Right now, AI enthusiasts can’t stop talking about Clawdbot - a "digital agent" that supposedly manages your life 24/7, controlled with natural language. Sounds amazing. But here’s the reality: THE CLAWDBOT HYPE 🤖 Most "brand-new" launches are basically public beta tests. And "beta" is just a nicer word for: ✅ exciting ❌ unstable ❌ unclear limits ❌ unpredictable outcomes If something breaks, leaks, or messes up your setup… you deal with the consequences. WHEN YOU SHOULD TEST ON DAY 1 ✅ If you’re: - a creator - a news channel - a true power user (time + technical depth + patience) Then yes - testing early can make sense. Everyone else? You’re spending time for very little upside. WHY WAITING WINS 🧠 Give it a few weeks and you'll get: - clearer info on what it actually does - real use cases (not just demos) - fewer bugs and broken flows - honest reviews For most people, I see zero advantage in installing Clawdbot today (or this week).

This is a fascinating interview with the creator of ClawdBot. If you've ever heard of PSPDFKit, you've seen his work. It's fascinating to see how a developer who thinks differently is able to be hyper productive with AI coding tools. Check it out here: https://www.youtube.com/watch?v=8lF7HmQ_RgY

I'll go first: Claude Code. Why (my POV): - It feels like the most reliable coding partner when you use it correctly: clear task framing, tight scopes, and constraints. - I’m treating my dev work like a product: versioned releases on Git, plus a personal learning.md for decisions + "memory context". - I started this product as vibe coding, but now it’s turning into a production product - and Claude Code helps me keep structure while still shipping fast. Tradeoff / reality check: Even with good hygiene, I’m seeing 50K context usage out of a 200K window just for it to scan and understand files sometimes. Worth it for speed, but the context budget is real. My take: Claude Code wins when you don’t treat it like magic—you treat it like an engineer: - give it a mini-PRD, - curate context (learning.md, changelog, release notes), - force small, testable steps. Now your turn 👇Pick ONE tool and defend it. If nothing comes to your mind just pick from these: what's your bottleneck - context budget, accuracy, refactors, tests, or review quality?