"Vibe Coding" has become a popular way to describe building software by simply chatting with an LLM. It feels efficient, but it often lacks engineering rigor. In this episode, Ben Griswold (Grizen) and Noah Heldman (OutcomeSource) discuss the difference between this casual approach and "Spec-Based Coding."

They share a recent experience using Cursor to build a complex feature. The AI agent got them about 75% of the way there in record time, but when they tested it with a small load, the architecture failed. They had to tear it down and start over.

The conversation covers why AI tools often miss non-functional requirements like security rules, database connections, and scaling strategies. Ben and Noah explain why experienced developers are still needed to guide AI agents, essentially acting as mentors to a very fast, but inexperienced, junior engineer.

In This Episode, You'll Learn:

• The definition of Vibe Coding versus Spec-Based Coding.
• The "75% Illusion" where AI makes a project look nearly finished when the foundation is actually missing.
• A real-world story about a Firebase function architecture that failed under a minimal load.
• The specific things AI often forgets to build, such as security rules and pagination.
• How the role of the senior engineer is shifting toward architectural review and mentoring AI agents.

Connect with Us:

• Ben Griswold | Grizen: https://grizen.com
• Noah Heldman | OutcomeSource: https://outcomesource.com