
Optimizing Software Workflow: Exploring Fundamental Impacts in Technology - infoq.com
Software only has value when shipped; faster release cadence matters. Development, deployment, and operations require different thinking, metrics, and investments, Titus Winters explained in his talk Software Workflow Optimization at Craft Conference. He mentioned four impacts in tech: product success, compute capacity, engineering capacity, and strategic innovation. The biggest expense is people, not compute, which goes mostly unmeasured. AI shifts engineers toward deeper problem understanding, not fewer engineers, he argued. Developing software with or without AI, we have to carefully reason about the goals, inputs, and outputs of each phase of the software workflow, Winters mentioned. He referred to the paper Develop, Deploy, Operate - a holistic model for understanding the costs and value of software development that he wrote with Leah Rivers and Salim Virji, which provides guidance for reasoning about impact and efficiency in the software process, whether AI-assisted or not.






