If the Apple EarPods could be redesigned with a magnetic connector, it would be perfect.
Moments
Everyday thoughts, discoveries, and passing notes, kept in their unpolished flow.
April 2026
I ordered a Hazzys short-sleeve shirt and a pair of trousers on Douyin. After receiving them and trying them on, they fit very well.
I’ve bought this brand before—aside from the relatively high price, I’ve been quite satisfied with it overall.
You don’t need many clothes; one or two sets of formal wear are enough.
Threads has a great product feel—clean and minimal. It looks simple, yet feels very comfortable to use. It’s exactly the kind of style I like.
Its interaction design is also highly worth studying and learning from.
“MacBook Pro 16-inch in Space Gray, powered by the M2 Max chip (12-core CPU + 38-core GPU), with 96GB RAM and 8TB storage. US version, minor cosmetic wear, battery health at 100% with only 6 cycles, AppleCare+ valid until July 2026. Price: ¥21,588.”
Given the configuration and the price, it feels like a very solid deal.
My current primary machine is a 2023 Mac mini with 32GB RAM and 1TB storage. It was sufficient at first, but with the increasing use of AI-assisted development tools, memory has gradually become a bottleneck.
I also have a MacBook Air (24GB + 1TB), mainly for mobile work, though in reality it doesn’t get used that often.
So the situation now is: I have multiple machines, but none that truly serve as a high-performance, all-in-one solution. Taking everything into account, I decided to upgrade to a machine with significantly higher memory that can also handle mobile scenarios effectively.
I reached out to Yige (a fairly reliable second-hand electronics seller), and once they confirmed availability, I placed the order right away. After the new machine arrives, I plan to sell my current two devices back to her to offset part of the cost.
Most AI coding tools now support multi-agent workflows, meaning you can build different features in parallel. But in practice—even on small personal projects—I haven’t found this approach particularly helpful. The codebase grows rapidly, and beyond potential conflicts, the biggest downside is that it just feels exhausting.
With a more traditional way of coding, moving from thinking to implementation, it’s much easier to get into a flow state. Ironically, actually writing code is what helps me relax.
For a simple feature, the real challenge is making it intuitive and well-designed. That’s where meaningful collaboration with AI should happen. Your thinking process needs to work alongside AI to produce code that’s actually useful and sustainable over time.
Back in August 2025, after getting the Feiniu × Beelink co-branded NAS, I gradually picked up two ZhiTai 7100 4TB SSDs. They felt pretty expensive at the time, but I went for them anyway for the silent setup.
The experience has been great so far—no issues at all.
What I didn’t expect is how much prices have gone up now. They’ve gotten so expensive that I can’t afford them anymore. The AI boom hasn’t just soaked up capital—it’s also driven up the cost of memory and hardware across the board.
It’s kind of crazy. This level of hype and price inflation feels similar to what we saw during the real estate boom.
Yesterday (Saturday), we visited Zhaixing Tower in Dengfeng and Dashiong Mountain for the first time.
The weather was great—comfortable temperatures, lush greenery on the mountain, and a nice, cool breeze.
It wasn’t crowded at all, and the environment was really pleasant. It’s perfect for a family outing or just a relaxing hike.
It may not be very well-known—kind of a hidden gem—but the scenery is beautiful, with lots of trees and fresh air. I really liked it.
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When building a product, don’t fall into the trap of complex solutions at the beginning, even if you are a very experienced developer.
The first thing to consider is your ability to acquire and serve 0–100 and 0–1000 users. The technical solution should be as simple as possible, so that it helps with fast release, fast validation, and quickly moving into the development of core features.
AI capabilities have made the development of many advanced features extremely easy, but do you really need them? Do users really care? If you cannot make good insights and judgments, AI will instead trap you in meaningless consumption, such as time and tokens.