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The Lean Startup Is No Longer Enough
- The Lean Startup philosophy emerged as a way to reduce waste and test assumptions early in a resource-constrained environment.
- With the rise of generative AI, tasks that once took weeks can now be completed in a fraction of the time.
- AI tools like GitHub Copilot and Vercel AI SDKs are enabling faster deployment and documentation of code.
- A significant portion of startup codebases are now generated by AI, shifting the focus from manual coding to strategic decision-making.
- The cost of iteration in software development is decreasing dramatically due to AI-driven efficiencies.
- The landscape of software development has evolved, emphasizing strategy and distribution over pure development speed.
- In an AI-native world, the software development cycle prioritizes fast testing, real user signals measurement, and rapid iteration.
- The internet has transitioned from open discovery platforms like Hacker News to gated ecosystems within social media and app stores.
- While Lean and Agile principles remain important, they are no longer sufficient strategies for modern software development and market entry.
- The rise of solo founder startups may be attributed to AI tools reducing the minimum viable team size and accelerating tasks previously requiring multiple roles.
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