I came across an interesting challenge: some Agent sandboxes only provide two virtual CPUs and 4 GB of memory. How is that any different from running a container locally?
It’s a very practical, very real question. The biggest misconception about AI applications this year is that the bottleneck is the model. Anyone who’s actually built one knows the bottlenecks are the file system, concurrency, timeout retries, and all those edge cases nobody documented.
That’s why I’ve always been skeptical of narratives like “generate an app with one sentence.” The gap between a demo and a product has never been about intelligence—it’s all the glue code nobody wants to write.
Would you rather spend your time tuning models, or filling in those boring but critical details?
It’s a very practical, very real question. The biggest misconception about AI applications this year is that the bottleneck is the model. Anyone who’s actually built one knows the bottlenecks are the file system, concurrency, timeout retries, and all those edge cases nobody documented.
That’s why I’ve always been skeptical of narratives like “generate an app with one sentence.” The gap between a demo and a product has never been about intelligence—it’s all the glue code nobody wants to write.
Would you rather spend your time tuning models, or filling in those boring but critical details?