The hosts spend considerable time discussing coffee preferences and brewing methods. They critique Dunkin' Donuts coffee quality, with the consensus being it's subpar without heavy sugar additions. Matt shares his experiences with different brewing methods including espresso machines, palm press, and Chemex. Scott provides an enthusiastic review of his new Breville espresso machine, explaining the learning curve around grind settings and shot preparation. The group agrees that smaller coffee shops generally have better quality beans than chain establishments.

The team discusses Cursor's major update, which repositions it as an "AI-first" coding experience rather than just VS Code with AI features. Key changes include:

Matt notes mixed results with the new composer model, finding it sometimes lazy about fixing unrelated test failures.

The hosts share their experiences with various AI coding assistants:

They debate the cost implications of AI tools, with Dillon suggesting some features are "easy ways to waste money."

Scott explains his experimentation with Git worktrees as a way to work on multiple branches simultaneously. The consensus is that while worktrees are useful for quick context switching (like handling urgent hotfixes mid-feature), simply cloning the repository multiple times may be simpler for many developers.

The hosts touch on how companies are handling AI usage during technical interviews. Matt notes his company measures "AI fluency" in behavioral questions but doesn't allow AI use during coding sessions, creating an interesting contradiction.