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📚Complete Guide

Devin Tutorial: Get Started in 5 Minutes [2026]

Master Devin with our step-by-step tutorial, detailed feature walkthrough, and expert tips.

Get Started with Devin →Full Review ↗

🔍 Devin Features Deep Dive

Explore the key features that make Devin powerful for coding agents workflows.

Autonomous Sandboxed Development Environment

What it does:

Use case:

Multi-Agent Scheduling and Management

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Automated Code Review Autofix

What it does:

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Workflow Integration via Slack, Jira, and Linear

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SWE-1.6 Foundation Model

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❓ Frequently Asked Questions

What is an ACU and how does Devin's pricing actually work?

An Agent Compute Unit (ACU) is Devin's consumption-based billing metric. One ACU roughly corresponds to a single discrete task such as fixing a bug, building a small website, or implementing a specific feature. The key advantage of ACU pricing is that you're only charged for active compute—if Devin is idle or waiting, it doesn't consume units. However, complex tasks that require extensive planning, debugging, and iteration can consume multiple ACUs, so costs can vary significantly depending on task complexity. The Core plan starts at $20/month with included ACUs, while the Team plan at $500/user/month provides higher limits.

How does Devin differ from code completion tools like GitHub Copilot or Cursor?

Devin operates as a fully autonomous software engineering agent rather than a code suggestion tool. While GitHub Copilot and Cursor provide inline code completions as you type, Devin works independently in its own sandboxed environment—you assign it a task and it plans the approach, writes code across multiple files, runs tests, debugs issues, and submits pull requests without requiring your continuous involvement. Think of Copilot as an assistant sitting next to you, while Devin is more like a junior developer working on a separate branch who comes back with a completed pull request for your review.

What types of tasks is Devin best and worst at handling?

Devin excels at well-defined, routine engineering tasks: framework migrations, batch bug fixes, CRUD application building, boilerplate generation, test writing, and MVP prototyping. It performs well when requirements are clear and the task follows established patterns. Devin struggles with tasks requiring novel architectural decisions, ambiguous requirements, deep domain-specific knowledge, or creative problem-solving that demands understanding business context beyond the codebase. It also has difficulty with highly interconnected systems where changes ripple unpredictably across the codebase.

Can Devin work with my existing development tools and CI/CD pipelines?

Yes, Devin integrates with common engineering workflows. You can assign tasks through Slack, Jira, or Linear, and Devin delivers completed work as GitHub pull requests. Its sandboxed environment includes shell access for running build tools, test suites, and other command-line utilities your project depends on. Devin can interact with your existing codebase context and repository structure. For enterprise customers, Cognition offers hybrid deployment options and SSO integration to fit within existing security and access control requirements.

Is Devin available for government and regulated industry use cases?

Yes, Cognition launched Cognition for Government in early 2026, specifically designed to meet the compliance and security requirements of government agencies and regulated industries. This offering provides additional security controls and deployment options beyond the standard enterprise tier. Cognition also announced expansion into the Japanese market in partnership with Takumi Masai in April 2026, indicating growing international availability. For specific compliance certifications and deployment details, contacting Cognition's sales team directly is recommended.

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Tutorial updated March 2026