When I first heard about vibe coding, I thought it sounded like a shortcut that would break everything later. But then I tried it. I described my idea in plain English… and AI spun up the first version in hours. Not weeks. Not months. Hours. That’s the real power: speed. You can test an idea with customers right away, show a proof of concept, and learn what works. But here’s the catch: Getting to MVP doesn’t mean you’re ready for production. You still need: ✅ Testing ✅ Debugging ✅ Security checks Vibe coding helps you start the race. But fundamentals win the finish line. What’s one challenge you’ve faced with vibe coding? #VibeCoding
How I used vibe coding to test my idea in hours
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🚦 Is "vibe coding" the innovation we need or a shortcut to technical debt? I just published a new blog exploring when to use AI-assisted coding—and when not to. Learn about best practices, common pitfalls, and case studies for building safer, scalable software with LLMs. Read here: https://lnkd.in/d_TTgxcW #AICoding #VibeCoding #SoftwareDevelopment #EngineeringLeadership #WebDev #AI #TechBlog #Programming
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🚨 Beware of Vibe Coding 🚨 Vibe coding feels amazing — you move fast, ship faster, and everything just flows. But heavy dependence on it can slowly kill your critical thinking, debugging instincts, and edge-case awareness. A few months back, I leaned too much on vibe coding to meet short deadlines. I shipped projects, but soon realized I couldn’t solve even basic problems without AI help. My problem-solving skills dropped, and it hit me hard. Thankfully, I caught it early. I went back to weekend problem-solving, slowed down a bit, and started writing code myself again. Now, I discuss with AI, not depend on it. ✅ Use vibe coding for speed. ❌ Don’t let it take away your understanding. Balance velocity with clarity — that’s the real productivity. 💡 #vibecoding
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Last week, I decided to dive into something I've mostly joked about in my day-to-day: Vibe Coding. Despite my initial skepticism, I wanted to see what it was all about, especially since a friend had an app idea and I've got the time these days. I primarily experimented with three different tools: Warp Code, Replit, and Floot. Here’s what I found: - Replit: It felt the most expensive and slowest of the bunch, but it stood out with real authentication capabilities and a file system tool that’s quite similar to a traditional IDE. It's got potential, but the cost and speed were a bummer. - Warp Code: It was my first attempt and landed somewhere in the middle in terms of pricing. However, I spent a lot of time and tokens debugging, which made me question its reliability for consistently writing working code. - Floot: This one surprised me by getting the most done with the least money. While its setup isn't ideal for a real dev environment (in my opinion), its ability to hone in on specific issues was impressive. However, its homebrew authentication setup is a bit scary to trust AI with, requires in depth review. Overall, while Vibe Coding might not replace my usual tools anytime soon, it’s been an interesting journey exploring these platforms and it's definitely solidified a thought I've had for some time, AI is like a Junior dev, the best thing for them is to break the problem/request down as small as possible. The more I asked of these vibe code tools at once, the jankier the work I was returned. I'd often start with a brief sentence or 2 about the feature I want, let it run with it's thoughts, then focus on honing its output back toward what I felt I really wanted or needed. For those who've also given Vibe Coding a shot: What’s been your experience, and do you see it fitting into your workflow? #VibeCoding #SoftwareDevelopment #WarpCode #Replit Floot (YC S25) #CodingTools #TechExperiments
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Don’t become a vibe debugger!! To the new graduates who are diving deep into the vibe coding without having a solid foundation and without learning the basics: You think you are vibe coding and making quick progress. However, in reality you are turning yourself into a vibe debugger, spending most of your time fixing AI generated errors. Focus on the long term goals and sharpen your fundamentals while playing around with tools. Tools can enable you and will make your life easier, where your knowledge and skills are priceless. Good things come at a cost and not always with ease. Image generated by Perplexity #vibecoding
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🚀 Vibe Coding: The Future of Software Development? Developers are shifting from writing code to prompting AI—a trend known as vibe coding. LLMs now handle boilerplate, speed up prototyping, and lower the barrier for innovation. But here’s the catch: ⚠️ Without proper review, we risk hidden bugs, security flaws, and black-box code. 💡 The takeaway: Learn prompt engineering, strengthen testing, and never lose sight of core CS fundamentals. Is this evolution in coding a revolution—or just hype? 🤔 #AI #VibeCoding #CSE #FutureOfTech ✨ Special thanks to my mentor Gungeet Kaur Ma’am for guiding me in exploring such topics!
