AI coding tools are no longer only for autocomplete. Today they work as full editors, terminal agents, IDE plugins, browser tools, and even CI/CD helpers. GitHub Copilot works across VS Code, Visual Studio, JetBrains, Xcode, and the web browser; Claude Code works in the terminal, IDE, desktop app, and browser; Cursor works across desktop, CLI, web, and mobile; Gemini Code Assist works in VS Code and supported JetBrains IDEs; and Amazon Q Developer, Continue, Tabnine, JetBrains AI Assistant, and Windsurf/Devin Desktop all fit into different parts of the developer workflow.
My honest first pick
If I have to pick one model for general coding, I would start with GPT-5.5. OpenAI says GPT-5.5 is their latest frontier model for coding and professional work, and their model guide says to start with GPT-5.5 for complex reasoning and coding. For long agentic coding runs, OpenAI also says GPT-5.3-Codex is their most capable agentic coding model to date, while Google says Gemini 3.5 Flash is their strongest agentic and coding model yet. Anthropic says Claude Opus 4.8 is its most capable Opus-tier model, and its model guide says xhigh effort is the best setting for most coding and agentic use cases on Opus 4.8 and 4.7.
1. GitHub Copilot
GitHub Copilot is still one of the safest default choices for most developers because it fits into normal IDE work very smoothly. GitHub’s official docs show Copilot support for VS Code, Visual Studio, JetBrains IDEs, Xcode, and the web browser, and it gives inline coding suggestions and chat help while you work.
2. Cursor
Cursor is a strong choice if you want an AI-first editor instead of just an AI plugin. Cursor’s product docs say it works across Desktop, CLI, Web, and Mobile, and its docs also cover Agent mode, Rules, Skills, MCP servers, and CLI support, which makes it very good for multi-step coding work.
3. Claude Code
Claude Code is one of the best tools for terminal-first developers and large codebase work. Anthropic says it can read your codebase, edit files, run commands, and integrate with your tools, and it is available in the terminal, IDE, desktop app, browser, VS Code, JetBrains IDEs, Slack, and CI/CD with GitHub Actions and GitLab.
4. Gemini Code Assist
Gemini Code Assist is a very good choice if you want IDE help plus code transformation and agent mode. Google says it works in VS Code, IntelliJ, and other supported JetBrains IDEs, and it can generate code, provide completions, and use smart actions. Google also says Gemini 3.1 Pro and Gemini 3.5 Flash can be used in Gemini Code Assist for agent mode, chat, and code generation.
5. Amazon Q Developer
Amazon Q Developer is the best fit for AWS-heavy teams. AWS says it helps you understand, build, extend, and operate AWS applications, and in IDEs it can help with generating and updating code, security scanning, and refactoring. AWS also documents VS Code extension support, JetBrains plugin support, and Visual Studio support.
6. JetBrains AI Assistant
JetBrains AI Assistant is the natural pick if your team already lives in IntelliJ IDEA, PyCharm, WebStorm, or other JetBrains IDEs. JetBrains says it is integrated into JetBrains IDEs, helps in AI Chat and in the editor, and can handle coding agents for multi-step tasks; JetBrains also has a VS Code version for people who want the same style outside JetBrains IDEs.
7. Continue
Continue is a good choice if you want an open-source coding agent and more control. Its docs say it is available as a CLI, a VS Code extension, and a JetBrains plugin, and it supports autocomplete, edit, chat, and agent mode.
8. Tabnine
Tabnine is a practical choice when privacy and compliance matter more. Tabnine’s docs say it is an AI code assistant installed as a plugin in your IDE, with code completions and chat, and its setup docs include VS Code Marketplace install, private installs, personalization, and Tabnine Agent.
9. Windsurf, now Devin Desktop
This one matters because the product name changed. Codeium’s current docs say Windsurf is now Devin Desktop, while the Windsurf plugins docs still describe support for JetBrains, VS Code, Visual Studio, Vim, NeoVim, Jupyter, Chrome, and other IDEs. If you are following older blog posts, this rename is worth noting.
