Skill is getting an AI to build a feature. Taste is knowing if the feature should exist at all. I also use AI to write code. Sometimes, it copies patterns from old repos The code compiles. The tests pass. But the pattern is wrong for us. AI has no intuition. It has no scar tissue from past production incidents. It only knows patterns. Productive engineers have to bring the judgment. Stop treating AI output as a final draft. Treat it as a baseline to critique. Doing this takes more time upfront. The trade-off is that you ship less slop and prevent incidents later. ☝️ Read the full article to see how to prevent AI slop: https://lnkd.in/e_R-Z78T ♻️ REPOST to help someone today #softwareengineering #coding #programming
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Me: AI, fix this one tiny bug 🤏 AI: Sure. Deletes structure Renames files Rewrites logic Starts a new architecture 💀 Why does this happen? Because sometimes AI doesn’t fix the bug… It fixes your entire life. Real developer move 👇 ✅ Give small context ✅ Ask for one change only ✅ Review every line ✅ Test before trust AI is powerful. But without direction… it’s just a confident intern with keyboard access 😭 The future won’t belong to developers who use AI blindly. It’ll belong to developers who know how to control it. How many times has AI “helped” you like this? 👇😂 #AI #Developers #Programming #Coding #TechHumor #SoftwareEngineering
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Plot twist: I still write my code by hand. No AI. No Copilot. No Claude. Just me, the keyboard, and probably too much confidence. 😁 While others prompt, I type. While others wait, I’m already shipping. AI is powerful. No doubt. But if you can’t build it without the tool, you don’t really understand the problem. Tools speed you up. Understanding is what sets you apart. (At least for now.) #vibecoding #programming #softwareengineering #ai
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Before AI, coding was slower. You had to read, explore, break things, and debug to understand one problem. Now? You ask → get code → it works. Faster? Yes. But here’s the catch: It’s easier than ever to build something without actually understanding it. And that’s where problems begin. Because when things break in production, you’re on your own. I’ve started asking myself more often: 👉 “Do I understand this… or did I just make it work?” AI is powerful. But if we skip the thinking part, we’re just building faster… with weaker foundations. Speed is improving. Depth should not be optional #softwareengineering #coding #ai #developers #programming #learning #vibecoding
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AI didn’t replace engineering judgment. It amplified the consequences of bad judgment. ⚙️ Use traditional coding when: • Logic is deterministic • Performance & cost matter • You need predictable outcomes 🤖 Use AI / ADK when: • The problem is ambiguous • Context & language matter • Speed of iteration beats precision The best engineers in 2026 won’t be: • The ones who reject AI • Or the ones who use AI for everything They’ll be the ones who ask: 👉 “Is this problem even worth an AI call?” #SoftwareEngineering #ArtificialIntelligence #Programming #Developers #TechLeadership #FutureOfWork #Innovation #AIEngineering
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Me: AI, fix this one tiny bug 🤏 AI: Sure 🙂 Deletes structure Renames files Rewrites logic Starts a new architecture 💀 Why does this happen? Because sometimes AI doesn’t just fix the bug… It refactors your entire existence. Real developer move 👇 ✔ Give minimal, clear context ✔ Ask for one change at a time ✔ Review every line ✔ Test before trust AI is powerful. But without direction… it’s just a very confident intern with keyboard access 😭 The future won’t belong to developers who use AI blindly. It’ll belong to those who know how to control it. How many times has AI “helped” you like this? 👇😂 #AI #Developers #Programming #Coding #SoftwareEngineering #TechHumor
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AI never says "I don't know," big risk! ⚠️ - AI-generated code can look correct but may not compile. - These outputs resemble "Stack Overflow on steroids," providing rapid solutions without verification. - AI lacks a mechanism to express uncertainty, leading to overconfidence in wrong results. - Developers must still review, test, and debug AI outputs to avoid propagating errors. - Future AI improvements should emphasize the need for acknowledging uncertainty and incorporate validation mechanisms. Let's stay vigilant and ensure our code runs smoothly! Comment below your experiences with AI-generated code. 🤔💻 #AI #Coding #Tech #SoftwareDevelopment #Programming #Developers #AIConfidence
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I asked AI for 10 lines of code. I got 1,000. That was a Tuesday. Before AI: Write code. Fix bug. Ship. Done. After AI: Ask for 10 lines. Get 1,000. Debug for 12 hours. Fix one bug. Spawn 3 more. "It worked yesterday." ♻️ Repost if your AI debugging log looks like a receipt. The real skill in 2026 isn't writing code. It's knowing exactly what to ask for and what NOT to let AI touch. AI is a multiplier. Use it sharp or it multiplies your problems, not your output. The developers winning right now aren't using AI the most. They're using it the smartest. #SoftwareEngineering #AITools #CleanCode #DeveloperLife #CodingHumor #AIAutomation #TechHumor #Programming #LearnToCode #BuildInPublic
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In today’s AI era, programming is no longer just about writing lines of code. It is about thinking clearly, asking better questions, and knowing how to turn ideas into something real. AI can help us move faster. It can suggest code. It can automate tasks. It can even help us learn. But it still cannot replace human judgment, creativity, empathy, and purpose. The real value of a programmer today is not just in knowing syntax. It is in knowing what to build, why it matters, and how to solve problems that actually help people. That is what makes this era so exciting. You do not have to know everything. You do not have to be perfect. You just have to stay curious, keep learning, and keep building. Because in a world full of AI tools, the human behind the keyboard still makes the difference. #Programming #AI #Coding #SoftwareDevelopment #ArtificialIntelligence #TechLeadership #Innovation #FutureOfWork
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Not because coding is useless. But because it’s no longer the hardest part. AI can already write code in seconds. That barrier is gone. So where does value move? Not in writing code. In deciding what should be built. The real questions are: • What problem are we solving? • Why does it matter? • What does success actually look like? Because software was never limited by syntax. It was limited by clarity. AI can generate functions. But it cannot define intent properly. And that’s where human value now lives. #Programming #AI #FutureSkills
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AI tools go down for 10 minutes… Suddenly, things shift. Let’s think about it” becomes a real strategy again. Documentation and fundamentals take center stage. Problem-solving moves back to first principles. It’s fascinating how quickly the narrative of “AI will replace developers” turns into “Let’s figure this out step by step.” A good reminder: The real strength has always been our ability to understand, reason, and solve. #AI #Programming #SystemDesign #DeveloperExperience
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This is a small tip from my own experience for getting perfect-quality code written by AI. Always show your best-quality code examples to AI, and it will write code of the same quality.