Devin

Video Review

About

Devin is the first fully autonomous AI software engineer, built by Cognition AI to handle entire development tasks from ticket to merged pull request without constant human oversight. In real-world deployments, Devin has demonstrated 8-12x efficiency gains in engineering hours and 20x cost savings on large migration projects. At Nubank, it migrated roughly 100,000 data classes across 6+ million lines of code, completing individual tasks in 10 minutes after fine-tuning — down from 40 minutes initially. Unlike IDE-based copilots that suggest code snippets, Devin operates in its own cloud sandbox with a full development environment including shell, browser, and editor. It reads your codebase, produces a step-by-step plan you can review and edit, writes the code, runs tests, and submits pull requests directly to GitHub. Its 2025 performance review showed a 67% PR merge rate, nearly double the 34% from its first year. It connects natively with Slack, Teams, Jira, Linear, and 20+ other tools, so you can assign tasks the same way you would message a teammate. Devin handles a wide range of engineering work: code migrations between languages, ETL pipeline development, bug fixes from your backlog, frontend and backend feature builds, CI/CD automation, and technical debt cleanup. It can ingest legacy codebases written in COBOL, Fortran, or Objective-C and refactor them into modern languages like Rust, Go, or Python while preserving business logic. The platform learns your team's patterns and coding conventions over time, improving its output with continued use. Pricing starts at $20/month on the Core plan with pay-as-you-go compute at $2.25 per Agent Compute Unit, where roughly 1 ACU equals 15 minutes of active work. The Team plan at $500/month includes 250 ACUs with unlimited concurrent sessions. Enterprise customers get VPC deployment, SSO, and dedicated support at custom pricing.

Key Features

• Autonomous end-to-end task completion from ticket to merged PR
• Full cloud sandbox with shell, browser, and code editor
• Step-by-step planning with human review and approval gates
• 67% PR merge rate with automated testing and validation
• Legacy code migration from COBOL/Fortran/Objective-C to modern languages
• Native Slack, Teams, Jira, and Linear integrations for task assignment
• Parallel session execution across multiple repositories
• Codebase learning that adapts to team conventions over time
• Devin Wiki for automatic codebase documentation
• Devin API for custom workflow automation
• GitHub PR creation, review, and iteration
• Support for 20+ integrations including AWS, Datadog, and Snowflake

Use Cases

• 1Migrating 100,000+ data classes across a 6-million-line codebase in weeks instead of months
• 2Clearing your bug backlog by assigning Jira tickets to Devin via Slack while your team focuses on architecture
• 3Converting a legacy COBOL banking system to modern Go microservices without losing business logic
• 4Building complete frontend features from design specs while senior engineers handle system design
• 5Automating ETL pipeline development for data warehouse migrations at 8-12x the speed of manual work
• 6Running parallel CI/CD improvements across dozens of repositories simultaneously