There’s something interesting happening in the way we write code today. A typical flow now looks like this: 👉 You describe a problem to an AI tool 👉 It generates code in seconds 👉 You paste it 👉 If it breaks, you send the error back to AI 👉 Repeat until it works Efficient? Absolutely. But is it making us better developers? That’s the real question. I’m not against AI-assisted coding — in fact, it’s one of the most powerful productivity boosters we’ve ever had. But blind dependency comes at a cost: • We stop thinking deeply about the problem • We skip the “struggle phase” where real learning happens • We rely on outputs without understanding the logic • We slowly lose the ability to build from scratch And that’s where the risk lies. AI should be a co-pilot, not an auto-pilot. The real value comes when: - You read the generated code line by line - You understand why it works, not just that it works - You refactor and improve it - You try writing it yourself before (or after) using AI Because coding is not just about getting results — it’s about building thinking patterns. If we only focus on outcomes, we might ship faster today… But if we focus on understanding, we build skills that last a lifetime. Use AI. Learn faster. Build smarter. But don’t outsource your thinking. #AI #Coding #Learning #SoftwareDevelopment #Developers #TechCareers #Productivity #GenAI
I appreciate you highlighting the "struggle phase" of coding. It's so true that relying solely on AI-generated code bypasses the critical learning that happens when we wrestle with challenges ourselves. Do you find yourself intentionally seeking out "manual" coding exercises to maintain those skills?
For now its easy but also think future how it will be due to relaxation of devs. The code will be messy major communities have more code each era of life and would me requiring more senior devs, architects and consultants to make it up to compete upcomming changes