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Devin

Cognition's autonomous AI software engineer that takes on tasks end to end.

coding#write-code#build-apps
API Teams
Toolglade’s take

The most 'hands-off' coding agent — you assign a task and it works async. Impressive for routine work, still needs supervision on anything complex.

Devin screenshot

About Devin

Devin, from Cognition, is an autonomous AI software engineer that plans and executes coding tasks end to end in its own environment, handling bug fixes, small features, and routine work asynchronously.

Devin is Cognition's autonomous AI software engineer — an agent you assign tasks to rather than a coding assistant you type alongside. Given a ticket, Devin plans, writes code, runs it, tests, and iterates in its own cloud environment, then opens a pull request for review. It's aimed at offloading routine engineering work — bug fixes, small features, migrations — so human engineers can focus on harder problems. It's a paid product priced for teams. Devin is genuinely impressive on well-scoped tasks, though like all agents it still needs human oversight and can struggle with ambiguous or highly complex work.

TL;DR

Devin is an autonomous AI software engineer developed by Cognition AI. It plans and executes complete engineering tasks, writing, debugging, testing, and deploying code with limited human intervention. Devin 2.0 introduced a lower entry price along with features such as interactive planning, repository search, and automated documentation. It targets engineering teams that want to delegate development tasks to an AI agent, with plans ranging from a free tier to enterprise.

Company overview

Devin is built by Cognition AI (Cognition Labs), a US-based startup founded in 2023 and led by CEO Scott Wu. The company focuses on autonomous AI agents for software engineering and launched Devin publicly in 2024, describing it as an AI software engineer.

Cognition develops Devin as an agent that can independently take on coding tasks end to end. The company has expanded its engineering tooling portfolio, including through acquisitions, and positions Devin as a way to augment or automate developer workflows at scale.

Product features

Devin can take a natural-language task and produce a step-by-step plan before executing it, then write and edit code, run and debug it, and carry work through to deployment. Devin 2.0 added interactive planning, Devin Search for natural-language repository exploration, and Devin Wiki for automated architecture documentation.

Devin operates with its own sandboxed development environment, including a shell, editor, and browser, and integrates with source control and collaboration tools. It is designed to work on multiple tasks in parallel and to collaborate with human engineers who review and guide its work.

Target market

Devin targets software engineering teams and organizations that want to offload well-defined development tasks, backlogs, migrations, and maintenance work to an autonomous agent. It appeals to startups and enterprises seeking to increase engineering throughput, with tiers scaling from individual developers to large teams.

Buyer personas

End users

Software engineers and development teams delegating tasks to the agent.

Buyers

Engineering leaders, CTOs, and VPs of engineering purchasing seats and enterprise plans.

Key influencers

Senior engineers, technical architects, and developer productivity leads.

Ideal customer profile

Engineering organizations that want to automate defined coding tasks with an autonomous AI software engineer.

Funding & performance

Cognition AI has raised significant venture funding. It raised a USD 175 million Series A led by Founders Fund at a reported USD 2 billion valuation in 2024, and by March 2025 its valuation had roughly doubled to about USD 4 billion. Subsequent rounds reportedly raised the valuation to around USD 10.2 billion, with further large fundraising reported in 2026 at higher valuations. Investors have included Founders Fund and other prominent venture firms.

Pros & cons

Pros

  • Works autonomously and asynchronously on assigned tasks
  • Handles routine engineering work end to end
  • Opens pull requests for human review

Cons

  • Needs supervision and can struggle with complex, ambiguous tasks
  • Paid, team-oriented pricing
  • Best suited to well-scoped work

Pricing plans

Free
$0 / month
  • Introductory access to Devin
  • Limited agent compute
  • Trial of core capabilities
Core
$20 / month
  • Pay-as-you-go agent compute
  • Interactive planning
  • Devin Search and Devin Wiki
  • Source control integration
Teams
$80 / month
  • Base plan plus per-developer seat fees
  • Team collaboration features
  • Shared usage and management
  • Higher concurrency
Max
$200 / month
  • Higher agent compute allocation
  • For heavy individual use
  • Priority capacity
Enterprise
Custom
  • Enterprise security and administration
  • Custom usage and support
  • SSO and access controls
  • Volume pricing

Key features

API
Team collaboration
Multi-language
Integrations
GitHub, GitLab, Slack, Jira, Linear
Input types
text, code
Output types
text, code
Best For
Autonomous coding tasks, Bug fixing, Code migrations, Backlog and maintenance work, Repository search and documentation

Compare key features

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Feature
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Claude Code
Replit AI
Pricing
Paid
Paid
Freemium
Free plan
No
No
Yes
Free trial
No
No
No
API
Yes
Yes
No
Team support
Yes
Yes
Yes

Frequently asked questions

Is Devin free?+

No — Devin is a paid product aimed at engineering teams.

What is Devin?+

An autonomous AI software engineer that plans and executes coding tasks and opens pull requests for review.

Devin vs Claude Code or Cursor?+

Devin is more hands-off (assign-and-wait), while Cursor and Claude Code keep a human in the loop as they work.

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