My paused project #1.
I tried to invite AI into real conversations. When users are talking, the AI reads the live context and autonomously surfaced what people actually needed at the exact moment.
What I learned:
1. AI understands context well, even in fast, multi person conversations in real time.
2. But delivering the right content at the right timing needs more calibration and engineering than I expected.
3. Some startups are already building this at the SaaS layer.
What happens when AI starts participating in the conversation itself?
Cornell engineers have developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes, and adapts to its environment without centralized control.
The system, called the Cross-Link Collective, consists of dozens of small robots that have limited mobility individually, but together exhibit coordinated and sustained motion. The research, published May 20 in Science Robotics, demonstrates a robotic system that resembles soft matter, continuously deforming and reorganizing as it moves, driven by what researchers call mechanical intelligence.
@CornellEng@CornellRsrch
Read more: news.cornell.edu/stories/2026/0…
@Fresno_Famous@Replit This is thoughtful and needed.
People are learning skills fast, coming from all kinds of backgrounds. Your app really caught that point.
I’m so happy to see someone opening new opportunities and creating jobs in this era.
@yabsssai That made a real shift in my perspective. I thought blocks were for building, so if I designed beautiful pieces, users would patiently build with them. But in reality, I realized immediate satisfaction matters more for engagement. In this case, it was in the crashing.
Here’s why you need real users, even while building.
I spent time adding lights, beautiful materials, and aesthetic patterns to this 3D block design tool.
Then I gave it to my son.
He immediately used it like this🤣
Turns out real users may love crashing things more than carefully building them.
#vibecoding#replit#3d
@Fresno_Famous Yes, it’s true. Children are real users, because they don’t have any filter when expressing what they think about apps. Sometimes it feels too honest😂But it’s really helpful.
18-minute breakdown of Claude + Higgsfield MCP.
Here's what the video walks through.
1. Research across TT, IG, YT
2. Production calendar by the agent
3. UGC, motion design, carousels
4. Approval gate before spend
5. Integrate Meta Ads MCP
Marketing agency in your laptop.
Have your agent read the whole app again just to fix one tiny bug? That’s when you realize vibe coding is also context management.
Claude taught me about context.md, and it changed how I work.
As projects grow, the agent must reread increasingly large amounts of code on every request, consuming tokens just to rebuild its understanding of the app structure before it can even start solving the problem.
That’s why small bugs sometimes feel expensive.
In vibe coding, keeping the context MD up to date and adding a brief summary of failed attempts can save both tokens and unnecessary rethinking.
Yes, I’ll try it while iterating on my unfinished projects. For me, in vibe coding, asking enough questions in plan mode before building worked well. But later during iteration, that wasn’t enough. So I’m going to try updating context in each project and reminding the agent of the progress along the way.
I learned that keeping context.md updated is important like "summarize what we did today and update context.md."
Also, giving a short summary in the prompt before continuing is helpful for keeping momentum and context aligned.
These days, many people are talking about context engineering. So I’m learning part of it not only for building but for better iteration too😀
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