Nityesh Agarwal

“Author of "Claude Code: The Most Common Questions Beginners Ask" in Every - Source Code”

Thinking about AI product development through board game mechanics—specifically worker placement, area control, and victory conditions—helps overcome creative blocks when building with large language models.

“Co-built Claudie, an AI agent, with Natalia Quintero in two weeks using Claude Code.”

Claude Skills enable custom instruction packages for task automation, but reliable deployment across organizations requires addressing gaps between initial creation and consistent performance.

“Created an impressive custom skill that improved Claude's presentation design capabilities using Anthropic's Skills feature.”

DSPy is an automated prompt-optimization framework that has made traditional manual prompt engineering largely obsolete, with the author stopping manual prompt writing in favor of DSPy-optimized prompts.

“Participated in the DSPy walkthrough tutorial as an engineer learning prompt optimization.”