A series on adopting AI after 30 years in data engineering. The thrills, the stumbles, and the mindset shift that changes everything.
I know what "early" feels like. Novell replacing the VAX room. SQL Server on command line. Now AI. But this time, being early is humbling in a way I didn't expect.
Part 2AI "optimized" a working stored procedure and the results went wrong. Here's the framework I built to make sure AI changes never break tested code again.
Part 3After 30 years of doing things by hand, muscle memory is your biggest obstacle. The daily discipline of asking "could AI do this?" is where the real transformation happens.
Part 4AI went from chatbot to control plane. Here's how I connected it to Snowflake, Jira, GitLab, Talend, and every other system I work with — one API token at a time.