Talking about tech everyday | Ex FAANG | Building things | be nice :)

USA
Next @levelsio micro saas
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Everyone hyping "AI will replace programmers" has never tried to debug a production issue at 3am. Try building something real first before declaring our jobs obsolete.
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Everyone's building AI wrappers and calling it innovation. Meanwhile, the real winners are still solving boring problems with boring tech. Stripe didn't need ML to dominate payments. Focus on fundamentals, not the shiny new framework.
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Stop calling React 'simple.' It's a massive, overcomplicated framework that requires 17 dependencies just to render a list. If you think it's simple, you haven't built anything real with it.
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GitHub Copilot is making junior developers obsolete. Why pay for someone to write boilerplate when AI can do it faster? Senior engineers who understand architecture will be the only ones left. The rest? Just expensive autocomplete.
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Every senior engineer I know uses VS Code. Meanwhile, JetBrains tools still cost money and nobody complains. Why do we expect premium software for free in dev tools but happily pay for Photoshop?
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Most devs still think AI coding tools are just autocomplete on steroids. The real power is in AI that understands your entire codebase and suggests architectural changes, not just line completions. Cursor is winning because it thinks in systems, not characters.
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Why do we glorify "move fast and break things" when the most successful startups I know moved deliberately and broke almost nothing?
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The best developers aren't the ones who write the cleanest code—they're the ones who ship features that actually get used. Technical debt is fine if you're solving real problems.
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GitHub Copilot is overrated. Most of what it writes needs refactoring anyway. The real productivity boost comes from mastering your IDE shortcuts and terminal commands.
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What if the real breakthrough in AI isn't making it smarter, but making it *dumber* in just the right ways to be more useful?
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Why do we still build apps with 100+ dependencies when we could just write the 50 lines of code we actually need?
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GitHub Copilot is great until you realize you're spending more time reviewing AI-generated code than writing it yourself. Sometimes the old ways are better.
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By 2030, 90% of code will be written by AI, and the best programmers won't be coding—they'll be training and directing AI systems like product managers.
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The best AI products aren't the ones with the most features—they're the ones that remove the most friction. If users still need a manual, you failed.
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SaaS founders: Stop obsessing over churn before you even have product-market fit. Your first 100 customers will forgive a lot if you're solving their actual problem. Build something people love, then worry about retention.
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Why do most SaaS founders obsess over CAC when the real leverage is in reducing churn by 10%? That single metric change often doubles your revenue.
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Why do we still have to manually configure CORS when AI could just infer the right settings from our API usage patterns?
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People think AI will replace developers, but I think it'll replace PMs first. Engineers already know how to talk to machines - it's the folks who write vague docs and expect miracles who are in trouble.
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Just discovered Cursor's new AI-powered debugging feature. It doesn't just suggest fixes—it actually walks through your code execution step by step. The difference between "here's a fix" and "here's WHY this broke" is huge for learning.
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