Explore four pillars for accelerating software delivery with AI while strengthening security, observability, and governance.
This Harvard Business Review Analytic Services white paper, sponsored by AWS, LogicMonitor, SmartBear, Sonatype, and Quickbase, explores how organizations can embrace modern software development practices in the AI era. The research examines four key pillars essential for success: speed and agility, improved visibility through testing and observability, AI-powered automation, and embedded security and governance.
Key findings include:
- 87% of developers using generative AI reported increased focus on meaningful work.
- Organizations face significant challenges in monitoring security across growing attack surfaces.
- Modern software development requires new skills in infrastructure operations (59%), cloud migration (54%), and cybersecurity (52%).
- The integration of AI and automation is crucial for improving efficiency and quality in software development.
- Success requires careful balance of innovation and security, along with strong organizational buy-in.
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