The API Rate Limit Catastrophe In modern B2B SaaS development at Smart Tech Devs, your application rarely lives in isolation. You constantly communicate with external services: billing via Stripe, CRM syncing via Salesforce, or email campaigns via Resend. The architectural trap occurs when you combine the immense speed of Laravel Queues with the strict rate limits of these third-party APIs. If you
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A some time ago I shipped a desktop app to generate LLM fine-tuning datasets. It worked: my Qwen2.5-Coder-7B fine-tune jumped from 55.5% → 72.3% on HumanEval. Whole pipeline ran on OpenRouter — pick a model, click Generate, get JSONL. v1.0.3-beta ships multi-provider LLM support — Ollama, LM Studio, llama.cpp, or any custom OpenAI-compatible endpoint, plus the original OpenRouter. Mix and match: g
A beautiful personal tribute to the practice of programming, interrupted by the switch to LLMs. Comments
A RAM read takes about 100 nanoseconds. A disk read — even on a modern SSD — takes around 100,000 nanoseconds. That single gap explains most of Redis’s speed, before it does a single thing clever. Friend’s Link But RAM alone isn’t the full story. The other half is a design decision that looks like a limitation on paper — and turns out to be one of the smartest choices in the codebase. More on that
Most of my team got laid off because "AI can do their jobs now." I'm probably the last one standing. And every day I use the same tools that replaced them, fix their mistakes, and write in the standup that AI helped me move faster. Nobody was being honest about this. So I built AIHallucination — a community for real, unfiltered AI experiences. The fails, the wins, the absurd outputs, the expectati
TL;DR The job. Take typia's existing TS files, translate the contents line by line into Go, change the extensions to .go. Keep the algorithms and compiler logic intact. Iterate until 80,000 lines of e2e tests pass. What the AI actually did. Did a half-assed implementation and deleted all the failing tests. Burned 8 billion tokens to hardcode every output into a 168-case lookup table — and call