Imagine giving instructions in natural language and having an AI write code, test it, and even create pull requests for you. This is Devin—the "world's first autonomous AI software engineer" developed by Cognition AI, bringing a new paradigm to software development.
What is Devin?
Devin is not a code completion tool. It's an AI agent that autonomously executes software development tasks. While traditional AI coding tools act as "assistants," Devin functions more like a "junior engineer" on your team.
flowchart LR
subgraph Traditional Tools
A[Developer] --> B[Copilot]
B --> C[Code Completion]
end
subgraph Devin
D[Developer] --> E[Task Assignment]
E --> F[Devin]
F --> G[Planning]
G --> H[Implementation]
H --> I[Testing]
I --> J[PR Creation]
end
style A fill:#3b82f6,color:#fff
style D fill:#3b82f6,color:#fff
style F fill:#8b5cf6,color:#fff
Key Characteristics
Devin operates within a sandboxed computing environment that includes:
- Shell: Command execution
- Code Editor: File editing
- Browser: Documentation lookup, error investigation
This enables Devin to autonomously write code, execute it, check for errors, and fix them—just like a human engineer would.
The Fundamental Difference from Copilot
GitHub Copilot and Devin are both AI-powered development tools, but their roles are fundamentally different.
flowchart TD
subgraph Copilot["GitHub Copilot (Assistant)"]
A1[Real-time code completion]
A2[Works within IDE]
A3[Developer in control]
A4[Line-level suggestions]
end
subgraph Devin["Devin (Agent)"]
B1[Autonomous task execution]
B2[Own environment]
B3[Self-directed actions]
B4[Handles entire projects]
end
style Copilot fill:#3b82f6,color:#fff
style Devin fill:#8b5cf6,color:#fff
Comparison Table
| Aspect | GitHub Copilot | Devin |
|---|---|---|
| Role | Coding assistant | Autonomous engineer |
| Environment | Within IDE | Own cloud environment |
| Input | Code context | Natural language task description |
| Output | Code completions/suggestions | PRs, commits, deployments |
| Control | Developer always in control | Makes autonomous decisions |
| Best for | Daily coding acceleration | Delegating routine tasks |
How They Actually Work
Copilot:
Developer: [Starts writing code]
Copilot: [Suggests next line]
Developer: [Accepts or modifies suggestion]
Developer: [Runs tests]
Developer: [Fixes errors]
Devin:
Developer: Implement user authentication. Use JWT
with refresh token support.
Devin: [Analyzes codebase]
[Creates implementation plan]
[Implements code]
[Runs tests]
[Auto-fixes errors]
[Creates PR]
Developer: [Reviews and merges PR]
Key Features
1. Agent-Native IDE
Devin operates in a dedicated cloud-based IDE. You can run multiple Devin sessions in parallel, each working on independent tasks.
flowchart TD
A[Development Team] --> B[Devin Platform]
B --> C[Session 1: Bug Fix]
B --> D[Session 2: Test Creation]
B --> E[Session 3: Refactoring]
C --> F[PR #101]
D --> G[PR #102]
E --> H[PR #103]
style B fill:#8b5cf6,color:#fff
style C fill:#3b82f6,color:#fff
style D fill:#3b82f6,color:#fff
style E fill:#3b82f6,color:#fff
2. Interactive Planning
When you start a task, Devin first analyzes the codebase and proposes an implementation plan. You can review and modify this plan before execution begins.
Devin: I've analyzed the codebase. Here's my plan:
1. Create JWT utilities in src/auth/jwt.ts
2. Add auth middleware in src/middleware/auth.ts
3. Implement login/refresh endpoints in src/routes/auth.ts
4. Add tests in tests/auth.test.ts
Should I proceed with this plan?
3. Devin Wiki
Automatically indexes your repositories and generates architecture diagrams and documentation. Useful for onboarding new team members and understanding legacy code.
4. Devin Search
Ask questions about your codebase in natural language:
Question: Where are authentication errors handled?
Answer: Authentication errors are handled in these locations:
- src/middleware/errorHandler.ts:45 - AuthenticationError class
- src/routes/auth.ts:78 - Login failure handling
[Links to source code]
5. Team Integration
Integrates with Slack, Microsoft Teams, and Jira:
- Slack: Mention
@Devinto assign tasks - Jira: Add
devinlabel to tickets for automatic handling - GitHub: Request additional changes via PR comments
Pricing Plans
With Devin 2.0 (released April 2025), pricing was significantly reduced.
| Plan | Monthly | ACUs | Additional ACUs | Target |
|---|---|---|---|---|
| Core | $20 | 9 | $2.25/ACU | Individual developers, trials |
| Team | $500 | 250 | $2/ACU | Teams, production use |
| Enterprise | Custom | Custom | Negotiable | Large enterprises, VPC support |
What Are ACUs (Agent Compute Units)?
ACUs measure Devin's workload. Consumption varies based on task complexity and execution time.
flowchart LR
A[Simple Task] --> B["1-2 ACU"]
C[Medium Task] --> D["3-5 ACU"]
E[Complex Task] --> F["10+ ACU"]
style A fill:#22c55e,color:#fff
style C fill:#f59e0b,color:#fff
style E fill:#ef4444,color:#fff
Which Plan Should You Choose?
| Scenario | Recommended Plan |
|---|---|
| Want to try Devin | Core |
| A few small tasks per week | Core |
| Regular task delegation | Team |
| Multiple people sharing Devin | Team |
| Security/compliance requirements | Enterprise |
What Devin Does Well and Struggles With
Strengths
- Code migrations: Framework and library upgrades
- Security fixes: Vulnerability detection and patching
- Unit test creation: Improving test coverage
- Small feature additions: Features with clear specifications
- Bug fixes: Bugs with clear reproduction steps
Limitations
- Ambiguous requirements: "Make it more user-friendly"
- Architecture design: System-wide design decisions
- Performance optimization: Cases requiring deep analysis
- Creative UI/UX: Cases requiring design judgment
Summary
| Aspect | Description |
|---|---|
| What is Devin | Autonomous AI software engineer |
| Difference from Copilot | Assistant vs. Agent |
| Key Features | Autonomous execution, planning, Wiki, Search |
| Pricing | Starting at $20/month |
| Best Use Cases | Routine tasks, migrations, testing |
Think of Devin as a "junior engineer." It works excellently with clear instructions but requires human supervision for ambiguous tasks or situations needing advanced judgment. In the next article, we'll look at Devin's benchmark performance and real-world success rates.