Devin AI (Cognition)
Autonomous software engineering agent that plans, codes, tests and opens pull requests.
🎬 Product Demos & Video Guides
3 VideosWatch these curated walkthroughs to master Devin AI (Cognition) from beginner setup to advanced features:
1. Introducing Devin, the first AI software engineer (Cognition)
2. Getting Started with Devin in 8 Minutes (Cognition)
3. Complete Guide to Building With an AI Software Engineer
Devin AI (Cognition) Review
Devin AI (devin.ai) is Cognition’s autonomous software engineering agent. It takes a written task, maps the repository, writes a plan, edits files, runs commands and checks the result before opening a pull request.
Sessions run in Cognition’s cloud or on your own machine, and Devin tests builds in its own browser. It picks up work from Slack or Teams threads, Linear and Jira tickets, and repositories on GitHub, GitLab and Bitbucket.
The pricing page lists Cognition’s SWE-2 model alongside models from OpenAI, Anthropic and Google. Plans are Free, Pro at $20 per month and Max at $200 per month, with daily and weekly usage allowances.
In-depth review: what Devin AI (Cognition) actually does
Checked 28 Oct 2026Devin (devin.ai) is an autonomous software engineering agent built by Cognition. It runs in the cloud or on your own machine, and it works inside an IDE, a terminal and a browser. You give it a ticket or a bug report, and it plans, edits, tests and opens a pull request for review.
Unlike an autocomplete tool, Devin keeps working after you close the laptop. Cognition's documentation describes running managed Devins in parallel, with child agents taking separate branches of a larger job. Teams reach it through the web app, Slack, Teams or the API.
Features worth knowing
Devin runs in Cognition's cloud or on your own machine, and it tests builds in its own browser. That means it can open the app, click through a flow and check the result before handing work back.
The documentation describes managed Devins running in parallel. A parent session can spin up child agents for separate branches, then report back when each pull request is ready.
The pricing page lists Cognition's SWE-2 plus models from OpenAI, Anthropic and Google. The devin.ai homepage names Gemini 4 Argon and Claude Haiku 5.5 as options.
Devin reads threads in Slack and Teams and picks up Linear and Jira tickets. Repositories connect through GitHub, and automations can start a session from an alert or a failed build.
What does Devin actually do?
Devin takes a written task and works through it like an engineer. It maps the repository, writes a plan, edits files, runs commands and checks the result. When a build or test fails, it reads the output and tries another approach.
The documentation says Devin handles most tasks except extremely difficult ones. A useful rule of thumb is that a job you could finish in three hours is a good candidate. You can watch every step and take over in the embedded IDE at any point. It also writes unit tests and can reproduce a bug before changing code.
How does a Devin workflow look?
A common pattern starts in Slack or Teams. A teammate tags Devin on a bug thread, and Devin replies with its plan before it starts. It then works in a session, tests the change and posts a pull request link back into the thread. The discussion stays visible to the whole team.
For planned work, you can create a session from the web app and attach a Linear or Jira ticket. Devin Desktop runs sessions on your own machine and syncs your preferences, according to the release notes. Reviewers then treat the pull request like any other change. Cognition recommends prompts with explicit completion criteria, especially for complex work.
How much does Devin cost?
Devin has a free tier and two self-serve paid tiers: Pro at $20 per month and Max at $200 per month. Enterprise pricing is quoted by sales.
Each paid plan includes a usage allowance that refreshes daily and weekly. If you go past it, you can buy extra usage at API prices. The Free plan has a light quota and limited model availability, while Max raises the quotas and opens the full model list.
Can Devin review code and keep documentation current?
Yes. Devin Review, added on 23 October 2026, examines pull requests and posts automated review comments. The Wiki keeps architecture notes and code maps current as repositories change, and the release notes list new language support for it.
Because Devin tests builds in its own browser, a reviewer can watch what it checked instead of trusting a claim that tests passed. The recording shows clicks and page states, which matters when a change touches a user-facing flow. The Wiki can also answer questions about the codebase.
Limitations to weigh first
- –The Free plan has a light quota and limited model availability, so frontier models require a paid plan.
- –Usage runs on daily and weekly allowances. Large or long-running sessions consume more of the quota, and overage is billed at API rates.
- –Cognition's documentation says extremely difficult tasks are outside Devin's range. Complex work needs clear completion criteria and a scoped brief.
Common questions
Is Devin a replacement for a software engineer?
No. Cognition positions Devin as a teammate that handles scoped tasks, while engineers set direction and review the output.
Can Devin work in a private repository?
Yes. Devin connects to GitHub repositories. Check the current integration list in Cognition's documentation for other Git hosts.
Does Devin have a desktop app or a command-line client?
Devin Desktop runs sessions on your own machine and syncs preferences, according to the release notes. The command-line client was retired on 25 September 2026.
Which models can Devin use?
Paid sessions can use Cognition's SWE-2 alongside models from OpenAI, Anthropic and Google. The devin.ai homepage names Gemini 4 Argon and Claude Haiku 5.5.
Details checked against: Devin product page · Devin plans and pricing · Devin documentation: Introducing Devin · Devin documentation: Advanced capabilities · Devin documentation: Release notes · Cognition
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Key Capabilities & Features
- •Cloud or local sessions that test builds in Devin’s own browser
- •Plan, edit, run and verify work before opening a pull request
- •Triggers from Slack, Teams, Linear, Jira and failed CI runs
- •Model choice across SWE-2 and models from OpenAI, Anthropic and Google
- •Free, Pro ($20/month) and Max ($200/month) plans with usage allowances
Pricing, Access & Specs
✓ Strengths & Highlights
- Autonomous Coding
- Pull Requests
- Cloud Sessions
✕ Potential Drawbacks
- The Free plan has a light quota and limited model availability, so frontier models require a paid plan.
- Usage runs on daily and weekly allowances. Large or long-running sessions consume more of the quota, and overage is billed at API rates.
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