A pragmatic look at the hidden costs, the small-batch myth, and why user trust matters more than deploy frequency.
I. Introduction
"CI/CD will save you money. It will make your team faster. It will eliminate bugs. It is the only way to build modern software."
We've all heard this.
The problem I was trying to solve
Candidates send hundreds of applications.
Companies receive thousands of resumes.
Most candidates never hear back.
Both sides exhausted. Most of the effort wasted.
The insight that changed my thinking: senior engineers don't apply to jobs. They get headhunted.
The problem that wouldn't leave me alone
A few months ago I was auditing a client's site and had five tabs open: Hotjar for heatmaps, Ahrefs for SEO, a spreadsheet for tracking fixes, ChatGPT for "why is this page not converting," and a half-finished Notion doc trying to tie it all together.
Some
I maintain a small collection of single-purpose web tools. Last month I built a favicon checker: you type a URL, it reads the icon declarations in the HTML head, probes every referenced file, and also hits /favicon.ico directly, because plenty of software still requests that path without ever readin
Ever since I have been tinkering with Proxmox, I noticed the huge amount of support it seems to get on Reddit subs and generally in the "homelab" cohort. But when you mention this to any sysadmin, they look at you with a smirk like you had just told them about your Lego side project or even outright
Now that we have a mental model of how Solana works, it’s time to actually use it.
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A familiar production failure looks like this: an AI support agent reads a ticket, decides the customer deserves compensation, calls the refund tool, and refunds the full annual subscription instead of the $12 add-on. The model did not crash. The API did not throw an exception. The tool worked exact
This GIF shows what happens if you slightly stretch the data texture storing the BVH and triangle data. Child nodes storing triangles got misaligned addresses first, while AABB nodes lose them later.
Your team decides to add an AI agent to your Laravel application. The initial plan seems straightforward: give the LLM access to your existing REST API, let it figure out the endpoints, and watch it automate customer support.
Then production happens.
The agent calls GET /api/users and pulls 14,0
The agent did not fail because the model was stupid.
It failed because a CRM tool returned a 502, the agent retried, created two support tickets, read a stale knowledge-base article, filled the context window with stack traces, and then told the customer everything was fine. When teams see this, th