Devin

Tool

Cognition's autonomous AI software engineer. Cloud agents take a ticket, plan the work, open a pull request and review code, driven from a web app, CLI, IDE or API.

Developer
Cognition AI
Type
Cloud Agent Platform
Pricing
Freemium
🌐 Official Website💰 Pricing & Access
On this page

Devin is an autonomous AI software engineer built by Cognition AI. Rather than completing code as you type, it takes a task — a ticket, a Slack message, a CI failure — plans the work, executes it across one or more repositories, and opens a pull request for review.

Overview

Cognition introduced Devin on March 12, 2024, presenting it as the first AI software engineer capable of completing real engineering tasks end to end. It reached general availability in December 2024.

Devin's defining characteristic is that it runs away from the developer. Where an in-editor assistant waits for a prompt, Devin is delegated to: it holds its own workspace, browses documentation, runs tests, reads CI output and iterates until the work is done or it gets stuck. The developer's job shifts from writing the code to scoping the task and reviewing the diff.

In July 2025, Cognition acquired the agentic IDE Windsurf. In June 2026 it renamed that product Devin Desktop, making it the primary local surface for driving Devin. The two are distinct: Devin is the cloud agent; Devin Desktop is one of several places you can command it from.

Surfaces

Devin is not a single application. Cognition exposes the same agent through several surfaces:

  • Devin Cloud: The web interface. Delegate work, watch sessions, review results.
  • Devin Desktop: The IDE, formerly Windsurf. Combines local agents with an Agent Command Center for cloud sessions.
  • Devin CLI: Command-line access for scripting and terminal-first workflows.
  • Devin Review: Automated pull request review, including bug identification and visual QA.
  • Devin API: Programmatic access for teams building custom automation on top of the agent.
  • Devin Windows VM: A Windows environment for agents that need one.

Key Features

  • Parallel Repositories: Plans and executes work across multiple repositories at once.
  • Ticket to Pull Request: Receives tickets directly, processes Slack mentions, and ships PRs autonomously while incorporating review feedback.
  • Devin Review: Reviews pull requests and identifies bugs, with browser and desktop automation for visual QA.
  • Code Migrations: Large-scale refactors and framework migrations, the use case Cognition markets most heavily.
  • Issue Triage and CI Repair: Picks up failing builds and triages incoming issues.
  • DeepWiki: Automatically generates documentation and system diagrams for unfamiliar or legacy codebases.
  • Scheduled Maintenance: Recurring agent tasks for upkeep work.
  • SWE-1.6: Cognition's own coding model, used alongside frontier OpenAI, Anthropic and Gemini models.
  • Agent Client Protocol (ACP): The open protocol that lets Devin run inside compatible editors — and lets other vendors' agents run inside Devin Desktop.

How It Works

  1. Task Intake: A ticket, Slack mention, CI failure or API call defines the work
  2. Planning: Devin decomposes the task and inspects the relevant repositories
  3. Execution: It works in its own environment — editing files, running tests, reading output, browsing docs
  4. Iteration: Failures feed back into the plan; the agent retries rather than stopping at the first error
  5. Pull Request: Devin opens a PR and responds to review comments on it

Integrations

GitHub, Linear, Slack, Teams, Datadog, AWS, Stripe, Notion and Confluence, plus 20+ other platforms. Devin can be triggered from the tools a team already runs its process in, which is the point: the agent is meant to sit inside the existing workflow rather than beside it.

Use Cases

Large-Scale Change

  • Framework Migrations: Mechanical but sprawling upgrades across many files or repositories
  • Codebase Refactors: Structural changes too large to hold in one person's head
  • Dependency Upgrades: Repetitive version bumps with test verification

Review and Quality

  • Pull Request Review: Automated first-pass review that flags likely bugs
  • Visual QA: Browser and desktop automation to check that a change looks right
  • CI Failure Resolution: Diagnose and fix broken builds

Understanding Code

  • Legacy Codebases: DeepWiki generates documentation and diagrams for code nobody remembers writing
  • Onboarding: Ask questions about an unfamiliar repository before touching it

Operations

  • Issue Triage: Sort, label and investigate incoming issues
  • Scheduled Maintenance: Recurring cleanup tasks on a timer

Reported Results

Cognition publishes a Nubank case study reporting an 8x engineering time efficiency gain and 20x cost savings on the scope of a large migration, and — after fine-tuning Devin on the customer's code — a doubling of task completion scores and a 4x improvement in task speed, taking per-task time from 40 minutes to 10.

