Aksh Mehta’s Post

🤖 Using AI doesn’t automatically mean bad code. I know really strong engineers who use AI every day and their code quality is very high. Why? Because AI doesn’t replace thinking. 🧠 What actually matters: A good engineer: • understands the problem • reviews the output • knows what to change 👉 AI just speeds them up ⚠️ A bad engineer: • copies code blindly • doesn’t understand edge cases • can’t debug when things break 👉 AI just helps them make mistakes faster 💡 So the real difference is NOT: AI vs no AI It’s: 👉 understanding vs no understanding I’ve seen AI: • generate solid boilerplate • help explore ideas faster • unblock small issues But I’ve also seen it: • introduce subtle bugs • create unnecessary complexity • hide problems behind “working code” 🔑 My rule: If you can’t explain the code -> don’t ship it. 💬 Final thought: AI is like a power tool. In the hands of a skilled engineer → huge leverage In the wrong hands → bigger problems, faster Curious — how are you using AI in your workflow? #softwareengineering #ai #coding #developers #productivity #fullstack

🚀 After 7+ years in development, I realized something uncomfortable… I knew how to code. But I didn’t know how to leverage AI effectively. So I started learning differently. Not tutorials. Not random prompts. 👉 I started building AI skill systems using .md files And that changed everything. Now instead of guessing prompts, I: ✅ Reuse structured workflows ✅ Debug faster ✅ Think more like an AI engineer This is just the beginning of my journey. I’ll be sharing everything I learn — daily. If you're an engineer trying to stay relevant in the AI era, follow along. #AI #Developers #CareerGrowth #LearningInPublic #WomenInTech

AI wrote it. You own it. We’re generating code faster than ever. And most of it looks right. Clean. Readable. Even “production-ready”. Until it isn’t. That’s where things change. Debugging AI-generated code is different: • It passes basic tests but fails in edge cases • It follows patterns… but not always your system • It introduces issues you didn’t explicitly design • And sometimes, you don’t fully understand what you’re reading You can ask AI to explain it… but explanation isn’t the same as understanding when things break. That last one is the dangerous part. Because confidence goes up… while understanding goes down. AI didn’t remove the need for good engineers. It raised the bar. Now it’s less about writing code… and more about understanding, questioning, and owning it. Curious — have you already hit a bug from AI-generated code that looked “perfect” at first? #softwareengineering #ai #debugging #development #tech

🚨 AI Can Write Code. But Can It Think Like an Engineer? These days, everyone is using AI to write code. Including me. Need an API? → AI gives it in seconds Need a query? → done Need a feature? → mostly ready At first, it felt like a superpower. But then I noticed something… I was shipping faster 🚀 But not always building better. One real scenario 👇 I used AI to generate a backend API. It worked perfectly in testing. Clean response. No errors. Fast. But after deployment… Things started breaking under real usage: ▪️ Too many DB calls ▪️ No proper indexing ▪️ Repeated API hits (no caching) ▪️ Server load increased suddenly Nothing was “wrong” in the code. But it wasn’t designed for real-world usage. That’s when I understood: AI helps you write code fast. But it doesn’t automatically make your system efficient or scalable. Now my approach is different: I still use AI daily. But I don’t blindly trust it. I ask: ➡️ Is this optimized? ➡️ How many DB queries will this run? ➡️ What happens with 1,000 users? ➡️ Can this be improved before shipping? 💡 Using AI is easy. 🧠 Using it effectively is the real skill. Right now, the difference between developers is not: “Who uses AI” It’s: 👉 “Who understands what AI generated” 💬 Curious — Do you review AI-generated code deeply or just ship it? #AI #SoftwareEngineering #SystemDesign #Developers #BackendDevelopment #Coding #Programming #TechCareers #Scalability #AIEngineering #ITCompany #EngineeringMindset

🤖 AI is changing how we build for the better AI is no longer just a trend. It’s becoming a practical tool in everyday development. From writing boilerplate code to debugging and generating ideas, AI is helping developers move faster and focus on what actually matters. ⚡ What I’ve noticed while using AI: • Faster development cycles • Better productivity on repetitive tasks • Easier learning of new technologies • Quick problem exploration and solutions But the real advantage isn’t just speed… 💡 It’s the ability to focus more on logic, architecture, and problem-solving instead of getting stuck in small details. 🚀 AI is not here to replace developers It’s here to upgrade how we work The developers who learn how to use AI effectively will have a clear edge. 💬 How are you using AI in your daily workflow? #AI #ArtificialIntelligence #SoftwareDevelopment #Developers #TechTrends #Productivity #FutureOfWork #Coding #Learning #Innovation

🤖 When AI tries to help… but makes things worse 😅 We all love AI for making life easier, but sometimes it feels like that overconfident teammate who says “I got this”… and then everything breaks 💡 The reality: AI is powerful, fast, and evolving - but it still needs the right guidance. 👉 As developers & professionals, our role is not to fear AI… but to learn how to use it effectively. #AI #Developers #TechLife #ArtificialIntelligence #Coding #Innovation #FutureOfWork #Learning #Growth #ProgrammerLife

🚨 AI is eating my bread… or is it? A year ago, I used to spend hours writing code, debugging, and building features manually. Today? AI can do a big chunk of that in minutes. So yes… 👉 AI is definitely “eating some bread” But here’s the part people miss 👇 AI is not replacing developers. It’s replacing slow developers. The real shift is: From writing code → to thinking, designing, and solving problems faster Now my workflow looks like: * AI helps me move faster ⚡ * I focus on architecture, logic, and impact 🎯 * I ship more in less time 🚀 So no… AI didn’t take my bread. 👉 It just changed the recipe. 💡 The real question is: Are you fighting AI… or using it to multiply your value? ⸻ #AI #Developers #Tech #FutureOfWork #FullStack #OpenAI #Productivity

🤖 The AI “Vibe Coder” Reality Check How people think we code vs. how it actually is 👇 Society in 2026: “Developers just use AI now! Just type ‘build me an app like Uber’ and go grab coffee ☕” 👨🎓 Junior Dev: Tries 10 different prompts… copies errors… tweaks again… still stuck 😭 🧑💻 Senior Dev: Comes in… writes one proper prompt… and boom — solved in 5 minutes ⚡ Junior: “Same AI… but how?? 😶” AI is powerful 💡 But the real skill is how you prompt it. Prompting isn’t just typing… It’s understanding the problem, giving the right context, and asking the right way. That’s the difference between “AI not working” ❌ and “AI working perfectly” ✅ #Flutter #AI #GenerativeAI #SoftwareDevelopment #Developers  #TechHumor #ProgrammingHumor #DevLife #AIDevelopment #CodingLife  #VibeCoding #AICoding #FutureOfCoding

"Not the code anymore. It’s the product understanding." Everyone says “learn to code.” When i was talking to my lead, my perspective changed.  👉 Coding is no longer the bottleneck. 👉 Understanding what to build is. Today, anyone can generate code using AI. But not everyone can: • Identify the right problem to solve • Truly understand user pain points • Build something people actually need • Think in terms of product, not just features And that’s where the real game is. We’re slowly moving from: 💻 “How do I write this code?” ➡️ 🧠 “Why should this even exist?” Because at the end of the day, perfect code doesn’t guarantee success — but solving the right problem does. So yes, coding still matters. But product thinking? That’s the multiplier. #ProductThinking #SoftwareEngineering #AI #CareerGrowth #Developers #Tech