Guides, tutorials, and insights on AI coding tools and API providers.
I just spent three weeks migrating our startup's backend from a Frankenstein mix of domestic LLM SDKs to a unified proxy setup, and I'm still questioning my lif
Last Tuesday at 3 AM, I was staring at my AWS bill with that sinking feeling you get when numbers don't add up. My OpenAI API costs had hit $2,847 for the month
TIL that 70% of our GPU costs were going to models nobody had heard of, and our infrastructure team was about to stage a mutiny. Fair warning: this is a war sto
I'm going to say something that'll make the AI coding tool evangelists mad: they all generate decent code, and that's not the point. The real differentiator — t
TL;DR: Anthropic's Claude Code ditches the 200-line system prompts we've all been writing. Instead, it uses a minimalist approach that prioritises curiosity ove
Meta Description: I deployed LLM function calling to production and immediately regretted it. Here's everything I learned about validation, performance, and pre
TL;DR: Swapping static for dynamic chunking boosted our legal-tech RAG system’s recall by 23%. Sounds like a quick config change, right? It wasn't. It took two
Last month, I stared at my Stripe dashboard and felt physically ill. 12 refund requests in 48 hours. All traced back to the same catastrophic bug—my AI chatbot
TL;DR: Built a custom MCP connector that slashed my debugging time by 73% and reduced churn by 0.7%. Also learnt that connection pooling isn't optional, Claude
Last quarter, our agents started forgetting things after three interactions. Not "oops, lost my train of thought" forgetting—proper amnesia. Task completion rat
Last month, I almost killed my own product. My AWS bill hit $4,200—for a SaaS doing $8,100 MRR. I was literally paying users to use my app. The math was so bad
TL;DR: Portkey added just 30ms overhead. OpenRouter's health checks nearly cost me 14,000 failed requests. Together AI's throughput swings made capacity plannin