These are vendor-published figures from a single customer, not independent benchmarks. Devin's early public demos in 2024 also drew criticism for overstating autonomy. Treat the numbers as marketing until you have run the agent on your own codebase.

Pricing & Access

Prices quoted in USD on devin.ai/pricing, checked 8 July 2026. Pricing is shared across Devin's surfaces; cloud agents unlock at Pro.

Free Plan ($0)

  • Light quota to code with agents
  • Limited model availability
  • Unlimited inline edits and Tab completions in Devin Desktop

Pro Plan ($20/month)

  • Everything in Free, plus increased quotas
  • Access to OpenAI, Claude and Gemini frontier models
  • Free use of SWE-1.6 and leading open-source models
  • Access to cloud agents (Devin Cloud)
  • Purchase extra usage at API pricing

Max Plan ($200/month)

  • Everything in Pro, plus significantly higher quotas
  • Aimed at power users

Teams ($80/month for the team plan, plus $40/month per full dev seat)

  • Everything in Pro, plus unlimited team members and collaboration
  • Centralized billing, admin dashboard with analytics, priority support

Enterprise (contact sales)

  • Everything in Teams, plus dedicated account management and highest-priority support
  • SAML/OIDC SSO, centralized enterprise admin controls, deployment options

Getting Started

Step 1: Sign Up

  1. Visit devin.ai and create an account
  2. Cloud agents require the Pro plan or above

Step 2: Connect Your Code

  1. Connect GitHub, GitLab or Bitbucket
  2. Add the integrations your team already works in — Slack, Linear or Jira
  3. Let Devin index the repository

Step 3: Delegate a First Task

  1. Start small and well-scoped: a dependency bump, a flaky test, a single bug
  2. Watch the session rather than walking away — the first few tasks teach you how to scope
  3. Review the pull request as you would a junior engineer's

Best Practices

  • Scope Tightly: Devin performs best on well-defined tasks with a clear definition of done
  • Give It Tests: A test suite is the agent's feedback loop; without one it cannot tell success from failure
  • Review Every Diff: Autonomy is not correctness
  • Start Mechanical: Migrations and repetitive refactors beat open-ended design work
  • Use DeepWiki First: Have the agent explain a codebase before letting it change one

Limitations

  • Autonomy Is Oversold: Independent evaluations of early Devin found a substantially lower task completion rate than the demos implied. Scope accordingly.
  • Needs Verification Signals: Without tests or a working CI pipeline, the agent cannot check its own work
  • Cost at Scale: Long-running agent sessions consume quota quickly; heavy use lands on the Max plan or API pricing
  • Open-Ended Design: Architectural and product decisions remain human work
  • Review Burden: Autonomous PRs shift effort from writing to reviewing, which does not always net out positive
  • Privacy: Code is processed on Cognition's infrastructure unless you have an enterprise deployment
  • Brand Confusion: "Devin" now refers to a family of products; older material describing Devin as a single web app is out of date

Alternatives

  • Claude Code - Anthropic's terminal-based coding agent, driven interactively
  • Cursor - AI-native editor with parallel local and cloud agents
  • Windsurf / Devin Desktop - Cognition's own IDE surface for the same agent
  • Cline - Open-source autonomous coding agent for VS Code
  • GitHub Copilot - Coding assistant with an agent mode inside GitHub's ecosystem
  • Aider - Open-source pair programmer for the terminal

Community & Support

Timeline

  • March 12, 2024: Cognition introduces Devin as "the first AI software engineer"
  • December 2024: Devin reaches general availability
  • July 14, 2025: Cognition signs a definitive agreement to acquire Windsurf
  • June 2, 2026: Windsurf is renamed Devin Desktop, becoming Devin's primary local surface

Frequently Asked Questions

No. Devin is the autonomous cloud agent. Devin Desktop is the IDE, formerly called Windsurf, that you can drive it from, and which also runs its own local agent. Cognition renamed Windsurf to Devin Desktop on June 2, 2026.
No. Devin Cloud, the Devin CLI and the Devin API all work independently of the desktop IDE.
Cognition's own coding model, SWE-1.6, alongside frontier models from OpenAI, Anthropic and Google.
There is a free plan, but cloud agents unlock on the Pro plan at 20 US dollars per month. Max is 200 dollars per month, and Teams is 80 dollars per month plus 40 dollars per full developer seat. Prices checked on July 8, 2026.
It depends on the shape of your work. Devin earns its keep on large mechanical changes with good test coverage, such as framework migrations and dependency upgrades. On open-ended feature work it produces diffs you will spend a long time reviewing.

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