This is neither another breathless “AI will replace all developers” hype piece nor a dismissive “AI is useless” rant. It is a ground-level account of building UBAN (Github), an open-source C security tool designed to outperform Fail2ban, and what that experience taught me about coding in the AI era.
Summary: This article covers the technical architecture, implementation, and field testing of UBAN (Github)—a lightweight, open-source Linux security agent built in C to outperform Fail2ban. If you haven't already, it is recommended that you read the short layperson-friendly feature list first before diving into the long and deep technical details below.
Security tools don't need to be complicated or resource-hungry to be effective. UBAN (Universal Ban Daemon, Github) is a lightweight, open-source Linux security tool inspired by Fail2ban. It monitors application logs for suspicious activity, automatically blocks offending IP addresses through the system firewall, and increases ban durations for repeat offenders.
Maintaining a home often feels like being a detective where the crime scene keeps resetting. Recently, I found myself staring at a mysterious white powder appearing along my baseboard. It's in a colder room facing an exterior wall. I’d wipe it off, and like clockwork, it would return.
The AI landscape in 2026 has moved beyond simple prompts. We are now seeing a clear divide between models that excel at conversation and creativity and those built for practical building and engineering. For developers and creators, choosing the wrong tool can easily waste hours—or even days—of effort.
I’ll admit it: I’m late to the party. While some have been living in the AI world for years, I only started a few months ago. I began with ChatGPT, but lately, I’ve found myself almost exclusively using the free tier of Gemini.
I have used AI for a lot more than just web development; we’ve discussed a vast range of topics including nutritional science, DIY projects, and the ethics of technology. After a few months of these wide-ranging discussions, I’ve realized that while AI is a powerhouse for data, it hits a very specific wall when it comes to the way humans actually think. Here are the 6 pillars of what AI can and cannot do well.
摘要: 如果你正在问这个问题，而你的第一反应是恐惧或不作为，那么是的，你将会被取代。另外，本文是英文版翻译稍作修改生成，欢迎阅读英文原版。
为什么你提出的问题本身就预示了你的命运
未来十年最成功的职场人士，不是在问“AI会不会取代我？” 他们在问的是：“我如何利用AI取代我的两个最慢的竞争者？”
TLDR: If you are asking this question, and your current response is fear or inaction, then yes, you will be replaced.
Why the Question Itself Signals Your Fate
The most successful workers in the coming decade are not asking "Will AI replace me?" They are asking: "How do I use AI to replace two of my slowest competitors?"