This list features 15 free AI coding tools for 2025, created with input from industry professionals. These recommendations are based on expert feedback and evaluation, not paid advertisements or sponsorships.
Best Free AI Tools For Coding – 2025
The following are the 15 best free AI coding tools for 2024:
- OpenAI Codex
- GitHub Copilot
- Cursor
- Replit
- Tabnine
- CodeT5
- Codiga
- PolyCoder
- Amazon CodeWhisperer
- AskCodi
- Google AI Studio
- CodeWP
- Snyk
- Sourcegraph
- Codeium
1.OpenAI Codex
OpenAI Codex is a super helpful best free AI tool for coding. It’s the brain behind GitHub Copilot and handles Python, JavaScript, Go, and many other languages.
Codex can:
- Write code based on comments
- Finish your half-written functions
- Clean up messy code
- Explain what code does
- Convert code between languages
- Find and fix bugs
While direct API access ended in 2023, you can still request special access. Most developers now use GPT-4 for similar coding tasks.
2. GitHub Copilot
GitHub Copilot integrates with IDEs like Visual Studio Code and JetBrains. It suggests code completions, generates functions, and provides context-based assistance.
Copilot helps automate tasks like generating tests, documentation, and comments. It also flags insecure coding practices.
While it improves productivity, it requires review for complex code. It doesn’t learn from private codebases. Copilot also offers plans for individuals and teams.
3. Cursor
Cursor, built by Anysphere on top of VS Code, uses LLMs from OpenAI and Anthropic to help with coding. It offers autocomplete, natural language edits, and codebase-aware suggestions.
It drew attention after refusing to generate over 800 lines of game code.
Despite that, it’s quickly gained over a million users, valued for speeding up workflows with minimal friction.
4. Replit
Replit is a browser-based IDE supporting 50+ languages with instant execution and live collaboration. It uses Nix for customization and includes AI tools for code completion, debugging, and generating code from text prompts.
You can deploy directly, manage secrets, and use custom domains. It’s great for prototyping, teaching, and remote teamwork.
However, it requires an internet connection and some Nix knowledge for advanced setups.
5. Tabnine
Tabnine helps you write code faster with smart completions and natural language support. It works with over 600 languages and provides context-based suggestions and code refactoring.
With privacy, ensuring your code isn’t stored. It integrates with IDEs like Visual Studio Code and JetBrains, and it automates tasks like generating unit tests.
It is available for free with Pro and Enterprise plans.
6. CodeT5
CodeT5 is a model from Salesforce that helps you with code understanding and generation. It uses an encoder-decoder structure, combining features of models like BERT and GPT.
It can turn natural language into code, predict completions, and summarize code. It also works with multiple languages and helps you find bugs or read code.
While CodeT5 outperforms models like CodeBERT, it’s less accessible than tools like GitHub Copilot.
7. Codiga
Codiga helps you write cleaner, more secure code by offering smart code snippets and automated code analysis. It integrates with IDEs like VS Code and JetBrains.
You can create reusable code snippets, share them with teams, and save time. It also scans your code for security vulnerabilities and performance issues in real time.
It automates code reviews, speeding up collaboration and maintaining code quality. It helps identify issues early, improving security and performance.
The free plan covers basics, while paid plans start at $12/month for advanced features.
8. PolyCoder
PolyCoder is an open-source AI tool built on GPT-2 for code generation. It supports 12 languages, focusing on C.
The model can turn your prompts into working code. It’s useful for tasks like prototyping, teaching, and refactoring legacy systems.
PolyCoder performs well in C but also works in other languages. Generated code may contain errors, so it needs reviewing. It’s integrated with popular IDEs as well.
9. Amazon CodeWhisperer
Amazon CodeWhisperer is an AI tool that helps generate code and integrates with AWS services. It supports 15 programming languages, offers suggestions based on your code and comments.
It scans for security issues and licensing problems in real time. You can use it with IDEs like VS Code or Cloud9.
It also ensures enterprise-level privacy and compliance. While it’s great for productivity, complex tasks or non-AWS-related code may still need manual review.
10. AskCodi
AskCodi helps you generate code, explain snippets, and assist with debugging. It supports languages like Python, Java, C#, and frameworks like React and Angular.
It can also generate DocStrings, create unit tests, and suggest code improvements.
It integrates with IDEs such as VS Code, PyCharm, and IntelliJ IDEA. The free plan offers basic features, while premium plans start at $9.99/month.
11. Google AI Studio
Google AI Studio, part of Vertex AI, helps you build and tune generative AI apps using models like Codey and Gemini. It supports code generation, debugging, and custom model tuning.
Codey APIs handle code tasks across 20+ languages. They also support infrastructure-as-code tools like Terraform and KRM.
Gemini adds natural language-to-code features and can explain or debug code. You can prototype in MakerSuite and fine-tune models using Vertex AI tools.
Security features include license checks and vulnerability scans. New users get $300 in credits to experiment.
12. CodeWP
CodeWP is built for WordPress. It helps you generate code for custom post types, taxonomies, hooks, and plugins – nothing generic, just WordPress-specific.
It supports tools like WooCommerce, ACF, and Elementor, with presets and chatbot help for debugging or writing. You can tweak output as needed.
There are security checks and a basic testing suite. Plans range from free to paid, with more actions and features.
Best suited if you’re already comfortable with WordPress.
13. Snyk
Snyk helps you catch and fix security issues as you code. It scans your own code, dependencies, containers, and infrastructure configs.
You can run checks right from your IDE, CLI, or pipeline without changing your workflow.
It flags vulnerabilities, license risks, and misconfigs early, with fix suggestions built in. It also tracks software bills of materials and helps you focus on what matters most.
It supports multiple languages and tools. Free for individuals and open-source, with paid options for teams and advanced needs.
14. Sourcegraph
Sourcegraph’s AI is a code intelligence platform that helps developers navigate large codebases. It offers semantic search, code navigation, batch changes, and an AI assistant, Cody, for debugging.
It integrates with GitHub, GitLab, and Bitbucket, and supports both cloud and self-hosted deployments. The core platform is open-source, with enterprise features available.
Best for large teams, but may be too much for smaller projects.
15. Codeium
Codeium helps by context-aware code completion, natural language-to-code generation, and AI chat for debugging and refactoring.
It supports 70+ languages and integrates with popular IDEs like Visual Studio Code and IntelliJ IDEA. The free tier offers unlimited access to features like autocomplete and AI chat.
Your Next Step?
So, evaluate the tools that match your development needs. Test them out in real-world scenarios. See how they integrate into your workflow.
Start with one or two and focus on specific tasks. Pay attention to their performance and ease of use.
Adjust as needed, and keep refining until you find what works best for your projects.
Happy coding!
Other Articles
A Guide to Using the OpenAI API with Python
How to Build a Personal AI Assistant Using Python
No Comment! Be the first one.