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Generative AI Gains Traction in Development Environments
Buyers Increasingly Seek GenAI for Development Requirements
AI Joins With IaC and Container Orchestration to Improve DevOps
Conclusion
Research Methodology
Respondent Demographics
Research Report: Code Transformed: Tracking the Impact of Generative AI on Application Development
Research Report
Oct 24, 2024
by
Jon Brown, Torsten Volk, Christian Perry, Enterprise Strategy Group Research
Cloud-native DevOps and platform engineering are key enablers of digital transformation at scale. With the advent and aid of generative AI (GenAI), organizations can significantly improve the maintenance, monitoring, and automation of their environments alongside the steady presence of rapid data growth. As development platforms evolve to support more diverse tools, development teams and their collaborative internal stakeholders are reassessing their methods, policies, and strategies to identify areas for optimization and ensure GenAI-led improvements stay in line with larger corporate goals and policies.
To gain further insight into the current status and near future of AI in application development, TechTarget’s Enterprise Strategy Group surveyed 325 IT and application development professionals at organizations in North America (US and Canada) involved with AI technology and processes, including generative AI.
Page Count: 21
Table of Contents
Executive Summary
Report Conclusions
Introduction
Research Objectives
Research Findings
Development Teams Lean Heavily on Automation
Generative AI Gains Traction in Development Environments
Buyers Increasingly Seek GenAI for Development Requirements
AI Joins With IaC and Container Orchestration to Improve DevOps
