This shift signals a "normalization of deviance" where repeated success without oversight creates a false sense of security. Because AI can now instantly generate professional-looking repositories, traditional engineering signals are losing value. The only remaining proof of software quality is proven usage over time, rather than traditional engineering artifacts.
Treat AI agents like a separate internal team: trust their output as a semi-black box until bugs or performance issues require a deep dive. As coding costs drop, focus on Andrew Ng's strategic design shift. Experience remains the primary amplifier for these tools, making senior oversight critical.
I was talking with @josephruscio on the @heavybit podcast the other day when I realized that vibe coding and agentic engineering have started to blur a bit in some of my work - I published some extracts from the transcript https://t.co/evxoG06Vpa
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