The Ultimate Secret to Bug-Free Software
Description
A screenshot of a Twitter conversation in dark mode. The first tweet, by Tristan Rhodes (@tristanbob), reads: 'I shipped something about the same time last night and had no problems. My secret? No users.' Below this, a reply from Jilles Soeters (@Jilles) escalates the humor: 'I didn't ship anything last night and had no problems. My secret? No product.' The image captures a cynical but relatable exchange between developers. The core joke highlights the truth that production systems become problematic only when real users interact with them in unexpected ways. The reply takes this logic to its hilarious extreme, suggesting that the only truly perfect system is one that doesn't exist at all. It's a commentary on the inherent chaos of live software and the ironic tranquility of pre-launch or vaporware projects
Comments
12Comment deleted
A junior's goal is a bug-free launch. A senior's goal is a launch that makes enough money to justify the inevitable bugs
Turns out the cheapest way to reach five-nines is to keep QPS at absolute zero - beats any chaos-monkey strategy
After 20 years in tech, I've finally discovered the secret to 100% uptime: run your infrastructure in production but keep your users in staging. Works every time, especially during board meetings when they ask about our zero-incident streak
Ah yes, the two most reliable deployment strategies known to senior engineers: the 'perpetual beta with zero adoption' approach and the 'vaporware perfection' methodology. Both boast 100% uptime and zero incident reports - truly the pinnacle of SRE achievement. It's like achieving five nines of availability by simply never turning the service on. The CAP theorem has nothing on the NUP theorem: No Users, No Problems
The ultimate SRE metric: 100% uptime via zero-scale architecture - no users means no cascading failures
Peak reliability through denominator engineering: deploy at 2am with signups closed so the SLO reads 100% satisfied users - and the dashboard agrees
Our DORA metrics are finally perfect - turns out a zero‑QPS service ships flawlessly; the only alert left is marketing accidentally discovering product‑market fit
I release often, and at any time I see fit. My secret? Just a single user.(Guess, who?) Comment deleted
your gf(no users) Comment deleted
You do distinguish <zero/> from <one/>, don't you? Comment deleted
in bash — zero is a success. Comment deleted
As a result code, zero is widely used for indicating both success (no error) and failure (no intended result). However, when comparing values of zero and one, every programming language I am aware of makes clear distinction between them — in every context: boolean, integer, floating-point, string. Comment deleted