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Devin

AI software engineer that autonomously completes engineering tasks
Developer tools
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Devin

DEVELOPER
Cognition
WEBSITE
SOCIAL
NETWORKS
SUPPORTED
PLATFORMS
STARTING PRICE
From $20
FREE TRIAL
PRICING TYPE
Subscription, Pay as you go
CARD REQUIRED
BEST FOR
Business
SUPPORTED
LANGUAGES
EN
+ N more
See all
AI TEHNOLOGIES
Description

Devin is an AI software engineer designed to work alongside development teams by autonomously completing engineering tasks from initial assignment through pull request submission. The platform integrates directly with project management systems including Slack, Teams, Linear, and Jira, allowing teams to delegate tickets by tagging Devin or applying labels. Once assigned a task, Devin independently plans the implementation, writes code, runs tests, and creates pull requests for human review.

The system includes a full development environment with an integrated editor, shell, and browser that users can access at any time to collaborate or take over work in progress. Devin learns from interactions with codebases and picks up tribal knowledge specific to each organization's workflows. The platform connects to hundreds of tools through MCP server integrations, spanning project management software, cloud infrastructure, databases, and communication platforms.

Devin addresses technical debt, performs code migrations and refactors across languages and versions, handles data engineering tasks including ETL development and warehouse migrations, and resolves bugs from backlog tickets. The system can work on frontend development, unit testing, and building SaaS integrations. For enterprises, Devin offers custom fine-tuned versions specialized for specific use cases, deployment in virtual private clouds, event-driven automation that responds to CI failures and on-call tickets, and the ability to manage teams of AI agents working in parallel. Organizations report substantial efficiency gains, with Nubank achieving 8-12x improvements in engineering hours and 20x cost savings on large-scale code migration projects.

Use cases
  • Migrate legacy codebases to modern languages and frameworks
  • Refactor multi-million line monoliths into modular architectures
  • Automate ETL pipeline development and data warehouse migrations
  • Resolve backlog tickets and technical debt autonomously
  • Build and maintain SaaS integrations across platforms
  • Perform automated code reviews and respond to PR comments
  • Handle CI/CD pipeline failures and on-call incidents
  • Generate unit tests and end-to-end testing suites
  • Modernize application architectures and upgrade dependencies
  • Clean and preprocess datasets for analytics workflows
  • Create documentation and maintain technical wikis
  • Optimize application performance and resource utilization
Features
Autonomous Task Completion, Code Editor And Shell, Learns Codebase Patterns, Pull Request Creation, Test Execution, GitHub Integration, Linear And Jira Sync, Slack And Teams Support, MCP Server Connections, Mobile Code Writing

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