✨ Tushar Wadekar’s Post

Fast developers are everywhere now. Thanks to AI. But good developers? Still rare. Because speed is easy now. You can: • Generate code • Build features quickly • Try new stacks instantly But here’s the problem: Speed without understanding creates weak developers. They can build fast but can’t debug. They can ship but can’t explain. AI didn’t change that. It exposed it. The real skill today is not coding faster. It’s understanding deeper. Use AI. But don’t let it replace your thinking. That’s the difference between a fast developer and a good one. #SoftwareDeveloper #AI #ArtificialIntelligence #DeveloperJourney #Programming #LearnToCode #GrowthMindset #BuildInPublic #TechTrends

Developers are no longer just fixing their own mistakes. they are also interpreting AI-generated logic, which can sometimes be overly generic, slightly incorrect and hard to trace. But here is the deeper reality: 👉 AI does not replace developers, it shifts the skillset required. The best developers today are those who: 1. Know what to ask AI🤓. 2. Can review and validate code critically. 3. Understand system design and logic deeply. 💡Insight: AI makes bad developers faster…... and good developers unstoppable. #Softwaredevelopment #AIdevelopers #ArtificialIntelligence #Smartminds

I have a problem with AI coding tools. Ask them to write some code → they do. Then ask the same AI: “What’s wrong with this code?” → Boom. 100 issues!! You fix all 100. Give it back to the AI. “Any issues now?” Boom. Another 100 !!! So… it keeps roasting its own code. But we’re supposed to trust it with production? 🤔 I’m not saying AI is useless. I’m saying: how reliable is a tool that constantly disagrees with itself? What’s your experience? Do you trust AI for serious coding, or just for quick helpers and ideas? 💬 #AI #AICoding #SoftwareDevelopment #Programming #Coding #Developer #Tech #ArtificialIntelligence #CodeReview #FutureOfWork #ProgrammingHumor

I built my personal project using a coding agent, and almost everything was AI-generated. The project was working well—fast, clean, and completed quickly. I thought, “Damn, my productivity is 10x now.” Then, a small issue arose. Nothing big, just a tiny bug. So, I did what I was used to: I asked AI to fix it. I tried different prompts and approaches, but after 2+ hours, I still had no solution. Then I stopped, opened the code, read it line by line, and traced the flow. I found the issue—a small mistake that I fixed in just 2 minutes. That’s when it hit me: AI didn’t fail; my understanding did. I was building fast but not thinking enough. The lesson learned is that AI can speed up your work, but it can’t replace your debugging ability. Now, I use AI differently: - For direction - For ideas - For acceleration But not as a replacement for thinking. Because at the end of the day, if you can’t debug it, you don’t really own it. Have you faced something similar while using AI #AI #SoftwareEngineering #Developers #Coding #Debugging #LearningInPublic #Tech #Programming

AI is not reducing the amount of code we write. It’s doing the opposite. It’s making code cheap. When writing code becomes easier, we don’t write less - we explore more, prototype more, try more things we would’ve skipped before. The result? More features. More experiments. More abandoned code. More complexity. AI didn’t simplify systems. It lowered the cost of adding to them. And that leads to a different problem: The most valuable skill right now is not writing code. It’s deleting it. Cutting unnecessary abstractions. Removing AI-generated noise. Simplifying what shouldn’t have been built in the first place. Because the real bottleneck is no longer “how fast can you build.” It’s: How clean can you keep what you built? The best engineers in the AI era won’t be the fastest typers. They’ll be the best editors. #AI #ArtificialIntelligence #SoftwareEngineering #Programming #CleanCode #DevTools #AIcoding #Productivity #Engineering #BuildInPublic

