AI Coding & AI-Assisted Delivery Model
After the development of multiple solutions with an AI-Coder, I would like to share methodology details that have made such efforts possible. While working with the machine, we are engaged in a continuous conversation that shapes both the solution and the pace at which it evolves. Let me introduce the AI-Assisted Delivery Model: allowing humans to be humans and machines to be machines. Successful…
The AI-Assisted Delivery Model discussed in the Dev.to article outlines a methodology for leveraging AI-coding tools to enhance software development processes. By treating AI as a variance absorber and maintaining a clear separation of responsibilities between humans and machines, this approach allows for continuous evolution of the solution based on human judgment and direction.
The model emphasizes the importance of establishing a solid foundation upfront, including cloud access, IAM roles, SSO integration, API endpoints, schema definitions, and sample data extracts, to ensure subsequent sprints can focus on shaping business outcomes rather than waiting for system access. This one-to-three-day sprint cadence enables continuous adaptation without the traditional costs, delays, and disruptions associated with changing scope.
Brief written by urgent.news from Dev.to's own syndicated text. Machine-written — may contain errors; check the original before relying on it.
