Building an agentic code reviewer that catches consistency drift before production
Karpathy's agentic engineering thesis applied to a concrete problem: automated quality gates that flag one-off logic, abandoned patterns, and batch inconsistencies.
Evidence-based AI market signals, coding demand, and practical growth cases for builders.
Karpathy's agentic engineering thesis applied to a concrete problem: automated quality gates that flag one-off logic, abandoned patterns, and batch inconsistencies.
Meta says Muse Spark 1.3 cuts tool calls ~20% and tokens ~25% (vendor figures, unverified). Here's how I turned that promise into something I could actually measure on VicroCode.