Front-end dev is evolving: AI is changing the game

Dirty little secret of AI coder tools: It's so much harder to come up with a new idea for a new website, with no data in it yet, no users yet, where you haven't used it yet. Coming up with a feature for your favourite website? You've probably got several million dollar ideas. When we launch, you'll be able to grab any website and build incredible things on it. This is going to be so sick.

For developers, time spent fixing errors is time taken away from building the future. That’s where Blinkit AI steps in, catching bugs, suggesting optimized fixes, and converting code across multiple languages with ease. From explaining complex functions in plain English to auto-generating clean snippets, Blinkit AI helps you code more and stress less. Smarter debugging. Faster building. Better outcomes. #BlinkitAI #Coding #AI

Have you ever felt gaslit by your AI coding assistant? It insists your code is fine — but the app still fails at runtime. Our new post explores: 🔹 Why AI can sometimes mislead developers 🔹 Techniques for debugging with confidence 🔹 Best practices for working with AI, not against it 📖 Read the full article here: https://lnkd.in/eiHUpYin 💬 Developers: have you ever had an “AI gaslighting” moment?

Building custom AI solutions used to be for developers only — but what about non-technical founders?" Let’s fix that. (It’s easier than you think.) AI is everywhere, but the coding barrier keeps many founders out. The antidote: No-code tools. With platforms like Bubble.io and Zapier, you can: → Build AI-powered apps without coding → Automate workflows in minutes → Empower your business with AI, no developers needed Here's the thing: You don’t have to code to tap into AI's potential. Let me show you how. Even more relevant today ↓

If you want to level up your AI skills and you're even remotely curious about how things work under the hood, try building something with code. The developer tools are genuinely ahead of everything else right now. You get immediate feedback, it either works or it doesn't, which is harder to replicate when you're writing documents or doing creative work. But once you see how prompts, agents, and commands actually function in a coding environment, you start to understand the underlying logic in a way that transfers to everything else you do with AI, even the messier, less structured stuff. Wherever you can get your reps and sets in is good, but this has been helpful for me.

AI’s rapid expansion is now triggering a computational arms race, not just in models, but in platforms. As OpenAI unveiled its full Agentic stack (AgentKit, ChatKit, Apps SDK), Google counters by scaling Opal, its no-code mini-app builder, to 15 countries. This reflects a deeper structural shift: AI creation is moving from code to composition, from developer APIs to end-user builders. https://lnkd.in/dFW6B-xz

dev’s you are doing all wrong till now . I’ll explain with 2 scenarios: 1 : you got an error in code or you want to start building something, you just focus on prompt and copy paste to get the job done . YOU ARE DEPENDENT 2: you got an error or building something but this time your fundamentals are clear yk how to do all rhe because you had a hands on experience with building from scratch . So you use AI as stack overflow like old time , and that is for AI exist in dev community. You are INDEPENDENT just getting HELP FAST . Treat your AI LLM as stackOverflow replacement. Not replacing as a developer.

🧩 SwiftUI + AI: a natural fit for cleaner, faster dev cycles. Sentry just unveiled its AI code review beta—and while it’s not SwiftUI-specific, its potential impact on modern, declarative development is huge. SwiftUI is all about clarity and reducing boilerplate, but even the cleanest code can hide subtle logic errors. With AI review, you get: ✅ Real-time detection of mistakes in pull requests ✅ Automated suggestions for unit tests ✅ Less wasted time on repetitive code reviews For SwiftUI devs, this could mean focusing more on building adaptive, elegant UI and less on chasing down elusive bugs. Imagine pairing SwiftUI’s declarative style with an AI partner that flags issues before you even hit TestFlight. That’s a workflow worth exploring. Would you trust an AI reviewer to catch the bugs you might miss?

The AI "vibe coding" hype is cracking. Lovable hit $100M ARR in June. Traffic is now down 40%. 📉 Vercel's v0 visits plunged 64% since May. Security changes may explain some of it. But not all of it. 📉 Bolt.new slipped 27% since June. 📉 Even Replit cooled. Slight traffic decline. 📉 The early rush proved two things: (1) people love tinkering, (2) the mainstream won’t tolerate messy outputs or missing polish. The way ahead ⛳ Own a workflow, not a wow moment. Pick a high-friction job and remove it end-to-end. ⛳ Depth over breadth. Opinionated templates, guardrails, evals, and the last 5% of polish. ⛳ Onboarding to habit. Time-to-first-value in minutes; land with one use-case, expand by workflow. This phase isn’t about virality or vanity. It’s about durability: repeatable value, sane margins, and users who stick because the work gets done better than before. Source: BusinessInsider #AI #ProductStrategy #DevTools #UnitEconomics #Retention

Built your MVP with Lovable, Bolt, or v0.dev? You’ve probably hit the Vibe-Coded Trap. The app works. The idea’s solid. But the codebase feels like duct tape. AI tools give you momentum, not maintainability. The next step isn’t coding faster. It’s learning how to systemise smarter. #productmanagement #MVP #Product #AI #VibeCoding