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Devin

Paid

First fully autonomous AI software engineer that takes tickets from Jira/Linear and delivers tested pull requests

★★★★ 4.2 / 5 Visit Devin →
ToolChase Score: 4.2/5Last verified: April 2026

What is Devin?

Devin by Cognition AI (valued at $4 billion) is the first commercially available fully autonomous AI software engineer. Unlike copilot-style tools that assist while you type, Devin takes a task description, plans the approach, writes code, runs tests, debugs failures, and opens a pull request — all without human intervention. It operates in its own sandboxed environment with a code editor, terminal, and web browser. Devin integrates with GitHub, GitLab, Linear, Jira, Slack, and 20+ other tools. Billing uses Agent Compute Units (ACUs) based on task complexity.

⚡ Quick Verdict

Best for

Engineering teams with consistent backlogs of well-defined tasks — migrations, refactoring, bug fixe

Not ideal for

Use cases outside its primary category

Starting price

Core from $20/mo (pay-as-you-go at $2.25/ACU) / Team $500/mo

Free plan

No

Key strength

Most autonomous coding agent — truly hands-off

Biggest limitation

ACU costs are unpredictable — complex tasks drain credits fast

Bottom line: Devin scores 4.2/5 — a strong choice for Engineering teams with consistent backlogs of well-defined t. A solid option worth considering.

Devin Pricing

Core from $20/mo (pay-as-you-go at $2.25/ACU) / Team $500/mo (250 ACUs at $2/ACU) / Enterprise custom

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Key Features

  • Fully autonomous end-to-end coding from task to PR
  • Sandboxed dev environment with editor, terminal, and browser
  • Interactive planning — review and edit the plan before execution
  • Knowledge base memory — learns your codebase conventions
  • Integrates with GitHub, GitLab, Linear, Jira, Slack, and 20+ tools
  • Parallel agent sessions across repositories

Pros & Cons

Pros

  • Most autonomous coding agent — truly hands-off
  • Excellent for code migrations, refactoring, and backlog clearing
  • Interactive planning gives control before execution
  • Learns your team standards over time

Cons

  • ACU costs are unpredictable — complex tasks drain credits fast
  • Team plan at $500/mo is expensive for small teams
  • Struggles with ambiguous or novel architecture decisions
  • 15-30% success rate on complex tasks in independent testing

Best For

Engineering teams with consistent backlogs of well-defined tasks — migrations, refactoring, bug fixes, and repetitive infrastructure work

✅ Pricing verified April 2026 ✅ Independently reviewed ✅ No affiliate relationship See scoring methodology

FAQ

What is Devin?

Devin by Cognition AI (valued at $4 billion) is the first commercially available fully autonomous AI software engineer. Unlike copilot-style tools that assist while you type, Devin takes a task description, plans the approach, writes code, runs tests, debugs failures, and opens a pull request — all

How much does Devin cost?

Core from $20/mo (pay-as-you-go at $2.25/ACU) / Team $500/mo (250 ACUs at $2/ACU) / Enterprise custom

Is Devin worth it?

Devin scores 4.2/5 on ToolChase and is best for Engineering teams with consistent backlogs of well-defined tasks — migrations, refactoring, bug fixes, and repetitive in. It has a paid pricing model.

Score based on product quality, usability, value, features, reliability, integrations & market trust. How we score →

Alternatives to Devin

📋 Good to know

Setup

Web-based — no local installation. Assign tasks through the Devin dashboard or Slack integration. Devin creates its own development environment per task.

Privacy & Data

Devin accesses your codebase through GitHub/GitLab integration. Enterprise plan offers private deployment. Code is processed in Cognition AI cloud infrastructure.

When to upgrade

Start with Core plan ($20/mo base + ACU usage). Team plan ($500/mo for 250 ACUs) when you have consistent delegatable tasks. Enterprise for custom deployment and security.

Learning curve

Moderate. Writing good task specifications is a skill — Devin performs best with detailed, well-scoped instructions. Expect 1-2 weeks to learn how to write effective task descriptions.

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