6 posts tagged with ai-engineering.
An honest review of The Generative AI Career Masterplan by Ali Arsanjani, Sadid Hasan, Maxime Labonne, Andreas Horn, and Leonid Kuligin (Packt). A broad, evidence-first career roadmap whose career half is stronger than its technical half.
An honest review of Enterprise Vibe Coding for Agentic Engineering by Valentina Alto (Packt). Why the book is an operating model for steering coding agents in a real repository, not a guide to better prompts.
ChicagoPulse won Gold in the Databricks Genie-Powered App Challenge. Here is how governed metrics, evaluation, and visible evidence turned a civic-data chatbot into an app people can inspect and trust.
A grounded review of Sam Bhagwat's two free Mastra books, Principles of Building AI Agents and Patterns for Building AI Agents. Principles teaches what to build; Patterns teaches how to keep it alive in production.
An honest, in-depth review of 30 Agents Every AI Engineer Must Build by Imran Ahmad (Packt). Why the book is really a pattern library for production agent engineering, not a catalog of 30 demos.
A technical deep dive into Databricks Data + AI Summit 2026: Genie One, Unity AI Gateway, Lakeflow, LTAP, Lakebase, and Lakewatch, and what each announcement means for data and AI engineers.
