AI has found its way into almost all types of workspaces, so why should coding be behind? Now, developers donโt have to spend hours figuring out difficult code. Instead, artificial intelligence can make their work easier. From auto-complete suggestions to intelligent code reviews, these best AI tools are especially created for amateur to pro-level developers. So, letโs uncover them together!
Best AI Tools for Developers
Now you can save time, cross-check any errors, and even learn new codes with your new coding companions.
1. GitHub Copilot
GitHub Copilot, developed by GitHub and OpenAI, serves as an AI-powered code completion tool. It suggests entire lines or blocks of code in real-time, enhancing the development process by providing context-aware suggestions. This tool aids in writing code more efficiently and reduces the likelihood of errors.
2. Tabnine
Tabnine integrates with various IDEs to offer intelligent code completions. Supporting multiple programming languages, it learns from your coding patterns to provide personalized suggestions, thereby boosting productivity and minimizing repetitive coding tasks.
3. Snyk
Snyk is a developer-first security tool that employs AI to detect and fix vulnerabilities in your code, dependencies, containers, and infrastructure as code. It integrates into your development workflow, offering real-time security insights to ensure your applications are secure from the outset.
4. Bugasura
Bugasura offers a modern approach to bug tracking, focusing on simplicity and collaboration. It allows developers and testers to report, track, and resolve bugs, all in one platform. With features like in-app annotations and seamless integrations, Bugasura is one of the best AI tools for developers. It also sees that feedback loops are tight and actionable, leading to faster resolutions and improved software quality.
5. PolyCoder
PolyCoder offers an open-source approach to code generation, focusing on lightweight performance and speed. Itโs especially efficient with C code, but supports other languages too. Since itโs community-driven, it appeals to developers who like flexibility and open tooling. Great for hackers, learners, or anyone wanting more transparency in AI coding tools.
6. Amazon CodeGuru
Amazon CodeGuru offers intelligent recommendations to enhance code quality and identify performance bottlenecks. Utilizing machine learning, it analyzes your code and suggests optimizations, aiding in writing efficient and maintainable code.
6. PyCharm
PyCharm is a Python IDE that incorporates AI features to assist in code completion, error detection, and code navigation. It offers smart code suggestions and refactoring tools, streamlining the development process and helping developers write clean and efficient Python code.
7. IntelliCode
Visual Studio IntelliCode enhances the IntelliSense experience by providing context-aware code completions based on patterns learned from thousands of open-source projects. It prioritizes the most relevant suggestions, thereby boosting developer productivity.
8. Qodo
Qodo, previously called CodiumAI, helps you write meaningful test cases as you code by analyzing your functions and suggesting test logic automatically. It understands what your code is doing and prompts edge cases you mightโve missed. This keeps your code reliable and testing thoroughโwithout switching tools. Itโs great for devs focused on clean, testable code.
9. Jupyter Notebooks 
Jupyter Notebooks can be augmented with AI extensions that provide features like code autocompletion, error detection, and intelligent code suggestions. These enhancements leverage machine learning to assist in data analysis and visualization tasks, making Jupyter Notebooks more powerful and user-friendly for data scientists and developers alike.
10. Kilo Code
Kilo Code provides AI-based code completions for Java for VS codes. By learning from millions of code snippets, it offers context-aware suggestions, enhancing code quality and speeding up development.
11. Sourcery
If youโre a Python developer, Sourcery is like magic for your code. It automatically suggests cleaner, more Pythonic ways to write what you already have. It catches inefficiencies, simplifies logic, and even explains why the suggestions are better. A must-have for anyone who wants to level up their code without rewriting everything by hand.
12. Bito
Bito blends ChatGPT-like AI with coding functionalityโthink instant explanations, refactoring help, and inline code comments. It integrates directly with VS Code and JetBrains IDEs, so you donโt have to jump tabs. Developers love it for speeding up documentation and improving code clarity. Itโs made for those who want smart help, right where they work.
13. Windsurf
Windsurf is a free AI code assistant that suggests smart completions in real-time across 70+ languages. It integrates with IDEs like VS Code and JetBrains, making it easy to adopt. Whether you’re coding solo or in a team, it speeds up writing and debugging without getting in the way. Think of it as autocompleteโbut on steroids.
14. WhatTheDiff
WhatTheDiff updates the code review process by providing AI-generated summaries of code changes. Instead of sifting through extensive diffs, reviewers receive concise overviews, highlighting the essence of modifications. This rushes the review cycle, makes better collaboration, and ensures that critical changes receive the attention they deserve. It’s a game-changer for teams looking to enhance their code review efficiency.
15. Mintlify
Mintlify takes the hassle out of writing documentation by integrating directly with your codebase. It analyzes your code to generate clear, concise, and up-to-date documentation. This ensures that your documentation evolves alongside your code, reducing manual effort and improving code readability. For teams aiming to maintain high-quality documentation without the overhead, Mintlify is an invaluable tool.
16. Scribe
Scribe has changed how developers document their workflows. By capturing your on-screen actions in real-time, it automatically generates step-by-step guides, complete with screenshots and annotations. This not only saves time but also ensures consistency in documentation across teams. Whether onboarding new members or creating tutorials, Scribe simplifies the process, making knowledge sharing seamless and efficient.
17. AskCodi
AskCodi offers a conversational interface tailored for developers where you can ask how to write functions, debug errors, or generate snippets. It supports front-end, back-end, and even database queries. Great for those who prefer to โask and codeโ rather than dig through docs. Itโs like Stack Overflow, but faster and built into your IDE.
18. MutableAI
MutableAI helps speed up coding by auto-completing large chunks of code and cleaning up your functions with AI-powered suggestions. It also supports docstring generation and automatic formatting. If you’re juggling feature builds and bug fixes, this tool can seriously reduce grunt work. A productivity booster every coder needs.
19. CodeT5
CodeT5 is a transformer-based model designed to generate, translate, and summarize code in multiple programming languages. Itโs especially useful for understanding large codebases and simplifying documentation. Developers use it to reduce mental load when navigating legacy or complex systems. It’s like having a translator for your own code.
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By following the methods shown in this guide, we hope that you now have the best AI tools for developers. Do not hesitate to drop a comment or suggestions in case you have any queries. Keep visiting TechCult to learn more tech-related walkarounds.
