Part 6/14:

With automation becoming more sophisticated and democratized, what skills should young developers focus on? Ragu emphasizes that cultural intelligence, problem-solving, and rapid learning are more vital than specific coding languages.

While knowledge of Python or Java remains relevant, especially for professional developers, much of future work will involve prompt engineering, understanding how to craft effective prompts for LLMs, and designing simple, single-task agents grounded in enterprise data.

Underrated but crucial skills include:

• Problem identification and decomposition

• Understanding deterministic vs. non-deterministic workflows

• Guardrail design for AI reliability and safety

• Humans-in-the-loop oversight