Data & Analytics
When to Move Your Data Out of Spreadsheets?
As a data engineer, I was trained to be skeptical of spreadsheets. Not because they are inherently bad tools, quite the opposite. The problem…
AI Implementation
AI Implementation
AI in Product Analytics: What Changes for PMs, and What Doesn’t
"Without data, you're just another person with an opinion." That phrase became a cliché because it's true. And it remains true in the generative…
AI Implementation
Scaling AI: A 6-Month Path from Champions to Company-Wide
Every couple of months I get a version of the same call. A CTO rolled out Claude Code or Cursor to the engineering org,…
AI Implementation
Harness Engineering: Why “Done” Isn’t the Agent Saying So
In November 2025, Justin Young at Anthropic published a post on what they had learned running long-running coding agents. One observation in that post…
AI Implementation
Skills vs. Subagents: The Layer Most Teams Confuse
I had a conversation with a tech lead at a client last quarter that crystallized why this article needed to exist. They had spent…
AI Implementation
Spec-Driven Development: How to Capture Intent Before You Burn Tokens
In February 2025, Andrej Karpathy tweeted a phrase that stuck: “There’s a new kind of coding I call vibe coding, where you fully give…
AI Implementation
Plan Mode is the Deal-Breaker: Why Direct Mode Burns Tokens
A few weeks ago I sat with one of our senior engineers while he debugged a project that had gone sideways. The team was…
AI Implementation
The Three Eras of Software: From Autocomplete to Agentic Development
The framing I keep coming back to is from Andrej Karpathy’s June 2025 talk at YC’s AI Startup School. He called it “Software 3.0”…
AI Implementation
Google I/O 2026: The Agentic Era Is a Builder’s Moment
Agentic AI is no longer a side feature or an experimental layer on top of existing products. It’s becoming the foundation underneath everything Google…