Best AI Agents for Shipping Code

17 entries shown

1. 1Claude Code

   Tool · Effort: Low

   Verdict: One of the strongest general-purpose coding agents for builders who live in the terminal. It works across the whole repo, runs your tests and commits. Best results come from a CLAUDE.md with project conventions and small, well-described tasks.

2. 2Claude Code GitHub Actions: @claude in issues and PRs

   Use case · Effort: Medium

   Verdict: A low-friction way to put a coding agent inside your existing GitHub flow. Good for small fixes, follow-ups from review and docs updates. Keep permissions tight and treat its PRs like any contributor's.

3. 3Turn a GitHub issue into a PR with Copilot cloud agent

   Use case · Effort: Low

   Verdict: The most native issue-to-PR flow if your team already pays for Copilot. It researches the repo, plans and pushes a PR you review like any other. The quality of the issue text decides the quality of the PR.

4. 4Cursor Cloud Agents

   Tool · Effort: Low

   Verdict: If Cursor is already your editor, cloud agents are the natural way to parallelise. Kick off several scoped tasks, then review branches. Worth it once your repo has good tests and rules.

5. 5Cursor Bugbot for PR review

   Tool · Effort: Low

   Verdict: A useful second pair of eyes, especially for solo builders shipping agent-written code. Configure BUGBOT.md rules so it checks what matters in your repo. It does not replace tests.

6. 6OpenAI Codex CLI

   Tool · Effort: Low

   Verdict: A solid terminal agent if you're in the OpenAI ecosystem or already pay for ChatGPT. Open source, so you can inspect what it does. Pair it with an AGENTS.md describing how to build and test your project.

7. 7Codex Cloud: delegate tasks to cloud sandboxes

   Tool · Effort: Medium

   Verdict: Good for batching small, independent tasks against a GitHub repo while you do something else. Each task runs in its own environment. Set up the environment script carefully or tasks fail on install.

8. 8Aider

   Tool · Effort: Low

   Verdict: A mature, model-agnostic choice for builders who want control over which LLM they use and cost. Every change is a git commit, so it's easy to undo. Less autonomous than cloud agents, which is often a feature.

9. 9Auto lint-and-test fix loop with Aider

   Use case · Effort: Low

   Verdict: A simple setting that makes any agent noticeably more reliable: it closes the loop with your own checks. If you set up only one thing, set up this.

10. 10Give your agent a conventions file

    Use case · Effort: Low

    Verdict: Cheap to write, high payoff. Every serious agent supports a rules or conventions file (CONVENTIONS.md, CLAUDE.md, AGENTS.md, Cursor rules). Keep it short and specific.

11. 11Cline

    Tool · Effort: Low

    Verdict: Great for builders who want an agent inside VS Code with their own API keys and an approval step for each action. Transparent and configurable. Watch token spend on big tasks.

12. 12Devin

    Tool · Effort: Medium

    Verdict: Aimed at engineering teams that want to hand off whole tickets to parallel cloud agents, with Slack and ticket integrations. Heavier and pricier than a CLI agent; it pays off when you have volume.

13. 13Jules by Google

    Tool · Effort: Low

    Verdict: A clean async flow with an explicit plan-approval step, which keeps you in control. Label an issue 'jules' to assign it from GitHub. A free tier makes it easy to try on chores like dependency bumps.

14. 14Gemini CLI

    Tool · Effort: Low

    Verdict: A capable, open-source terminal agent and an easy one to try if you have a Google account. Large-context Gemini models suit big codebases and doc-heavy tasks. Supports MCP for extra tools.

15. 15opencode

    Tool · Effort: Low

    Verdict: A good pick if you want a polished terminal agent that isn't tied to one model vendor. Open source and provider-agnostic, so you can switch models as prices and quality move.

16. 16OpenHands

    Tool · Effort: High

    Verdict: The go-to open-source option if you want Devin-style agents on your own infrastructure. More setup than a hosted tool, but you control models, data and sandbox.

17. 17CodeRabbit

    Tool · Effort: Low

    Verdict: A popular AI reviewer that sits on your PRs and summarises and critiques changes. Useful when agents write a lot of your code and you need a consistent review baseline. Tune it or it gets noisy.