A while ago, Alibaba released a coding agent called Qoder, and suddenly a research report claimed its market share surpassed Claude Code. I immediately smelled something fishy: this thing barely has any users, so how did it suddenly become “number one”?

DeepSeek recently officially raised its prices. As someone whose token usage was closing in on 100M tokens last quarter (see [My Token Usage Exploded 13× in Three Months]), I didn’t pay much attention at first — after all, DeepSeek was already very cheap, and even the raised price was still lower than the official price announced when V4 first launched. But I underestimated my usage: after a day of real-world testing at the new prices, it became clear that the cost is genuinely hard for an individual to bear. If I didn’t find a way around it, I’d be working just to pay for tokens.

When I handed my workspace over to Multica back in May, I was happily picturing how letting AI take on more of the work would mean fewer late nights for me. The work did get done — but my token bill went through the roof. The other day I pulled a three-month usage report for the workspace out of curiosity, and I had to double-check that I was reading it right: about 38M tokens in May, jumping to nearly 500M in July, with a three-month total of 883M. So here’s a data-driven look at how my token consumption exploded over those three months — and why. Because my AI tasks have gone from “trying it out” to “can’t live without it”.

After previously tinkering with putting Claude Science into a Docker container, I’ve been using it relatively intensively over the past two weeks (connected to DeepSeek, not the original Anthropic version, of course), so I want to talk about its advantages and limitations.

I recently worked on a small project: putting the Linux version of Claude Science into a Docker container, paired with an API Bridge so it can run through third-party API backends without needing to hold an Anthropic API Key directly.

The process was more eventful than expected—also quite interesting. Here’s a record of it.

Recently I submitted a PR to BananaSlice (#11), adding configurable Gemini-compatible API endpoint support. The whole process made me realize: AI Agents not only help people write code faster, but also change how we leverage open source software.

Recently, many token-selling providers have been raising prices in disguised ways. Just as everyone was getting used to “AI is getting more expensive,” DeepSeek did something absurd — they permanently cut the price of V4-Pro to a quarter of the original.

I recently switched to another batch of commonly used AI tools — some pleasantly surprising, some left me speechless. Here’s my honest record. Multica: Master of Cyber Livestock ManagementMultica’s...

A few days ago, DeepSeek officially released the V4 preview, and this version really attracted a lot of attention. Rumors had been circulating since before the Chinese New Year. Since I happened to be leaving my job at the time, I didn’t get to try it out immediately. Now that I have some time, I integrated it with Opencode and Multica and wrote this blog post to test it out.