Introduction

Making software easier does not shrink work. It unlocks more ideas, more tools, and way more things worth building than before.

What's the problem it solves?

People think better tools mean less work and fewer developers. This article explains why that belief is wrong and keeps failing.

Quick Summary

Every time software becomes easier to build, people do not slow down. They build more. Higher level languages, frameworks, and cloud tools did not reduce work. They made bigger and new projects possible.

AI coding tools remove the hardest part, starting. Tasks that once took weeks now take hours. Many useful ideas were skipped before because they cost too much time. Lower the cost, and suddenly those ideas make sense to build.

The real limit shifts. It is no longer about how fast you can code. It is about what problems are worth solving. Imagination, judgment, and taste matter more than typing code.

Key Takeaways

• Easier tools lead to more software, not less
• Lower cost reveals ideas that were always valuable
• AI changes what is worth building, not just speed
• The main bottleneck moves from building to deciding
• History shows this pattern repeats every time

What to do

• Stop asking if AI will reduce jobs
• Start looking for small tools you skipped before
• Invest in problem choice, not just execution
• Use AI to test more ideas faster
• Build systems, not just features

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