News Summary

• A key aspect of architecting an MVP is forming and testing hypotheses about how the system will meet its QARs.
• While AI cannot completely perform any task, it can partially support some of the tasks more than others.
• Getting good results requires specific requirements, clear communication, and an understanding of the desired outcome.
• This is true whether or not you are using an LLM.Sometimes validating the AI’s results may require more skills than would be required to create the solution from scratch.