10. Sourcegraph Cody
Sourcegraph Cody is mainly an enterprise choice now. The VS Code marketplace page says Cody gives autocomplete, chat, and commands, but it also notes that Cody is no longer available for non-enterprise users, so it is not the best default recommendation for general readers.
11. VS Code built-in AI language models
Visual Studio Code now has built-in support for AI language models. Microsoft’s docs say you can switch models for chat and inline suggestions, bring your own API key, and add custom endpoints, which makes VS Code very flexible if you want to test different models inside one editor.
12. Gemini CLI
Gemini CLI is useful if you want a terminal agent from Google. Google says it is an open-source AI agent for your terminal that uses a ReAct loop and can work with built-in tools and local or remote MCP servers to fix bugs, create features, and improve test coverage.
13. Claude Agent SDK
Claude Agent SDK is a strong choice if you want to build your own coding agent instead of using only a ready-made app. Anthropic says the SDK lets you build production agents that read files, run commands, search the web, edit code, and more, using Python or TypeScript.
14. Cursor Automations and Cursor SDK
Cursor is not only an editor anymore. Its official blog says Automations can run on schedules or be triggered by Slack messages, Linear issues, merged GitHub PRs, PagerDuty incidents, or webhooks, and Cursor’s blog also mentions a Cursor SDK for programmatic agents. That makes Cursor useful for teams that want always-on agent work, not just one-time code help.
15. GitHub MCP Server in IDE
If your coding work is tied to GitHub, this is worth knowing. GitHub says the GitHub MCP server works in Copilot Chat inside VS Code, Visual Studio, JetBrains IDEs, and Xcode, so you can do GitHub actions from inside the editor instead of switching tools all the time.
16. OpenAI API and CLI
OpenAI’s developer docs now include both the OpenAI CLI and the Codex area in the API docs, which makes OpenAI a good base for custom coding workflows. If you want to build your own internal coding helper, OpenAI’s API side is the cleaner way to do it than relying only on a single editor plugin.
17. GPT-5.5
GPT-5.5 is the model I would test first for general coding. OpenAI says it is the latest frontier model for complex reasoning and coding, and the model guide says to start with GPT-5.5 for complex reasoning and coding. OpenAI also describes it as a new class of intelligence for coding and professional work.
18. GPT-5.3-Codex
GPT-5.3-Codex is the model I would look at for longer agentic coding sessions. OpenAI says it is their most capable agentic coding model to date and that it is about 25% faster, which is a strong mix for refactors, repo-wide work, and longer execution tasks.
19. Claude Opus 4.8 and 4.7
Claude Opus 4.8 is one of the strongest options for coding and long-running agent work. Anthropic says it is the most capable Opus-tier model, and its model guide says xhigh effort is the best setting for most coding and agentic use cases on Opus 4.8 and 4.7.
20. Gemini 3.5 Flash and Gemini 3.1 Pro
Gemini 3.5 Flash is a very strong model when you want speed and agentic coding power together. Google says it is their strongest agentic and coding model yet, and Gemini 3.1 Pro is described as Google’s most advanced model for complex tasks and is available in Gemini Code Assist for VS Code and IntelliJ.
Which one should you use?
If you use VS Code every day, GitHub Copilot is the easiest starting point, and VS Code’s built-in model support gives you extra flexibility if you want to switch providers later. If you want a more agent-like workflow, Cursor and Claude Code are the strongest editor-first and terminal-first options. If you work heavily with AWS, Amazon Q Developer is the clearest fit, and if you want to build your own internal coding assistant, OpenAI’s API or Claude Agent SDK are better than a simple plugin.
Final thoughts
My simple ranking is this: GPT-5.5 for general coding, GPT-5.3-Codex for heavy agentic coding, Claude Code for terminal-first multi-file work, Cursor for an AI-first editor experience, GitHub Copilot for the safest everyday default, and Amazon Q or Gemini Code Assist when you are already inside AWS or Google ecosystems. That is the practical way to choose, because the best tool is the one that matches your daily workflow, editor, and deployment stack.