XDA’s “I tried to go back to standard VS Code after a week of agentic coding” piece described what most working developers have felt since mid-2025: once you have a coding agent that can read across files, plan a change, edit, run tests, and report back, plain autocomplete feels like a regression. The tools that earn the “agent” label do more than complete the next token — they take a goal, decompose it, and verify their work.
We tested the 8 best AI coding agent apps for desktop. The list spans full editor replacements with agents built in, agents that live as extensions inside VS Code, and headless CLI tools that drop into any editor or terminal. Each pick is judged on how well it plans multi-file changes, how trustworthy its edits are without supervision, and how cleanly it integrates with the rest of a working developer’s stack.
What to look for in an AI coding agent
Pick a coding agent that:
- Reads the whole repository, not just the open file. The interesting work is rarely confined to one buffer.
- Plans before it writes. Agents that jump straight to edits without showing their plan produce more retries.
- Runs commands and reads their output. A change is not done until the tests pass, and an agent that cannot run the tests is doing half the job.
- Lets you approve or reject every edit. Auto-apply is a footgun until you trust the agent on the codebase in front of it.
- Speaks MCP or a similar tool protocol. The interesting integrations of 2025 — databases, ticket systems, browsers — live behind MCP servers, and agents that cannot consume them are losing ground.
Quick comparison
| App | Best for | Platforms | Free plan | Starting price/mo |
|---|---|---|---|---|
| Cursor | Full editor replacement with agent | Windows, macOS, Linux | Yes, limited | Around $20/mo |
| Claude Code | Terminal-native agent across any editor | Windows, macOS, Linux | Trial | Around $20/mo with API |
| Cline | Open-source agent inside VS Code | Windows, macOS, Linux | Yes (bring your own key) | API costs only |
| Windsurf | VS Code fork with Cascade flow | Windows, macOS, Linux | Yes, limited | Around $15/mo |
| Continue | Open-source AI extension for VS Code and JetBrains | Windows, macOS, Linux | Yes (bring your own key) | API costs only |
| Aider | CLI agent with git integration | Windows, macOS, Linux | Yes (bring your own key) | API costs only |
| Zed | Native editor with built-in agents | Windows, macOS, Linux | Yes, limited | Around $20/mo |
| GitHub Copilot Workspace | Agent integrated with pull requests | Web, VS Code | Trial | Around $10/mo |
The 8 best AI coding agent apps for desktop
1. Cursor — best full editor replacement with agent
Cursor is the fork of VS Code that put agentic coding into a mainstream tool first, and it remains the smoothest experience for most working developers. The Composer flow plans multi-file changes, shows a diff before applying, and runs tests when asked. The keymap, extensions, settings.json, and most of the muscle memory transfer directly from VS Code. Anthropic’s Claude models are the default driver, with optional model switching for cost or speed.
Where it falls short: The price tier with full agent access is on the higher end of the category, and the indexing of very large monorepos still has rough edges. The fork lags VS Code releases by a few weeks on average.
Platforms: Windows 10/11, macOS, Linux.
Bottom line: The right pick if you want to switch editors once and have agents on by default.
2. Claude Code — best terminal-native agent across any editor
Claude Code is the agent that does not care which editor you use. It runs in a terminal, reads and edits files in the current directory, runs commands, and reports back. Pair it with VS Code, JetBrains, Neovim, or no editor at all — the working contract is the same. The agent is unusually disciplined about asking before destructive operations and reading enough context to make non-trivial changes correctly the first time.
Where it falls short: No in-editor diff UI by default — you read the changes after the fact in your editor’s git view. The API token cost adds up on large refactors and is not capped by a flat subscription.
Platforms: Windows, macOS, Linux. Installable via npm.
Bottom line: The right pick for developers who already have an editor they love and want the agent to work alongside it.
3. Cline — best open-source agent inside VS Code
Cline is the open-source VS Code extension that gives the rest of the ecosystem a credible agent without leaving the editor. Bring your own API key — Claude, OpenAI, OpenRouter, or any OpenAI-compatible local endpoint like Ollama — and Cline takes over the agentic workflow inside VS Code. The MCP server support lets it pull in browsers, databases, and ticket systems as tools.
Where it falls short: Performance depends entirely on the underlying model and your API budget. The UX has improved through 2025 but still feels like an extension panel rather than a first-class flow.
Platforms: Windows, macOS, Linux — any VS Code install.
Bottom line: The right pick for developers who want an agent inside VS Code without committing to a closed-source product.
4. Windsurf — best VS Code fork with flow-based agent
Windsurf (from Codeium, now part of OpenAI) is the other major VS Code fork with agents at the center. The Cascade feature plans, edits, and verifies in a single flow, and the model-routing behind the scenes picks faster models for quick edits and stronger ones for planning. The free tier is more generous than Cursor’s, and the upgrade path is cheaper.
Where it falls short: The fork has churned through pricing models several times. Some power features are still better in Cursor.
Platforms: Windows, macOS, Linux.
