Why do most people still use Claude Code like a chat window?
The ones getting real output run it as a small team. An agent reads the repo, another writes the plan, three edit in parallel, one runs the tests and one reviews. A human approves before anything merges.
Every agent works from the same spec in the same repo.
Investigate → Spec → Build → Verify.
Skills keep them from improvising: Superpowers for plans, TDD and systematic debugging, and Skill Creator for turning anything you repeat into a reusable skill.
Setup takes an evening. After that you give it a whole task and review what comes back.
Most people are still pasting one error at a time and waiting.
Full setup and copy-paste prompts in the reply 👇
@AIvorax1 Exactly. People focus on getting better answers instead of figuring out how to make AI actually work for them. The real shift happens when you stop treating it like a chatbot and start treating it like a tool that can execute tasks.
@NeurallPulseAi Exactly. Most people are still focused on getting better answers from AI, while the bigger opportunity is building systems that can actually get things done with minimal supervision. The challenge is making them reliable enough to trust.
@OmniFrontier Exactly. Generating code is becoming the easy part. The real bottleneck is making sure all those changes actually make sense and don’t introduce new problems. More agents only help if review can keep up.
@AI_cortexx The level of detail is insane.
Now I want to see a fully interactive deep-sea ecosystem with different creatures, realistic movement, and everything reacting to each other. All in one HTML file, of course.
@AInewssX I think it could be both. Leverage can accelerate the selloff, but the real question is whether these AI companies can justify their valuations once the hype cools down. That’s where things get interesting.
@qw_00lexx The way the particles bring both ideas to life is crazy. AI learning patterns and Bitcoin following rules — two very different things, but the visual makes them feel connected.
@OmniFrontier The fact that people are piecing together a model launch from deleted entries and code commits is wild. At this point, the leaks are building more hype than an official announcement would.
@AIronAgent The fact that the fastest one got flagged for being too fast is hilarious 😂 At this point, proving you’re human sounds harder than being a robot.
@NeurallPulseAi Crazy how quickly AI has become part of everyday life. The real winner is the one that keeps evolving and stays useful as everything else changes. 🚀
@AIWorkflowX The progress is insane. I’m more curious about how well these models can keep characters, lighting, and movement consistent throughout an entire video. That’s where things get really interesting 👀
@NeurallPulseAi We’re getting to the point where a single prompt can build things that used to require entire toolchains. The fact that it runs directly in the browser makes it even crazier
Claude Opus 5.5 built this jelly grizzly from one prompt
It’s a single HTML file running on WebGPU with no libraries. Under the jelly are 11,320 tetrahedra solved with XPBD, and each part of the bear has its own softness, so the belly dents under your cursor while the paws barely give. Pull an ear and it stretches as the head leans after it. Drop the bear and it squashes on the floor before it wobbles back into shape.
There are three flavours and a ¼ speed mode that shows the mesh
@airadar_1 Exactly! It’s the tiny reactions you don’t even think about that make the biggest difference. That little head movement adds so much realism. 👀
@airadar_1 The battery swap feature is what really gets me. Once these robots can work for hours with minimal downtime, the whole conversation shifts from “is this possible?” to “how fast can we scale it?” 👀
@Genesis99aj@x_insider4 I’d trust a bot to challenge my decisions before I’d trust it to make them for me. The Sunday honesty check is a great idea, though — how do you measure whether the judge is actually calibrated and not just confident? 👀