
Autonomous AI software engineer
Devin by Cognition AI is an autonomous AI software engineer that goes beyond code completion to independently plan, execute, debug, deploy, and monitor applications. With Devin 2.0, developers can spin up multiple parallel AI agents, each with its own cloud-based IDE, to tackle complex development tasks autonomously.
Devin operates as a fully autonomous coding agent that can plan multi-step tasks, write code across multiple files, run tests, debug issues, and deploy applications. Devin Search enables agentic codebase exploration with natural language questions and cited code answers. The platform automatically indexes repositories every few hours, generating detailed wikis with architecture diagrams, documentation, and source links. Devin 2.0 completes over 83% more junior-level tasks per Agent Compute Unit compared to its predecessor.
Devin is designed for software engineering teams that want to delegate complete development tasks to an AI agent rather than just receiving code suggestions. It is particularly valuable for teams with backlogs of routine development work, organizations that need to scale development capacity without proportional hiring, and teams looking to automate repetitive coding tasks end-to-end.
Sign up at cognition.ai to access Devin. The Core plan starts at $20 with approximately 9 Agent Compute Units (ACUs), where each ACU represents roughly 15 minutes of active Devin work. Assign Devin a task through natural language, and it will plan, code, test, and iterate autonomously using its cloud-based IDE.
Pricing & Accessibility: The Core plan starts at $20 with ~9 ACUs (each ACU costs $2.25). The Team plan offers a flat monthly fee with bulk ACUs and API access. Enterprise pricing includes custom models, private cloud deployment, and advanced security features. Each ACU represents approximately 15 minutes of active AI work.
Why Consider Devin: Devin is the most autonomous AI coding agent available, capable of independently completing entire development tasks from planning through deployment, making it a true AI team member rather than just an assistant.
Delegating complete development tasks to an autonomous AI agent, scaling development capacity without additional hiring, automated bug fixing and feature implementation, codebase documentation and wiki generation, parallel development across multiple tasks
$20