Articles tagged with "Backend"

Showing 2 articles with this tag.

Alright, fellow developers, buckle up! You know that feeling when you’re wrestling with a particularly stubborn API, wishing you could just tell your AI assistant to “figure it out” and it actually would? Well, OpenAI has been quietly cooking up something that’s bringing us a massive leap closer to that dream: the adoption of “skills” in both ChatGPT and the trusty Codex CLI. This isn’t just another incremental update; it’s a paradigm shift that’s going to redefine how we interact with and extend large language models (LLMs). We’re moving beyond mere prompt engineering into a world where our AI can leverage external tools, make decisions, and execute multi-step plans. And honestly, as someone who’s spent countless hours trying to get AI to play nice with my backend services, this feels like a genuine game-changer. It’s like giving your incredibly smart but previously isolated friend a Swiss Army knife and a map – suddenly, they can do so much more!

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With 12+ years specializing in database systems and backend engineering, when I built my first production API in 2014, I didn’t implement rate limiting. Within two weeks, a poorly written client script made 47 million requests in a single day, crashing our database and costing us $8,000 in emergency infrastructure scaling. I learned about rate limiting the hard way. After spending a decade designing and implementing APIs for startups and enterprises, including systems serving 2 billion+ requests daily, I’ve developed a deep understanding of why and how rate limiting protects both API providers and consumers. This comprehensive guide explains rate limiting mechanisms, implementation strategies, and best practices from real-world experience.

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