Part 4/16:
Rapid Prototyping: AI enables teams to produce prototypes in days, a pace impossible prior to LLMs. This accelerates exploration, allowing teams to test ideas swiftly—particularly useful when working with throwaway solutions or non-developers.
Understanding Legacy Systems: Using semantic analysis and graph databases, AI helps analyze and interrogate existing codebases, revealing data flows and dependencies that were previously opaque. ThoughtWorks, for instance, advocates for applying LLMs to understand and modernize legacy systems—a process that, in some cases, is now a standard recommendation.