Technical guide to AWS Bedrock: how to integrate foundation models into applications, build AI agents, implement RAG, and manage inference costs in production.
Practical guide to event-driven architecture: fundamental patterns, common anti-patterns, when to use events vs synchronous calls, and how to implement EDA without losing control.
Practical guide to AI pair programming: when it helps, when it hurts, best practices, real productivity measurement, and how to integrate AI into your development workflow without compromising quality.
How to implement recommendation systems and AI personalization in e-commerce. Algorithms that work, personalization strategies by segment, impact metrics, and common mistakes.
Practical analysis of when to prioritize retention over user acquisition. Key metrics, decision frameworks, strategies by product phase, and ROI calculations for each approach.
Practical guide to planning your company technology budget: spending categories, common mistakes, how to justify the investment to the board, and frameworks to optimize without cutting capabilities.