We are all fixated on large language models and autonomous agents right now. But code sitting in a repository is not an actual application. The real engineering grind is figuring out what runs these applications when the volume of code increases by orders of magnitude.
Here is what we need to consider:
- Models are just the catalyst that shows what is possible.
- Applications require hosting, routing, databases, and deployment pipelines to function.
- Sprawling and manually configured infrastructure will break under the upcoming volume of AI software.
- Platforms that connect code to the world are the actual canals making this revolution work.Check out the full technical write-up to learn why infrastructure outlives the machines.
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