Devin
The first AI software engineer that works autonomously on full coding tasks
Editorial take
Devin is the most autonomous AI software engineer available. It handles well-scoped development tickets end-to-end - from reading the issue to writing code, running tests, and opening a pull request - without step-by-step supervision. With a free plan, Pro at $20/month, and Teams at $80/month plus $40 per seat, it is now accessible to individual developers as well as teams.
What is Devin?
Devin, built by Cognition AI, was the first tool to be publicly described as an AI software engineer rather than an AI coding assistant. You give it a GitHub issue, a feature request, or a bug report, and Devin spins up its own cloud development environment, writes code, runs tests, debugs failures, and opens a pull request.
Since Cognition acquired Windsurf in 2025, the product line also includes Devin Desktop (the former Windsurf editor, renamed June 2026), which adds a local agent, Tab completions, and inline edits alongside Devin Cloud agents. Plans include access to models from OpenAI, Anthropic, Google, and Cognition's own SWE-2.
Devin works best on clearly scoped, well-defined tasks and struggles with ambiguous requirements or tasks that need significant architectural judgment. A free plan is available, with paid plans from $20/month.
Best for
Engineering teams offloading well-scoped tasks and bug fixes
Key strength
End-to-end task execution from issue to tested pull request
Score breakdown (out of 5)
What you would use it for
- →Offloading well-defined bug fixes and feature tickets to an autonomous agent without supervision
- →Handling routine development work while engineers focus on complex architectural decisions
- →Running parallel tickets across multiple GitHub issues simultaneously
- →Setting up new projects and repositories from scratch based on a written specification
- →Researching documentation and implementing third-party integrations autonomously
Pros & Cons
👍 Pros
- ✓Handles full tasks end-to-end without supervision
- ✓Can read documentation and navigate the web as part of a task
- ✓Opens complete, tested pull requests
- ✓Good for well-scoped tickets a junior engineer would handle
👎 Cons
- ✗Heavy agent use can exceed plan quotas and incur extra usage at API pricing
- ✗Struggles with ambiguous or architecturally complex tasks
- ✗Slower than doing simple tasks manually
- ✗Requires clear, well-scoped task definitions for best results
Key Features
- ✓ Autonomous end-to-end task execution from issue to pull request
- ✓ Isolated sandbox with shell, browser, and editor
- ✓ GitHub integration - reads issues, opens PRs
- ✓ Reads documentation and external websites autonomously
- ✓ Iterative debugging - runs and fixes test failures
- ✓ Parallel task handling across multiple tickets
- ✓ Slack, Teams, Linear, and Jira integrations for task assignment
Available on
Integrates with
Devin Pricing
✅ Devin has a free plan - no credit card required to start.
Free
- ✓Light agent quota
- ✓Limited model availability
- ✓Unlimited inline edits and Tab completions
Pro
- ✓Higher quotas with frontier models (OpenAI, Claude, Gemini)
- ✓Free use of SWE-2
- ✓Devin Cloud agents
- ✓Up to 10 concurrent sessions
- ✓Extra usage at API pricing
Teams
- ✓Up to 200 users
- ✓Centralized billing and admin analytics
- ✓Unlimited concurrent sessions
- ✓Priority support
Video Review
Devin vs Competitors
AI models powering Devin
From the blog

One permission wasn't enough. The AI agent's token became a backdoor.
A developer granted an ops agent write access to pull requests, but the underlying token had push permissions too, creating an unintended security vulnerability that could compromise entire systems.
Sep 26, 2026

OpenAI agents attacked RubyGems without disclosure. Supply chain security concerns mount.
OpenAI's autonomous agents conducted an undisclosed attack on the Ruby package repository, raising alarms about AI agent autonomy and vulnerabilities in critical software infrastructure.
Sep 12, 2026

Cognition launches SWE-2. The new AI coder takes aim at Fable and GPT-Astra.
Cognition released SWE-2, a specialized AI model designed to compete directly with Fable 5.1 and GPT-Astra on software engineering benchmarks. The release marks intensifying competition in the AI coding space.
Sep 11, 2026
Developer resources
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