Vibeleaderboard

What are the best AI coding agents?

Compare Claude Code and Codex CLI for terminal-based repository work, Cursor and Cline for an editor workflow, and Aider for focused edits. Choose using a real task: accepted changes, verification, intervention time, and total cost.

A useful trial starts with clear acceptance criteria and a repository you understand well enough to review. Give the agent your project instructions, test commands, and permission boundaries. The recommendations below are editorial starting points based on product documentation; they are not results from a comparative benchmark.

Surveyed 10 September 2026

Compare agents on one real change

  1. Choose a small bug with a failing test and a second task that crosses files. Give each agent the same checkout, instructions, permissions, and acceptance criteria.
  2. Record whether the fix passes your existing checks, whether you understand the diff, and how often you had to intervene. Include any new regression test in your review.
  3. Compare total time and actual usage cost for the accepted change. A fast first draft that takes an hour to repair is not a cheap result.

Code with an agent

Open in Tools →
No.Tool
  1. 01
    Claude Code

    Consider it for repository work through a terminal, with file edits and command execution in the same session.

    Tradeoff: Its access to your tools makes project instructions and permission settings consequential. Review the diff and test output before accepting a change.

    Alternative: Compare Codex CLI on the same issue; choose Cursor when working alongside the agent in an editor is the priority.

    Product documentation
    Developer Tools
  2. 02
    Codex CLI

    Consider it when you want a terminal agent that can inspect a checkout, edit files, and run local commands.

    Tradeoff: Running the client locally does not by itself mean model inference stays on your machine. Check the selected provider and execution permissions.

    Alternative: Compare Claude Code for the same repository workflow, or Aider for a more focused editing session.

    Product documentation
    AI Agents
  3. 03
    Cline

    Consider it for agent-assisted edits inside your editor, where you can inspect proposed file changes and approve actions as you work.

    Tradeoff: The approval loop gives you visibility but adds interaction. Evaluate the model configuration and the agent together; they are not interchangeable results.

    Alternative: Try Cursor if you want an integrated editor experience, or a terminal agent for work you mostly review after a run.

    Product documentation
    Developer Tools
  4. 04
    goose

    Local open-source AI agent from Block that builds projects, writes and executes code, and debugs issues autonomously.

    Developer Tools
  5. 05
    Cursor

    Consider it when you want to stay in an editor while moving between code, agent requests, and review.

    Tradeoff: Adoption includes the editor workflow as well as the agent. Check whether its navigation and review experience fit how your team already works.

    Alternative: Use Cline if keeping your existing supported editor is the stronger requirement.

    Product documentation
    Developer Tools
  6. 06
    Aider

    Consider it for focused edits where selecting files and supplying repository context are part of your workflow. Its repository map helps surface relevant definitions across files.

    Tradeoff: A repository map is useful context, not proof that the model understood every dependency. Keep the edit scope and verification commands explicit.

    Alternative: Compare Claude Code or Codex CLI when you want a broader command-driven workflow around the code change.

    Product documentation
    Developer Tools
  7. 07
    OpenCode

    Open source AI coding agent that runs in the terminal, IDE, or a desktop app and supports over 75 LLM providers.

    AI Agents
  8. 08
    Gemini CLI

    Google's open-source command-line agent that brings Gemini models into the terminal.

    Developer Tools
  9. 09
    OpenHands

    Open-source autonomous software development agent, formerly OpenDevin, run self-hosted or on a hosted cloud.

    Developer Tools
  10. 10
    Devin

    Cognition's autonomous coding agent that plans and executes software engineering tasks end to end.

    Developer Tools
  11. 11
    Amp

    Sourcegraph's agentic coding tool that works from both the terminal and the editor.

    Developer Tools
  12. 12
    Devin Desktop

    AI IDE with agentic coding workflows and deep understanding of existing codebases.

    Developer Tools
  13. 13
    Factory

    An enterprise platform where autonomous coding agents called Droids handle coding, testing, and deployment tasks.

    AI Agents
  14. 14
    Google Antigravity

    Google's agentic dev platform combining an IDE, CLI, and SDK for managing multiple parallel coding agents.

    AI Agents
  15. 15
    Kilo Code

    Open-source coding agent across VS Code, JetBrains, CLI, and cloud, with access to 500+ models and no inference markup.

    AI Agents
  16. 16
    Qoder

    Agentic coding platform spanning an IDE, CLI, and cloud agents that plan and iterate on real-world software tasks.

    Developer Tools
  17. 17
    Kimi Code CLI

    Terminal coding agent built on Moonshot AI's Kimi models that edits code, runs commands, and plans its own next steps.

    AI Agents
  18. 18
    Grok Build

    xAI's terminal-based coding agent — a full-screen TUI that edits files, runs shell commands, and manages long tasks.

    AI Agents

A curated selection in editorial order. Use the fit and evidence to judge it for your task. Something missing?

What to look for

  • 01Can it run tests and read the output? An agent that cannot verify its work hands you unreviewed guesses.
  • 02How does it find context — search, indexing, or whatever you pasted? This dominates quality on large repositories.
  • 03What does an hour cost, and can you cap it? Per-token pricing on a long autonomous run is easy to misjudge.

Common questions

Do benchmark scores predict which coding agent is better?
Benchmarks can provide evidence about a defined task and configuration. They do not establish which agent will work best with your repository, permissions, instructions, and review process. Compare candidates on a change you can verify.
Should I use a terminal agent or an editor extension?
Choose a terminal workflow when commands and repository operations are central to the task. Choose an editor integration when you want to inspect and adjust changes alongside the agent. Both can work across files; compare the actual review experience.

Head-to-head

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