Devin

Autonomous coding agent that works tickets in its own cloud environment

AI Coding & DevelopmentOverseas★★★★☆ 4.0

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What is Devin?

Devin is an autonomous software engineering agent from Cognition. You give it a task - a bug report, a dependency upgrade, a small feature - and it works inside its own cloud sandbox with a shell, editor and browser, planning the steps, running tests and opening a pull request. Sessions can be started from the web app, the command line or Slack, and several can run in parallel so a team can clear backlog work without blocking a developer. It is genuinely a delegation tool rather than a pair programmer: well-scoped, verifiable tasks suit it, and reviewing the output remains part of the workflow.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

Cloud sandbox with shell, editor and browser per session
Task delegation from the web app, CLI and Slack threads
Parallel sessions so several tasks make progress at once
Runs tests and iterates on failures before opening a pull request
Repository onboarding that builds a knowledge base of project context
Session replay and progress logs for reviewing the reasoning

Pros & cons

Strengths

Handles well-scoped tickets end to end without supervision
Parallel sessions let a small team clear more backlog
Progress and reasoning stay visible rather than hidden in a black box

Watch out for

Costly relative to a standard assistant subscription
Weak on ambiguous tasks that need product judgement
Generated changes still need careful human review before merging

Best for & use cases

well-scoped backlog tickets, dependency upgrades, test fixes and delegating routine work

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FAQ

What kinds of tasks suit it?

Bounded work with a clear definition of done: fixing a failing test, upgrading a dependency, adding a small endpoint or cleaning up a defined area of code. Open-ended product decisions are a poor fit.

Do I have to give it repository access?

Yes. The agent needs to read and write code, usually through a Git integration. Review the permissions carefully and start with a repository you are comfortable letting it commit to.

How is work billed?

Usage is metered by agent work rather than flat seats, so cost tracks how much you delegate. Running a few small exploratory tasks first is the sensible way to judge the economics.