – Lacks native VS Code or JetBrains integration.
• Chinese-Origin Model – Some restrictions or compliance concerns may apply in certain markets.
   

Conclusion

This is just a sneak peek at the amazing AI coding tools out there. As AI keeps evolving, we’ll see even more powerful and versatile tools that will revolutionize coding. 

So, dive in, give these AI tools a try, find your favorites, and watch your development workflow take off! 

If your business are finding an IT expert team for state-of-the-art AI solutions, Golden Owl Solutions is here to support you right the way! Contact us today!

FAQs

Q1. What is the best AI tool for coding in 2025?

The best AI coding assistant depends on your needs:

• GitHub Copilot – Best for general coding and IDE integration.
• Amazon CodeWhisperer – Best for AWS-based development.
• DeepSeek-V3 – Best open-source AI with local deployment options.
• Tabnine – Best for privacy-focused, on-device AI coding assistance.
• Replit Ghostwriter – Best for cloud-based, beginner-friendly coding support.

Q2. Is AI-generated code secure?

Not always. AI tools can generate vulnerable code if not properly reviewed. Amazon CodeWhisperer includes security scanning, while other tools like GitHub Copilot recommend manual review to ensure best practices.

Q3. Is ChatGPT good for coding?

Yes, ChatGPT is useful for coding, but it depends on the version:

• GPT-4o (Pro) – Best for complex coding, debugging, and explanations.
• GPT-3.5 (Free) – Works well for basic code snippets and troubleshooting.

Q4. Should I use AI to write code?

Yes, but with caution. AI enhances productivity, but it should not replace human review.

Q5. How good is ChatGPT at writing Python code?

ChatGPT (especially GPT-4o) is excellent for Python coding, particularly for:

• Data Science & Machine Learning – Writing NumPy, Pandas, TensorFlow scripts.
• Automation Scripts – Generating Python scripts for task automation.
• Web Development – Creating Flask, Django applications.
• Debugging & Explanations – Finding errors and improving efficiency.