While AI tools are increasingly used in development, they should enhance rather than replace human input. Developers must shift from merely writing code to orchestrating and validating AI-generated code. This ‘spec coding’ emphasizes creating specifications that guide both AI and human efforts. Infrastructure must support this transition, with safeguards like reliable build pipelines and automated security scans. Ultimately, AI is a tool to aid developers, but the nuanced responsibilities of design, security, and performance remain firmly in human hands, ensuring responsible and effective use.
Software Design Patterns – Gary Gruver, Gruver Consulting & Dave Farley, Continuous Delivery Ltd.
Gary Gruver has partnered with Dave Farley, co-author of “Continuous Delivery,” to supply trainees with key software design patterns and an understanding of how to avoid common mistakes along the […]
Engineering Applications for DevOps (Part 2)
This blog series explains how to engineer applications for DevOps. Topics covered in this blog series: • Factors to consider when deciding whether an application is a good candidate for […]
