Workflow
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[In Practice] Workflow and Agent
I’ve just wrapped up a phase of work, so it’s a good time to write up some recent dev notes and the thinking behind them. Back in early April this year, I got an email from Richard, one of the maintainers of Hive. We traded views on AI agents. Here’s what I wrote back, translated from the Chinese original: Hi Richard, I apologize for the delayed response; your email was mistakenly filtered into my spam folder. First of all, I'm very pleased that you've noticed my development work. I will briefly share my perspective on AI agents and their applications, but this is strictly my personal view. If you have different thoughts or opinions, I welcome you to reply so we can discuss and exchange ideas. Regarding the currently popular AI agents, I actually haven't used similar types of agents, such as OpenClaw, at this stage. The reason is that for most of my current needs and habitual use cases, I can handle them by creating workflows myself through AI-coding. I currently don't require an agent to automate every task for me, perhaps simply because I haven't yet encountered a scenario where that specific need arises. I've observed that many users in the community don't clearly distinguish between the respective functions of workflows and AI agents, which is why we often see complaints about excessive token consumption. In reality, many requirements follow fixed process patterns. For these scenarios, it is highly suitable to organize them into workflows that are executed via crontab or event triggers. In this context, token usage is zero, and the stability of the process is significantly increased. I have been following the Hive project, but I haven't had a chance to dive into it yet, and I apologize if that is disappointing. I have looked at some of the project's content, and I believe if I have a future use case, I will prioritize adopting it. I will certainly reach out at that time to discuss and exchange thoughts with you on any functional matters. Thank you. BR, Tai And his reply
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[Dev] Why Every Developer Needs a Dedicated AI Skill Bundle
Lately, while tinkering with various AI development projects, I’ve constantly felt a bit stuck. Every time I needed to make an AI Agent smarter in a different environment, I found myself doing the same repetitive chores—digging through old repos for a skill I’d written before, and then tweaking it for the new project. To solve this pain point, I put together an open-source project: skills-bundle. To be honest, I believe that everyone using AI Coding nowadays should maintain their own skill bundle. The concept is just like how everyone has a personal toolbox at home, filled with the wrench and hammer you’re most comfortable using.
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Developing with Antigravity and Jules
Since the release of Antigravity, I have been using it to develop various projects of all sizes. Preface: I Also Want to Develop the Lazy Way Watching more and more developers in the community work day and night with Claude Code to achieve long-term, continuous AI Agent project development made me want to see how far I could go with Antigravity. As a big fan of Google products, I have high expectations for Antigravity!
