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.
The following is the help file of uban V1.0, uban.help. 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.
The following is the default configuration file of uban v1.0, uban.conf. 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.
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.