
"We should be seeing apps of all shapes and sizes, video games, new websites, mobile apps, software-as-a-service apps - we should be drowning in choice. We should be in the middle of an indie software revolution. We should be seeing 10,000 Tetris clones on Steam."
"With all you know about AI-assisted coding and its wide adoption, if I showed you charts and graphs of new software releases across the world, what shape of that graph would you expect? Instead of exponential growth up-and-to-the-right, relevant indicators were all flat or typical."
"By the end of the year, underlying conditions had changed. AI-coding tools had gotten a dramatic upgrade, going from useful assistants for specific coding tasks to tools capable of producing entire pieces of software from a series of prompts."
A programmer questioned why AI-assisted coding productivity gains weren't reflected in increased software releases, noting flat metrics across app stores, domain registrations, and game platforms despite widespread AI adoption. He argued the expected flood of indie software and applications was absent. However, by year-end, AI-coding capabilities advanced dramatically, transitioning from specialized task assistance to generating complete software from prompts. This evolution enabled "vibe coding" as a viable development approach, ultimately triggering the anticipated surge in new applications, particularly iOS apps, validating earlier predictions about AI's impact on software production.
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