Robert Pallas's Linkedin Analytics

I’ve hired 65 developers over the past 7 years But interviews today feel like science fiction → AI-written resumes → Deepfake video candidates → Voice clones doing technical rounds → Real people… talking like ChatGPT prompts It’s no longer just “can they code?” Now it’s also “are they even human?” Some things I’ve learned: → Interview in-person if possible → Remote? Video ON, always → Start with a quick warm-up:   ↳ ask them to wave   ↳ turn their head   ↳ show both hands ↳ deepfakes struggle with this ↳ 𝘺𝘦𝘢𝘩, 𝘺𝘰𝘶 𝘤𝘢𝘯 𝘢𝘭𝘴𝘰 𝘥𝘰 𝘪𝘵 𝘪𝘯-𝘱𝘦𝘳𝘴𝘰𝘯 😂 Personal experience questions:   → What’s a small bug you fixed that made a big difference?  → Tell me about a teammate who changed how you work  → What’s a tech you’d never use again, and why? The future of hiring devs isn’t just about skills It’s about keeping it 𝘳𝘦𝘢𝘭 Literally. Share any questions you use that are better answered with human intelligence in the comments 👇

I wouldn’t want to start as a software dev today. Not because it’s harder to learn. But because it’s easier to skip learning. AI makes it way too tempting to cut corners. Why build understanding when you can copy-paste results? I see it already: → 0 debug skills → devs who don’t know how a loop works → don’t know what memory is or why it matters → zero grasp of databases, system design, or security → deploying apps without knowing what a server does → no clue how browsers work, or what the network even does They can “build apps” — sure. Until something breaks. Until they need to scale. Until they hit a wall and don’t even know why. I don’t blame them. The tools are great. But the habits they’re forming? Dangerous. If you’re starting out: Don’t just build with AI. Build with understanding. Learn the basics! Become an engineer, not a prompt operator.

AI vibe coding is great if you never plan to ship anything real. Yes, the start feels magical. You describe. It builds. It runs. And then… you try to add a second feature. Soon chaos... → No tests → No structure → Fragile glue code → No system design → Impossible to debug → No big picture thinking → No logging, no monitoring → Prompts tangled deep in logic → Mix of conflicting best practices → Zero strategy for fixes or upgrades → Doesn’t play well with the rest of your systems It’s like a monkey copied StackOverflow answers, then taped it together with bubble gum and hope. AI gets you to 80% fast. But that last 20%? It’s a brutal, slow, painful climb. And most projects die right there. Speed is fun. But speed without engineering is just a mess in fast forward. If you want to build real products: → You still need engineers → You still need process → You still need to think Always use AI. Just don’t forget how to build real products!

Why I’m a CTO in SportsTech and why I think you should build or invest in this space: → The world is ageing. But lifespan isn’t the problem — healthspan is. VO2 max and muscle mass are the two strongest predictors of how well we age. And both come from training, not medicine. → AI is freeing up time. When people aren’t drowning in tasks, they move. They exercise, compete, recover, optimise. → Sport is sticky. It’s social. Habit-forming. Identity-building. It drives community and repeat engagement better than most apps ever will. → The tools are here. AI, Web3, wearables, coaching agents, smart recovery. The tech stack to build intelligent, personalised systems is finally mature. If you’re thinking about your next move consider sports related businesses. Not just because it’s the future of wellness. But because it's one of the few spaces that stays human in a world getting more automated by the day. ----------- 🔔 Follow Rob to learn more about AI Agents, Web3, and the future of SportsTech.

Challenge for e-commerce leaders: 👉 Think of one task in your store you hate doing. Uploading products? Translating content? Fixing SEO? Now imagine never doing that again. You don’t need to switch your whole business to AI overnight. Start with one category. One pain point. Run AI Agents in parallel. Measure cost, speed, accuracy. Then scale. Start small. Think big. Act fast. If you want to learn about AI Agents in e-commerce, DM ✉️!

AI Agents are no longer optional! Here’s the reality: In 1100 large US companies: → 10% already use AI Agents → 50% will adopt them this year → 82% plan to adopt within 3 years → By 2027, AI will do 40% of knowledge work AI Agents are not a future trend. It’s already reshaping e-commerce and other businesses. Brands that adopt early → cut costs → scale faster → serve local markets better The rest? They’ll be playing catch-up. Which one will you be? If you want to learn about AI Agents in e-commerce, DM ✉️!