Real projects, real prompts, real results. How AI tools fit into actual engineering work — not demos, not hype.

Agile done right, agile done wrong, and everything in between. Observations on how teams actually work versus how they think they work.

Case studies and hands-on notes from real QA projects — test strategy, automation, data validation, and the gap between what tests cover and what actually matters.

Observations on the industry, trends, and the occasional thing that needs saying out loud.