- Code & DB Assistant
- Devin AI
Devin: 엔지니어링 효율성을 극대화하는 AI 코드 이주 도구
소개
Devin은 Nubank의 코드 이주를 12배 빠르게 하여 엔지니어링 비용을 20배 절감합니다. 더 나은 제품 개발을 위한 필수 도구입니다.
Devin AI's 개요
Devin is a collaborative AI tool designed to enhance engineering efficiency by automating code migrations, refactoring, and backlog management. It significantly reduces engineering hours and costs, as demonstrated by Nubank's successful migration of millions of lines of code, achieving a 12x efficiency gain and over 20x cost savings. Devin operates autonomously, learning from previous migrations and adapting to complex tasks, making it an invaluable asset for engineering teams looking to modernize their codebases and streamline workflows. With capabilities in data engineering, bug resolution, and application development, Devin is built for collaboration and can integrate with various tools like GitHub and Slack.
Devin AI's 특징
Automates code migrations and refactoring
Learns from previous tasks to improve efficiency
Integrates with popular tools like GitHub and Slack
Handles complex engineering tasks autonomously
Provides real-time collaboration and feedback
Supports data engineering and analysis
Can work in parallel with multiple instances
Devin AI's Q&A
Devin AI's 장단점
장점
- Significantly reduces engineering hours
- Achieves high cost savings
- Improves task completion speed
- Learns and adapts over time
- Enhances team collaboration
단점
- Requires initial setup and training
- May need human oversight for complex tasks
- Performance can vary based on task complexity
Devin AI's 사용 사례
- Code migration and refactoring
- Data warehouse migrations
- Bug resolution and backlog management
- CI/CD tasks
- Application development
Devin AI's 대상 고객
- Engineering teams
- Software development companies
- Data engineering teams
- Large enterprises
- Tech startups
Devin AI's 가격 책정
Devin offers various pricing tiers suitable for different organizational needs, including an enterprise option for larger teams.
Devin AI's 분석
웹사이트 개요
다음에 대한 주요 성과 지표 devin.ai
이탈률
44.46%
페이지 / 방문
2.60
총 방문 횟수
179,046
현장 체류 시간
1m 49s
글로벌 순위
#248,628
국가 순위
#141,935
인기 지역
국가별 트래픽 분포
- 1.United States37.37%
- 2.India13.28%
- 3.Germany3.88%
- 4.United Kingdom3.72%
총 방문자 수
지난 3개월간 월별 방문자 통계
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