A single torch.cuda.synchronize() in the wrong place can erase every optimization you spent weeks building. Your GPU sits idle, your pipeline stalls, and your inference latency doubles. In vLLM's distributed serving stack, tensors move between GPUs constantly: billions of parameters shuffled during weight updates, and key-value cache blocks shipped between nodes during live inferen...
Existe una preocupación constante en el corazón de los líderes tecnológicos: la incertidumbre de si su infraestructura está realmente "bien hecha". Si bien es peligrosamente sencillo desplegar servicios en Amazon Web Services (AWS) con un par de clics, la verdadera ingeniería reside en garantizar que esos sistemas sean resilientes, seguros y ...
I've been building with Claude Code for months. It's genuinely impressive — until your codebase gets big enough that the agent starts drowning in its own context.
The 1M token context window sounds huge. But feed it a real project — a few hundred files, import chains six layers deep, config scattered across yaml and env files — and you start hitting walls. Responses slow down. Quality d...
Large file uploads can be frustrating for users. Problems like slow internet or a lost connection make it even worse.
Imagine uploading a 2GB video, reaching almost the end, and then the upload fails. You have to start again from the beginning. This is why pause and resume upload features are very important for a good user experience.
For a deeper understanding of the challe...
Part of The Coercion Saga — making AI write quality code.
Backend tests pass. Frontend tests pass. The contract is validated. Production breaks.
The API works. The components work. Types match. But the login flow? The cookie doesn't persist. CORS blocks the request. The redir...