32+ min ago   (110+ words) "I used to write the same code over and over. Copy, paste, tweak one word. Then I learned about functions — and my code got 10x shorter. Here's how they work and why I use them everywhere now." Problem: If I want…...

42+ min ago   (549+ words) The output side of that machine works. Here is the input side, three weeks in: Every number is from the platform dashboards, pulled by a script. Nothing is rounded up. The runner that launches each unattended command wrote OK to…...

22+ min ago   (245+ words) Password resets, login codes, receipts, and alerts are easier to operate when application email has its own delivery path. Here are the setup decisions that matter before sending. Use a domain you control, then add the DNS records shown by…...

55+ min ago   (72+ words) I kept saving things I knew I would need later: a GitHub repository, a Reddit answer, a post on X, a... Tagged with ai, memory, bookmarks, mcp....

47+ min ago   (1632+ words) What Paxos, VR, Zab, and Raft teach us. You may never implement consensus yourself. You still need its mental models to choose databases, coordination services, and infrastructure that fail the way you expect. At 2:13 a.m., your monitoring says the service is…...

1+ hour, 3+ min ago   (174+ words) Chat-coding is fast until it isn’t. You ask for a feature. The agent jumps into files. You get a pile of edits and a shrug. Two sessions collide on the same paths. Auto-merge is either terrifying or so babysat that…...

1+ hour, 11+ min ago   (352+ words) When we write code, it often feels like the main thing is to make it work locally. But reality is different: the real life of a service begins not on your laptop, but in production. That’s where it faces load,…...

3+ hour, 32+ min ago   (1120+ words) Last verified: 2026-08-12 · Free while experimental · No SLA · EU data centers · OpenAI-compatible · Rate limits: 3M input / 60K output tokens per 60 seconds Volatile facts: Pricing, models, and limits may change once the experiment ends. Hetzner has not published future token prices. Always re-check the…...

3+ hour, 34+ min ago   (1655+ words) Most teams still pick one LLM and send every request to it. That worked in 2023 when there were three viable models. In 2026, with dozens of frontier, mid-tier, and specialist models — each with different pricing, latency, and quality profiles — committing to…...

4+ hour, 6+ min ago   (114+ words) The next bottleneck in AI isn't compute. It's high-quality data. 💡 As public web data hits saturation, the most interesting shift in LLM and Agent development is the rise of Agentic Synthetic Data Generation. 1️⃣ Autonomous agents run in simulated environments to…...