The Best AI Coding Assistants, from Autocomplete to Full Agents

AI coding tools now range from simple autocomplete to agents that read a whole repository, make changes across many files and run the tests themselves. Picking the right one depends less on which model is "smartest" and more on how you like to work: inside your editor, in the terminal, or by handing off whole tasks.

This guide sorts the leading tools into four groups so you can find the right fit quickly.

Assistants inside your editor

These tools sit in the editor you already use and help as you type, with a chat panel for questions and bigger edits.

GGitHub CopilotCode completion and chat inside your editor.Freemium

The most widely used assistant, and the safe default for teams on GitHub. It works in VS Code, JetBrains IDEs and more, and its agent mode can take on multi-step tasks.

GGemini Code AssistGoogle's AI coding assistant, free for individuals.Freemium

Google's assistant has one of the most generous free tiers for individual developers, plus automated code reviews on GitHub.

JJetBrains AI AssistantAI built into IntelliJ, PyCharm and other JetBrains IDEs.Freemium

If you live in IntelliJ, PyCharm or WebStorm, this is the most natural choice, because it uses the IDE's own understanding of your project.

AI-first editors

These editors are built around AI from the start, so the agent can see your whole project and make coordinated changes.

CCursorAI-first code editor.Freemium

The best-known AI editor. Familiar if you come from VS Code, with fast completions and an agent that edits across files.

WWindsurfAI-native code editor with an agent built in.Freemium

A strong alternative with its Cascade agent, which follows what you are doing and can run terminal commands.

Coding agents you delegate to

Instead of helping line by line, these agents take a task, work on it and come back with changes for you to review.

CClaude CodeAgentic coding assistant in your terminal, IDE and browser.Paid

Works in the terminal, IDEs and on the web. It explores your codebase, plans, edits files and runs tests until the task is done. Especially good on large, real-world projects.

OOpenAI CodexOpenAI's coding agent in the cloud, terminal and IDE.Paid

OpenAI's agent runs tasks in cloud sandboxes connected to your repository and proposes pull requests. Convenient if your team already pays for ChatGPT.

DDevinAutonomous AI software engineer for teams.Paid

Built to act like a junior engineer that takes tickets from Slack or Jira. Best for well-defined, routine work such as migrations and bug fixes.

App builders for prototypes

If you want a working app or interface from a description, these tools generate the code and host it for you.

vv0Vercel's AI app builder for web interfaces.Freemium

The quickest path to polished React and Next.js interfaces, with one-click deployment on Vercel.

LLovableDescribe an app, get a working web app.Freemium

Turns plain-language descriptions into full web apps, which makes it popular with founders and non-developers testing ideas.

For companies with strict security rules

TTabninePrivate AI coding assistant for enterprises.Paid

Can run in a private cloud or on your own servers, and does not train on your code. The pick when privacy requirements come first.

How to get good results

• Start small. Give an agent a narrow, clearly described task before trusting it with bigger ones.
• Review every change. Read the diff and run the tests, just as you would for a colleague's pull request.
• Share context. Point the tool to the relevant files, conventions and error messages.
• Watch your data. Check your company's policy before sending private code to any cloud service.

Quick picks

• Best all-round editor assistant: GitHub Copilot.
• Best free option: Gemini Code Assist.
• Best for large codebases and multi-step tasks: Claude Code.
• Best AI-first editor: Cursor.
• Best for quick prototypes: v0 or Lovable.
• Best for privacy-sensitive companies: Tabnine.