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Over the years, I’ve watched software engineering evolve again and again. Frameworks change, platforms rise and fall, and expectations keep climbing. Lately, one shift has reshaped the day-to-day more than most: generative AI.
These systems make it easier than ever to build sophisticated features quickly. That speed is exciting, but it also creates new challenges. Teams can deploy powerful AI-driven behavior before they fully understand its limits, failure modes, or downstream impact.
I put this handbook together to help engineers slow that part down. It focuses on building intuition for generative and agentic AI, understanding how they behave in practice, and using them responsibly in production environments.
The handbook is free, and it’s meant to be practical. If it helps you exercise better judgment, build more reliable systems, and lead with clarity as AI becomes more common, it’s done its job.
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