this post was submitted on 23 Jun 2026
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Hey everyone,

I wanted to run high-fidelity network canaries in my homelab, but I couldn't justify enterprise pricing, and I wasn't a fan of managing custom orchestration across all my VMs to make available oss solutions work.

So, I built HoneyWire. It’s a completely free, open-source distributed deception platform.

It uses a point-in-time CLI wizard to deploy hardened, distroless Docker traps. You run the command once, it spins up the decoy, registers it to your centralized Hub dashboard, and the setup agent completely exits. No persistent background daemons.

Features:

Zero-Agent: No ongoing background overhead on your hosts.

Centralized UI: View fleet health, uptime, and lateral movement alerts in dark mode.

Alerting: Built-in push notifications and SIEM forwarding.

Privacy: 100% free, open-source, and strictly zero telemetry.

GitHub Repo: https://github.com/andreicscs/HoneyWire Landing Page: https://honeywire.dev/

Would love to hear your thoughts on the architecture or any feedback if you test it out!

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[–] irmadlad@lemmy.world 10 points 4 days ago (1 children)

That's very interesting. Thanks.

Now for the burning question on everyone's mind.....was this vibe coded, or AI assisted in any way? I don't outright reject AI assisted projects, but of course my concerns are always security. Also, what is the depth of your experience coding?

Thanks

[–] andreicscs@lemmy.world 18 points 4 days ago

No issue that's a completely fair question, yes AI was used as an accelerator for writing boilerplate code, scaffolding the initial UI layout, and helping me structure the documentation. However, the core security logic, container architecture, and threat model were entirely designed and verified by me. I have about 8-9 years of software development experience. While HoneyWire is my first major public release, it’s the culmination of years of building internal tools, network utilities, and lab environments.

Because security is the primary focus, I deliberately designed the architecture to minimize risks. I highly encourage you to review the source code on GitHub, I'd be happy to receive feedback about the architecture or any threat-modeling critiques!