Observability Driven Development
Clarity in identifying specific user behaviors is essential for effective development. Early access programs can reduce risk, but often, launching a product and observing real user interactions leads to faster and more meaningful improvements. The real challenge lies in recognizing that the work truly begins once a product is live, especially when leveraging the capabilities of large language models.In this clip
From this podcast
Software Engineering Radio - the podcast for professional software developers
SE Radio 610: Phillip Carter on Observability for Large Language Models
Related Questions
Why is testing and listening important in the context of product development or marketing in the episode SE Radio 610: Phillip Carter on Observability for Large Language Models and the clip Embracing New Practices?
What problems do developers face when building AI applications as discussed in the episode SE Radio 610: Phillip Carter on Observability for Large Language Models and the clip Embracing New Practices?