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What used to be the summit of software work, taste and judgment, is becoming the new baseline as AI eats the bottom tiers. A look at the inversion and the identity cost that comes with it.
Once a week I sat down with pen and paper to work out how much budget I had left. Now a WhatsApp bot does it from my credit card SMSs. One rule made it work: numbers never come from the AI.
Building an AI agent for yourself is the easy part. The moment you want your whole team to use it, the ground falls out from under you.
Your AI coding agent did something wrong. Instead of blaming the model, debug what it actually saw. Here’s the feature that would make that instant.
My blog ran on someone else’s theme for five years. I finally stopped patching and rebuilt from the studs. Zero dependencies, LLMO-ready, accessibility-first, and the bee was the answer all …
Your AI bill tripled last quarter and your CTO is asking about open models. Here’s the real hardware, real costs, and whether it makes sense for a team of 10 or a company of 500.
The top 1% of companies spend $7,500/employee/month on AI. Token prices dropped 98% but bills tripled. 84% of CFOs see no ROI. The AI spending binge is over and the bill is arriving.
I built a scheduled AI agent that wakes up before I do, scrapes match results, collects detailed stats, predicts who will make the final, and posts a summary to my feed. Zero code. 15 minutes to set …
IFTTT shipped MCP support but only for Claude and ChatGPT. Here’s how I built a 500-line Node.js proxy to connect it to any stdio-based MCP client, and the two gotchas that made it interesting.
Last Friday, a government letter took Anthropic’s most advanced models offline worldwide. If your architecture doesn’t assume your AI provider will disappear, you’re running on …
