
IDC PlanScape: Generative AI Developer Technologies
Description
IDC PlanScape: Generative AI Developer Technologies
This IDC PlanScape examines how end-user organizations can begin thinking about how to prepare for the adoption of generative AI developer technologies such as GitHub Copilot, ChatGPT, DALL-E, and Stable Diffusion. In particular, these reflections examine the kinds of questions business and technology leaders need to ask when thinking about how deepened adoption of generative AI developer tool will change the nature of software development and the developer experience. "While generative AI technologies are associated with a constellation of benefits for developers, organizations that are considering the adoption of generative developer tools would do well to understand how they affect the roles and responsibilities of developers," notes Arnal Dayaratna, research vice president, Software Development at IDC. "In addition, organizations should pay close attention to the potential of generative AI to democratize development to highly analytical end users that can generate high-quality outputs from AI-based models by means of natural language."
Please Note: Extended description available upon request.
Table of Contents
7 Pages
- IDC PlanScape Figure
- Executive Summary
- Why Are Generative AI Developer Technologies Important?
- What Are Generative AI Developer Technologies?
- Who Are the Key Stakeholders?
- How Can My Organization Take Advantage of Generative AIDeveloper Technologies?
- Intelligent Code Completion
- Legacy Application Modernization and Transformation
- Development of Copilots That Are Trained on an Organization's Data
- Advice for Technology Buyers
- Define Clear Objectives for the Use of Generative AI
- Understand the Limitations of Generative AI Developer Tools
- Determine Privacy-Related Considerations Specific to the Use of Generative AI Developer Tools
- Assess Security Considerations Associated with the Use of Generative AI Developer Tools
- Related Research
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