Today I came across an article from Qubit reporting that Anthropic just released Claude Managed Agents and already got an “open-source alternative” — this project is called Multica. I started using this project last week, so I did some digging.

Lately I’ve been deeply conflicted in my device selection, and after considering many devices, I have some thoughts I need to get off my chest.

Opencode has significantly improved my efficiency in development and bug fixing. However, in real work, I often need to maintain multiple projects simultaneously or handle development across several different directions. This means one person needs to manage and work on multiple branches at once. In such cases, manually switching branches, launching Opencode, confirming changes, testing, merging, and testing again can be quite tedious…

That’s why I’ve been looking for a task board tool where I can assign and track tasks through issues, letting Agents handle initial work while I focus on testing and reviewing code. Today I’m introducing Multica (https://multica.ai/), an open-source AI-native task management platform that aims to turn coding agents into real team members. Simply put, it allows you to collaborate with AI Agents the same way you would collaborate with human engineers.

Recently, I spent several days deeply experiencing multiple AI Agent products, from WorkBoddy, OpenClaw, LobeHub, DeerFlow2, LirbeChat, DingTalk Wukong to OpenCode, trying almost every tool I could find. Everyone has different needs, but my main focus is on open source and self‑deployable, feature completeness, and practical usability. Below is my personal comparison from a practical usage perspective.

Looking back, I learned to use FrontPage to create web pages since elementary school, but except for GitHub Pages, I never really set up and operated my own website. However, now it’s possible. With the support of agents and SaaS services, creating and launching a website has become quite simple…

I’ve been trying to use AI Agents / workflows to build efficient agent teams or AI workflows to improve productivity. After two weeks of experimentation, I’ve encountered several pitfalls…

With the global hype around OpenClaw, I’ve once again pondered a bit: is the current agent frenzy really because AGI has arrived? I naturally don’t think so.

Last year, I explored AI topics purely out of personal interest. This time, it’s under pressure from my boss… Even though I’m full of resentment, I still need to write something down to accumulate experience…

git worktree is a powerful feature provided by Git that allows you to check out multiple branches in the same repository simultaneously. Like cherry-pick, I hadn’t heard of this feature before, but in today’s era of extensive AI Agent applications, this feature will likely become as fundamental and essential as commit.

The Lunar New Year holiday is supposed to be a time for lying back, watching videos, and playing games. However, as a dedicated workhorse programmer, how could I possibly let myself stay idle? So, during the break, I tinkered with opencode + MiniMax/Deepseek and came up with a few little things (definitely not because I got utterly wrecked in Street Fighter on New Year’s Eve and needed a distraction).