AI coding is at L3 autonomy, but infrastructure is stuck at L1
AI coding has advanced significantly, reaching a level of autonomy where AI can generate code based on simple descriptions. However, the underlying infrastructure supporting these advancements remains outdated and inadequate. A complete overhaul of the AI infrastructure is necessary to fully realize the potential of autonomous coding technologies.
- ▪Vibe coding allows users to describe their coding needs in plain English, resulting in AI-generated code.
- ▪Despite advancements in AI coding, the infrastructure is still lagging behind, operating at levels L1 to L2.
- ▪A significant portion of major tech companies' codebases is now AI-generated, with some developers not writing code manually for months.
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BACK TO BLOGAI’s Got a Ferrari Engine while Infrastructure’s Got a Shopping CartApril 15, 2026Research By Sasivarnan Kanaghasalam SathyapriyaWhy is AI infrastructure lagging behind on AI adoption even though they power the whole AI ecosystem as its backbone? This question has bugged me for so long especially with the pace at which the industry is growing. We are literally running Formulae 1 cars (cutting edge AI applications) on dirt roads (AI infrastructure layer). To understand why I call infrastructure dirt roads, we’d need to do a quick recap of our current AI application layer.And one of the most electric examples? Vibe coding.The Rise of "Just Describe What You Want"The term was coined by Andrej Karpathy, co-founder of OpenAI and former AI lead at Tesla, back in February 2025.
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