The "Rubber Duck" 🦆 vs. The "Human" (ELI14) 🙅 Personas I just watched a dev solve in 10 minutes what took me 3 hours last year. The difference? They talked to AI like a Rubber Duck—not a know-it-all friend. Here's what most people miss: The Duck never gets bored. It never sighs when you ask the same thing differently. And you never feel embarrassed when the "complex" bug is just a missing semicolon. The pattern that's working: → Explain your problem out loud (forces clarity) → Walk through your logic step-by-step → Catch your assumptions before AI even responds. The truth? The developers learning fastest aren't the smartest—they're the ones unafraid to think out loud with a tool that has infinite patience. Try this today: Next time you're stuck, explain your problem to AI before asking for the solution. You might solve it yourself. 😀 What's your Rubber Duck moment this week? #AI #ArtificialIntelligence #MachineLearning #DeveloperGrowth #LearningInPublic #ContinuousLearning #TechCommunity #SoftwareDevelopment #CodingLife #Programming #TechTips #ProductivityHacks #DeveloperTools #AITools #ProblemSolving #CareerGrowth #TechInnovation #LearnToCode #SoftwareEngineering #DeveloperCommunity

If AI is handling the heavy lifting of code and logic, where does your mind go?  I've been reflecting on the "cognitive unload" we're all experiencing. There’s a growing gap between using AI to work less and using it to learn faster. We’re moving from being pure coders to "Holo-developers"—getting involved in everything from conception and  research to validation.  In my latest post, I explore:  🧠 The shift to agentic workflows.  ⚖️ Reinvesting our "saved" time using Time Economics.  🧘 Why holding the intent is our new superpower.  If you're not loading the same cognitive weight, where is your mind?  #AI #SoftwareEngineering #Productivity #Learning #FutureOfWork #Programming

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

𝗔𝗜 𝘄𝗿𝗼𝘁𝗲 𝘁𝗵𝗲 𝗰𝗼𝗱𝗲 𝗶𝗻 30 𝘀𝗲𝗰𝗼𝗻𝗱𝘀. 𝗜𝘁 𝘁𝗼𝗼𝗸 𝗺𝗲 3 𝗵𝗼𝘂𝗿𝘀 𝘁𝗼 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗶𝘁. That’s when it #hit me. Getting code isn’t the hard part anymore. #𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 it is. I’ve used AI for coding. And yeah, sometimes it gives 𝗽𝗲𝗿𝗳𝗲𝗰𝘁 𝗼𝘂𝘁𝗽𝘂𝘁 instantly. But the real test comes later when something small #𝗯𝗿𝗲𝗮𝗸𝘀… and you don’t even know where to start. You’re not solving the problem. You’re just passing it back to AI again and again. That’s not #𝗱𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴. That’s #𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆. That experience taught me something important: 𝗦𝗽𝗲𝗲𝗱 feels productive, but #𝗰𝗹𝗮𝗿𝗶𝘁𝘆 is what actually matters If you can’t 𝗲𝘅𝗽𝗹𝗮𝗶𝗻 your code, you can’t fix it Tools can assist you, but they can’t replace your #𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 AI isn’t the problem. 𝗕𝗹𝗶𝗻𝗱 𝘂𝘀𝗮𝗴𝗲 is. Because at the end of the day, it’s not about how fast you generate code… it’s about how confidently you can 𝗼𝘄𝗻 it. 𝗟𝗲𝘀𝘀 𝗼𝘂𝘁𝗽𝘂𝘁. 𝗠𝗼𝗿𝗲 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽. #SoftwareDevelopment #AI #Coding #DeveloperLife #LearnToCode #Tech

Vibe Coding vs Coding with AI. They look similar. They're not. Vibe Coding: Prompt → straight to Production → iterate when it breaks Coding with AI: Prompt → understand the Code → then push to Production One treats AI as a magic wand. The other treats AI as a powerful tool you still have to master. The difference shows up the moment something breaks in production. Vibe coder → pastes the error back into the prompt and hopes for the best AI-assisted developer → understands WHY it broke and fixes it precisely AI doesn't replace engineering judgement. It amplifies it but only if you bring the judgement first. Prompt Engineering isn't about generating code faster. It's about generating the RIGHT code with full understanding. Which approach do you use? Credits: Yan Cui #AI #Programming #PromptEngineering #SoftwareEngineering #VibeCoding #Developer #Tech #Coding #CareerGrowth