Vibe-Engineering LakeFlow Pipelines, the Advancing Analytics Way
We've seen far too many examples of people slinging one-shot vibe-coded AI slop out into the world, slapping a production badge on it and calling it a day. But conversely, we've seen far too many people completely rule out using AI in the data development process, and missing all of the competitive advantage it brings... so how do we reconcile the two? We've been working on something pretty special - a hybrid of engineering and LLMs. An opinionated, structured, well-engineered process with specially guided Agents that use the framework to mass produce pipeline code... in minutes... at scale. We think this is what the next few years of AI-fuelled engineering looks like, and we wanted to give you a first peek of what we're building.

▶︎
Will AI Replace Data Engineering? - Advancing Spark

▶︎
Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

▶︎
Prioritization as code: An AI-supported framework for platform engineering

▶︎
Synchronising Power BI to Metric Views with Tabular Editor's Semantic Bridge

▶︎
Inside Anthropic, the $965 Billion AI Juggernaut | The Circuit

▶︎
Behind the Hype - The Medallion Architecture Doesn't Work

▶︎
Why The Best Software Engineers Focus On System Design

▶︎
How AI agents & Claude skills work (Clearly Explained)

▶︎
I Re-Created A Quant Trading Strategy With Claude Code (Insanely Cool)

▶︎
Scott and Mark learn...how agents reshape software engineering | BRK247

▶︎
Is the AI Boom About to COLLAPSE?

▶︎
AI/BI Dashboards - July 2025 Updates

▶︎
How Instagram Scaled Postgres to 2 Billion Users

▶︎
Unfortunately, I Was Right

▶︎
Harnesses in AI: A Deep Dive — Tejas Kumar, IBM

▶︎
Turbo-Charge your Agents with instant MCP in Databricks

▶︎
Anthropic's Boris Cherny: Why Coding Is Solved, and What Comes Next

▶︎
Model Context Protocol (MCP), clearly explained (why it matters)

▶︎
Getting GenAI to Production with Mosaic AI Gateway in Databricks

▶︎
