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It's likely then that you are thinking too small. Sure for one off tasks and small implementations, a single prompt might save you 20-30 mins. But when you're building an entire library/service/software in 3 days that normally would have taken you by hand 30 days. Then the real limitation comes down to how fast you can get your design into a structured format. As this article describes.

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Agree that planning time is the bottleneck, but

> 3 days

still seems slow! I’m saying what happens in 2028 when your entire project is 5-10 minutes of total agent runtime - time actually spent writing code and implementing your plan? Trying to parallelize 10m of work with a “town” of agents seems like unnecessary complexity.

I think that most of the anecdotal and research experiences I've seen for AI agent use so far tell us that you need at least a couple pass-throughs to converge upon a good solution, so even in your future vision where we have models 5x as good as now, I'll still need at least a few agents to ensure I arrive at a good solution. By this I specifically mean a working implementation of the design, not an incorrect assumption of the design which leads the AI off on the wrong path which I feel like is the main issue I keep hearing over and over. So coming back to your point, assuming we can have the 'perfect' design document which lays out everything, yeah we'll probably only need like 5 agents total to actually build it in a few years.

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