Collection Coding AI 2026.06.11

A Collection of AI Tools to Boost Your Coding Speed

From Autocomplete to Code Generation, AI Coding Tools for Developers

We are now in an era where we write code with AI. With assistance in autocomplete, bug fixing, and function generation, it greatly enhances developer productivity.

The tools vary from editor add-ons to code editors built around AI. It's important to choose the tool suitable for your working environment and language.

We’ve gathered popular AI coding tools used by developers. Try out the free plans to see which one fits you best.

Claude Code

A terminal-based coding tool from Anthropic that understands the codebase and allows file editing, execution, and debugging through commands alone. It features an agent-based approach that handles multiple steps automatically. It's used for practical tasks like test execution and refactoring.

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GitHub Copilot

A representative coding assistant AI created by GitHub and OpenAI, it reads the context of the code being written and suggests the next line or entire functions. It helps with code explanations and modifications via autocomplete and chat in major editors like VS Code, significantly reducing time spent on repetitive tasks and boilerplate writing.

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Cursor

A code editor designed around AI, it allows code generation and modification using only natural language commands. It understands the context of the entire project, handling changes across multiple files, and allows you to ask questions about the code instantly. Based on VS Code, it adapts easily to existing environments.

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Windsurf

An AI code editor that operates on an agent approach, designed to manage tasks across multiple files in a flow-conducive manner. It tracks the context of the code, automatically suggesting modifications and generations. Ideal for developers looking for an AI-centric development environment.

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Codeium

A code autocomplete and search tool that you can start using for free, supporting a wide range of editors and programming languages. It offers code suggestions and chat-based explanations, making it suitable for those who want to try coding AI without any pressure.

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Tabnine

A code autocomplete AI that emphasizes privacy and security, supporting options that do not leave code outside and enterprise distribution. It works across various editors and languages, making it a choice for teams with strict security policies.

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Amazon Q Developer

An AI provided by AWS for developers, assisting with code suggestions as well as AWS environment work and problem-solving. It also offers features like security vulnerability checks and code conversion, making it particularly useful in AWS-based development environments.

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Replit AI

An AI integrated into the browser development environment Replit, handling code generation, explanation, and debugging all in one place. You can start coding and executing results immediately without installation. Ideal for learning or rapid prototyping.

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v0 by Vercel

A generative tool that creates screen (UI) code based on descriptions, specialized for web frontend design mockups. The components created can be directly used in projects, making it useful for quickly transferring designs into code.

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JetBrains AI Assistant

An AI integrated into JetBrains IDEs like IntelliJ and PyCharm, assisting with code generation, explanation, refactoring, and commit message writing. This allows for natural usage within the IDE you’re familiar with, making it well-suited for JetBrains environment users.

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Choosing a coding AI depends on compatibility with the editor/language and security policies. Decide whether to start with an editor add-on or switch to an AI-centric editor.

Most offer free plans or trials, so it’s advisable to use them in actual work for a few days to find the tool that suits you best.

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