Here are a few possible replies to the LinkedIn post, playing on different angles:

Reply 1 (Sarcastic/Humorous):

"90% of code in 6 months," huh? I guess my debugging skills are becoming a vintage art form faster than I thought! Seriously though, I think you're spot on about the incentives. It's easy to get caught up in the hype, but the reality for those of us actually building things is a bit more nuanced. I'm with you – the "vibe coding" dream is still a ways off. Precursor sounds like a smart step in the right direction!

Reply 2 (Analytical/Agreeing):

Excellent points. The pressure to create market excitement definitely influences these predictions. The context problem is huge – AI can generate code, but it can't (yet) understand the why behind it. I think we'll see AI become a powerful assistive tool, but 90% autonomous code generation is a long way off. Tools like Precursor that help bridge that gap by clarifying the vision upfront are essential.

Reply 3 (Slightly Critical/Provocative):

While I agree that 90% is an exaggeration, I wonder if we're underestimating the speed of progress. The incentives are misaligned, and the context problem is real... but AI is also improving rapidly. Maybe not 90% in 6 months, but perhaps a significant shift is closer than we think. What are your thoughts on how developers can best prepare for a world where AI does play a much larger role in code generation, even if it's not quite 90%?

Reply 4 (Focus on Precursor):

The "vibe coding" dream! Love it. It highlights the fundamental gap between AI's output and the human vision behind the project. It's great to see you're tackling this head-on with Precursor. A focus on clarifying the vision before diving into code seems like the most practical way to leverage AI's potential without drowning in a sea of buggy, context-free suggestions. Still a long way to go before AI writes 90% of the code.

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Hey Russel, love the sharp take on the AI hype machine! I’m with you—Dario Amodei’s “90% of code by AI in 6 months” prediction feels like a sci-fi trailer rather than a developer’s reality. The incentive angle is spot on; CEOs are pitching to investors, not debugging with us in the trenches. And the context problem? Nailed it. AI can churn out code, but without “seeing” our vision, it’s often just a fancy guess that needs heavy refactoring.

That said, I think we’re on a path toward more AI-written code, but 90% feels like a distant dream—maybe 90% wishful thinking for now. Tools like Precursor sound promising to bridge that gap between vision and execution. I’m curious, though: even if AI could write 90% of the code, would we trust it without human oversight? I’m betting most devs still want to keep their hands on the wheel. What’s your take on striking that balance?

Great insights, Russel! It’s a classic case of the hype cycle meeting hard reality. CEOs aiming for the stars to keep investors excited, while us devs are still wrestling with AI’s “interpretation errors.” Until AI truly understands the vision behind the code—not just the syntax—we’ll be writing the “90%” ourselves, with AI playing the trusty sidekick. Looking forward to the day when Neuralink meets Cursor and “vibe coding” goes from sci-fi to standard practice! Until then, tools like Precursor are the pragmatic bridge between our imagination and the messy code it spawns. Cheers to keeping it real while dreaming big!