The Cure for the Vibe Coding Hangover — Corey J. Gallon, Rexmore
Nov 24, 2025 · 57:02
Corey J. Gallon presents a framework to cure the 'vibe coding hangover'—the despair of building unmaintainable demoware with AI coding agents. He argues that treating AI as a pure productivity tool leads to brittle code and dependency, so his framework centers on ten principles: AI engineering as accelerated learning, the architect-implementer boundary, slowing down to go fast, specification over prompt engineering, defining 'done' before implementing, feature atomicity, dependency-driven development, implementing one atomic feature at a time, context engineering, and 'make it work, make it right, make it fast.' The process splits into a planning phase (vision capture, feature identification, iterative specification, dependency analysis, implementation plan) and an implementation loop that uses multisensory feedback (visual, auditory, tactile) to validate each atomic feature. This framework has been used to build real applications such as litigation support for law firms and real-time appliance monitoring.
