Hi I am a Full Stack AI developer developer focused on Next.js, AI-powered products, and scalable architectures. Passionate about new tech, real-time systems, and shipping meaningful software.
This is a solid, focused piece of engineering. I really respect that you built it from a real incident instead of as a “resume-driven” security project — that shows product thinking, not just coding.
What I like most:
You clearly optimized for the right constraints: low RAM, low noise, low latency.
The in-memory baseline + atomic writes + thread safety decisions show strong systems fundamentals.
I appreciate that you explicitly state when not to use it — that’s mature engineering judgment.
From my experience building performance-sensitive backend systems and security-aware apps, one thing I’d love to see next is:
A small threat model section (what attacks it does / doesn’t detect).
Maybe a pluggable alert interface (webhooks / Slack) with async handling to avoid blocking the watcher loop.
Optional integrity verification for the baseline itself (e.g., signing it).
Overall, this feels like a practical DevSecOps tool built by someone who understands operational pain. Lean, intentional, and readable — that’s rare.
Passionate about cybersecurity and innovative solutions, I design custom tools to automate security testing, develop practical security tools, and strengthen digital protection.
This is a solid, focused piece of engineering. I really respect that you built it from a real incident instead of as a “resume-driven” security project — that shows product thinking, not just coding.
What I like most:
From my experience building performance-sensitive backend systems and security-aware apps, one thing I’d love to see next is:
Overall, this feels like a practical DevSecOps tool built by someone who understands operational pain. Lean, intentional, and readable — that’s rare.
thank you so much , i'm so glad . Your point of view is right