Or: how we learned that “eventually” isn’t good enough when you’re bleeding file descriptors Or: how we learned that “eventually” isn’t good enough when you’re bleeding file descriptors Deterministic cleanup means knowing exactly when resources are freed — the difference between memory chaos and predictable system behavior in production environments. So our video transcoding service was… how d
SMS remains one of the most reliable communication channels available today, with open rates exceeding 90%. Whether you are building an OTP SMS API for authentication, setting up transactional alerts, or automating marketing workflows, a robust SMS API integration is a powerful addition to any stack. In this tutorial, we will explore how a REST SMS API works and walk through a practical implementa
If this is useful, a ❤️ helps others find it. I run both in production. Here's the real comparison — not theoretical, from actual use building developer tools. Local LLM (Ollama) Gemini API (Free) Cost $0 forever $0 (free tier) Privacy 100% local Data sent to Google Setup Install Ollama + pull model Get API key (2 min) Quality Good (7B), Great (70B) Excellent Speed Fast if model lo
Nos últimos meses me afundei no universo cyberpunk. Li Neuromancer. Ainda estou no meio de Count Zero. Zerei Cyberpunk 2077. Revi Akira, Ghost in the Shell e Cyberpunk Edgerunners. Tem algo nessa estética (neon, interfaces cruas, informação como matéria-prima) que não sai da cabeça. Foi nesse estado que me deparei com um vídeo no Instagram de uma garota mostrando uma aplicação que convertia a câme
The fact that we're slowly removing the apprenticeship layer and passing it off as "productivity gains" should be far more alarming. Just imagine. The kind of work that is best suited for AI, such as boilerplate code, simple CRUD endpoints, and basic component wiring, is actually similar to the work that helps in training junior developers. It was not that we were working on those tasks because th
A LinkedIn recruiter pitched me a remote "Software Engineer at a DEX" project this week. Reasonable comp range, tech stack squarely in my wheelhouse. After a couple of friendly exchanges, she asked me to "review the codebase before the technical interview" and sent me a GitHub repo link plus a Calendly invite for the call. The repo was malware. It didn't get me, but it's something developers shoul
A College Project That Planted a Seed Years ago I was on a university team trying to build a Go AI. We explored monte carlo simulation for lookahead search, basic neural networks for pattern recognition, and expert systems for encoding domain knowledge. None of them worked well enough on their own. Go's branching factor is enormous, so brute-force search fails quickly. Neural networks without th
Why this list is different The "best" email API depends entirely on what you're building. A side project optimizing for the free tier needs different things than a Series B SaaS sending two million transactional emails a month. This post grades eight providers against the criteria that actually move the needle in production, and tells you which one to pick for which use case. Most roundups in th