Why Your LLM Pipeline Is Burning 60% of Its Token Budget on Noise (and How to Fi

<p>AI coding assistants are useful. They're also expensive if you're not paying attention. I was spending $120/month before I started tracking. Now I spend under $50 for the same

<p>GPT-5.4 shipped on March 5. Seven weeks later, on April 23, 2026, OpenAI released GPT-5.5 — and the pace alone tells you something about where this race is headed. This isn't

<p>Every token you send to an LLM costs money and eats into your context window. If you're stuffing structured data - JSON arrays, database records, API responses - into your

<p>I've been building AI-powered tools for the past year, and one thing kept bugging me: I was wasting money on tokens.</p> <p>Not because my prompts were bad — but because they

<h2> Introduction: The Wrong Question </h2> <p>GitHub's shift from premium requests to usage-based billing has triggered a wave of anxiety across engineering teams. The question

<p>You have 200,000 tokens to work with—but most people are still copy-pasting text like they're fighting a 4K limit that doesn't exist anymore.</p> <p>I watched a senior

<p>This post from Anthropic is causing a lot of angst among its most ardent users. While it is disguised as a credit, it really is them tightening API token limits (aka charging

<p>Most "multimodal" AI products today are really a relay team. One model plans, then hands the job to an image model, a video model, a detector, or a robot policy. Reka's new