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When I first started vibe coding last year, I didn’t even know what a Pull Request was. Fast forward to today, I’m casually throwing around terms like: ✅ Pull Request ✅ Repository ✅ Branch Merge ✅ HTTPS GET ✅ JSON Payload ✅ API Endpoint ✅ Webhook ✅ Environment Variable ✅ Token Authentication ✅ Database schema And here’s the funny part… I still don’t write traditional code. I use AI-assisted IDE (Integrated Development Environment) like Bolt.new, Lovable, Replit, Cursor, Windsurf etc. I use AI to translate my intent into working software. I focus on logic, data flow, and outcomes, not syntax. If you told me 2 years ago that I’d be debugging API calls or setting up webhooks, I’d laugh. Now, it’s my daily workflow. AI didn’t replace coders. It expanded the definition of one. You don’t need to “learn to code.” You need to learn how to think in systems. That’s what vibe coding is about. If you started your vibe coding journey too, what was the first technical term you learned that made you feel like a real builder? If you have not, get started by joining my next class: https://lnkd.in/gYFT4TJZ #vibecoding #buildwithai
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Not sure how to get started in the whole vibe coding/AI engineering space? Check out this free series from Lee Robinson at Cursor. I've got a bunch of eng exp but I'll still be going through this because I'm super curious about how the folks building these cutting edge dev tools are eating their own dogfood - while hoping to pick up some nuggets that might help me improve the speed/reliability of my own workflows! 🤞🏼
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Bridging the Gap: Turning Vibe Coding into Production-Ready Software 🔧 🚀 Vibe coding is changing how we prototype software—but production systems demand more than speed. The challenge: turning creative drafts into maintainable, scalable code. Here are 6 techniques to bridge vibe coding → production: 1️⃣ Role separation 🧩 – Use vibe coding for drafts, then shift to structured review/refactor. 2️⃣ Automated quality gates 🛡️ – Linting, static analysis, and style enforcement before merging. 3️⃣ Test-first reinforcement ✅ – Layer unit/integration tests on AI-generated code. 4️⃣ Multi-agent orchestration 🤖 – Assign specialized agents for refactoring, validation, and monitoring. 5️⃣ CI/CD guardrails ⚙️ – Ensure pipelines catch regressions before they reach users. 6️⃣ Feedback loops 🔄 – Connect runtime telemetry to guide refinement and optimization. ✨ The result: creativity at the front, reliability at the back. Done right, vibe coding isn’t a shortcut—it’s a catalyst for robust development. #AI #SoftwareEngineering #Productivity #DevTools
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Vibe Coding: The Future of AI-Driven Software Development Vibe coding is a new AI-driven approach to development where you describe features in natural language and let the AI generate most of the code. Instead of focusing on syntax, you focus on ideas and keep refining through prompts. It’s great for rapid prototyping and making coding accessible to non-experts, but there are challenges like messy code, security risks, and maintainability issues. Right now, it works best for small apps and experiments rather than large production systems. 👉 For a deeper breakdown, check my detailed blog here: The Future of AI-Driven Software Development https://lnkd.in/gUFZBp8b
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Day 28 of the #90DaysWithDSA challenge is complete! Today felt like solving a mini-compiler problem, diving deep into string parsing and nested structures. Today's Problem: Decode String (LeetCode 394 - Medium) The challenge: Decode a string like "3[a2[c]]" into "accaccacc". The encoding rule is k[encoded_string], where the encoded_string inside the brackets is repeated k times. This problem is a perfect application of stacks for handling nested structures. The solution uses two stacks: Count Stack: To keep track of repetition numbers. String Stack: To store partially decoded strings. The Approach: Iterate through each character. When encountering a digit, build the complete number (since k can be multi-digit). On opening bracket [, push the current number and current string to their respective stacks and reset them. On closing bracket ], pop from stacks, repeat the current string, and append to the previous string from the stack. For regular letters, simply append to the current string. Key Takeaway: Stacks are incredibly powerful for handling nested operations, whether it's parentheses, encoding, or even directory paths. This pattern is essential for any kind of parsing or interpreter-like functionality. 28 days of consistent coding. The ability to break down complex parsing problems is growing! 💪 Let's keep this coding community thriving! 👉 Want to master stack operations and string parsing? JOIN THE MISSION! Comment “Decoding with you!” below and share what problem you're solving today. 👉 Repost this ♻️ to help other developers discover this challenge and level up together. What's the most interesting parsing problem you've encountered? #Day28 #Stack #StringParsing #DecodeString #CodingInterview #Programming #SoftwareEngineering #Tech #LearnInPublic #Developer #LeetCode #ProblemSolving
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Building Startups with AI | Delivering POCs in 4 Days 🚀 | Drove €3.5M/Year Sales Growth for Client | Scaled Mobile App to 1M+ Daily Users | Boosted Healthcare Revenue by $5M | Expert in Pharma Insights & Forecasting.
2w📌 Honestly, the hardest part is discipline. AI makes it so easy to spin up features that you end up with a messy stack unless you set guardrails from day one.