Agentcode vs Devin
Agentcode vs Devin: review and merge stays yours
Devin is an autonomous AI engineer with its own cloud workspace. Agentcode is an autonomous agent that meets you in GitHub, where review and merge stay yours.
No card to start · Review-first: the agent never merges
In short
Devin is an autonomous AI engineer that works in its own cloud IDE and workspace, taking on tasks end to end inside that environment. Agentcode is a PR-native agent that connects to your existing GitHub or GitLab repo, takes a described task, plans it, edits the code, runs your tests, and opens a pull request you review and merge. Devin centers on its own workspace; Agentcode keeps the work in your repo and CI, where review and merge stay with your team. Choose Devin for a self-contained autonomous environment, and Agentcode to keep changes in your existing GitHub flow with you in control of every merge.
Where Devin shines
Devin is an ambitious autonomous AI engineer that operates in its own cloud IDE and workspace, able to take on broad, open-ended tasks from end to end.
Where Agentcode is different
Devin works in its own cloud IDE and environment, which gives it a lot of room to run but also moves the work into a separate workspace. Agentcode keeps everything in the place your team already trusts. It is PR-native: you describe a task, the agent plans it, edits the codebase, runs your tests, and opens a pull request directly on your existing GitHub or GitLab repo. The change arrives as a reviewable PR with passing tests, and review and merge stay yours. Agentcode never merges on its own and never trains on your code. If you want an agent that fits your existing repo, CI, and review process rather than a separate workspace, Agentcode keeps you in control of every merge.
| How they compare | Agentcode | Devin |
|---|---|---|
| Deliverable | A described task becomes a reviewable pull request | Completed work inside its own cloud workspace |
| Where it runs | On your existing GitHub or GitLab repo and CI | In its own cloud IDE and workspace |
| Tests before review | Runs your test suite and reports results in the PR | Runs tests within its own environment |
| Control | You review and merge; it never merges on its own | Autonomy centered in its own workspace |
| Setup | Connect a repo; no separate workspace to adopt | Work happens in the Devin cloud environment |
Agentcode vs Devin: your questions answered
What is the difference between Devin and Agentcode?
Both are autonomous agents that take a task and open a pull request, so they are in the same category. The honest difference is scope and billing. Devin has a broad surface (Slack, Teams, CLI, API, its own cloud desktop) and sells a usage allowance. Agentcode is narrower and flatter: connect a repo, review PRs, pay a flat monthly subscription with no usage meter.
Is Agentcode cheaper than Devin?
It depends on volume, but Agentcode is easier to budget. Agentcode is a flat subscription from $29 a month billed yearly, with no per-task metering. Devin sells a subscription plus a usage allowance whose per-tier size is not published, and overage is billed as prepaid credits. If a finance team needs a predictable number, the flat plan is simpler to forecast.
Does Devin open pull requests?
Yes. Devin is an autonomous cloud engineer that works asynchronously and opens pull requests, and it can be delegated to from Slack, a CLI, or an API. Agentcode does the same core job with a narrower surface, keeping the work in your existing GitHub or GitLab repo and CI rather than a separate cloud workspace.
Is Devin or Agentcode better for teams?
Devin fits teams that want to run a fleet of agents programmatically across a broad surface. Agentcode fits teams whose problem is a backlog of well-scoped work and who want a predictable bill, no new workspace to operate, and every change reviewed as a pull request in the repo and CI they already use.
Last updated: August 2026
Further reading
Devin is the most autonomous and the most expensive option in the category, so the question is what that autonomy returns. Is Devin AI worth it weighs the price honestly, and what an autonomous coding agent can do sets the realistic ceiling for any tool here. If you are building the budget case, what an agent costs per developer is the number to bring, and Agentcode pricing is flat rather than metered.
See it run
Describe the work. Get a pull request.
Pick a task
Plan
- planning
Files changed
Test run
Pull request
You review and merge. Agentcode never merges on its own.
More comparisons
Looking for a Devin alternative? See how the PR-native approach compares. For every current plan and what the bill really comes to, read the full Devin pricing breakdown, or see how Devin and every rival bill, flat versus metered, on the AI coding tool pricing comparison. Still weighing the whole category? Our guide to the best AI for coding puts nine tools side by side on price, git host support, and whether the agent opens the pull request itself.