Observability-Driven Development with Digma, Serverless and Java

Digma and Java,
Digma's growth and user feedback,
observability as a tool for early issue detection and better code design,
the importance of continuous observability and reducing mental effort,
Digma's elevator pitch and data science approach,
the changing testing pyramid and the benefits of test containers,
the cost and value of different types of tests,
Digma's architecture and deployment options, recent features and improvements in Digma,
the impact of observability on productivity and shorter feedback loops,
the limitations and potential of large language models (LLMs) in generating tests and code,
the importance of understanding the client and writing maintainable code,
the challenges of complex code generated by LLMs,
the potential of feeding runtime data to LLMs for code generation and optimization,
the Java community's vibrant and innovative nature