Bottom line: A real alternative to Cursor on a smaller budget, with a similar workflow.
5. Continue — best open-source extension for VS Code and JetBrains
Continue is the open-source agent extension that works in both VS Code and the JetBrains IDEs. Configuration is a YAML file you can check into the repo, which makes “the agent setup for this project” something the whole team shares. Bring your own model keys, run local models through Ollama, or mix providers per task.
Where it falls short: The agent capabilities are less aggressive than Cursor or Cline by default — closer to “smart autocomplete with chat” than fully autonomous planning. You configure it into being an agent.
Platforms: Windows, macOS, Linux. Extensions for VS Code and IntelliJ family IDEs.
Bottom line: The right pick when half your team is on JetBrains and the other half is on VS Code, and you want one configuration that works in both.
6. Aider — best CLI agent with git integration
Aider is the CLI agent built around git. Every edit becomes a git commit with an attributed message, which makes the agent’s work reviewable through normal git log and git diff. The pair-programming flow — describe the change, see the diff, accept or revise — is the cleanest of the CLI tools, and the command-line argument surface is friendly enough for shell scripting.
Where it falls short: No interactive editor; the workflow assumes you already have your code in an editor and you switch to Aider in a terminal to make changes. Large repositories need configuration to avoid context bloat.
Platforms: Windows, macOS, Linux. Installable via pip or uv.
Bottom line: The right pick when you want every agent edit to land as a reviewable git commit by default.
7. Zed — best native editor with built-in agents
Zed is the rare modern editor that is not a VS Code fork. The Rust-based core is fast, the collaborative editing actually works, and the agent panel ships in the editor itself. Through 2025 it added the planning and multi-file editing patterns that Cursor and Windsurf made standard. Bring your own API key or use Zed’s hosted tier.
Where it falls short: The extension ecosystem is younger than VS Code’s. Language servers and debug adapters cover the major languages but not every niche.
Platforms: macOS, Linux, with Windows now stable after a long preview.
Bottom line: The right pick for developers who care about editor performance and are willing to leave VS Code’s extension catalogue behind.
8. GitHub Copilot Workspace — best agent integrated with pull requests
GitHub Copilot Workspace is the agent that lives inside the pull-request flow. Open an issue, hand it to Workspace, and the agent proposes a plan, generates the changes as a draft pull request, and writes the description. The integration with GitHub Actions, repository secrets, and team review processes is unmatched.
Where it falls short: It is bound to GitHub — no GitLab or Bitbucket version. Outside the PR flow, it falls back to the older Copilot autocomplete experience.
Platforms: Web, plus VS Code and JetBrains plugins for editor-side use.
Bottom line: The right pick when your team’s workflow already centers on GitHub PRs and you want the agent to live where the review happens.
How to pick the right one
If you are starting from scratch and want one tool that does most of the agentic work, install Cursor and skip the configuration. If you already have an editor you love and want an agent alongside it, install Claude Code in your terminal.
If “open-source extension inside VS Code” is the constraint, install Cline and bring your Claude or OpenRouter key. If half your team is on JetBrains, Continue is the only option that covers both editors with one configuration. If every agent edit needs to land as a git commit, use Aider.
If you have a smaller budget than Cursor’s tier, Windsurf covers the same flow more cheaply. If you care about editor performance and are willing to leave the VS Code ecosystem, Zed is the modern native editor. If your team lives in GitHub pull requests, Copilot Workspace meets the agent where the review happens.
FAQ
What is the best AI coding agent for VS Code?
For paid use with the smoothest experience, Cursor (a VS Code fork) is the default pick. For an open-source extension inside the original VS Code, Cline is the strongest agentic option. Continue is the right choice if you also need JetBrains compatibility with one configuration.
Can I run a coding agent on a local LLM?
Yes — Cline, Continue, and Aider all support OpenAI-compatible endpoints, which means any local model served through Ollama, LM Studio, or LocalAI works. Performance on agentic tasks is the bottleneck: 7B and 8B models can do quick edits, but multi-file planning needs a 32B or 70B class model to feel comparable to a frontier hosted model.
Are AI coding agents safe for production code?
The agents themselves are safe; the diffs they produce need the same review as any other code change. Treat agent commits like a pull request from a junior contributor: read every diff, run the tests, and reject anything that touches files outside the scope you set. The dangerous mode is “auto-apply without review.”
How much does an AI coding agent cost?
The hosted editors (Cursor, Windsurf, Zed Pro) charge a flat monthly fee with an included model usage allowance. Open-source extensions (Cline, Continue, Aider) charge nothing for the tool itself but pass model costs through to your Anthropic, OpenAI, or OpenRouter bill. A realistic mid-sized refactor on Claude through Cline runs a few dollars in API spend.
What do AI coding agents do that autocomplete cannot?
Autocomplete suggests the next few tokens at the cursor. Agents read the project structure, plan a change across files, edit each file, run tests, read the output, and iterate until the result matches the goal. The difference is the equivalent of pair-programming with a colleague versus typing one character at a time with a hint window.
