Those of you still using cloud APIs — how do you optimize token costs?

<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

<!-- SC_OFF --><div class="md"><p>Been noticing that once you use LLMs for real dev work, the cost conversation gets messy fast. It is not just raw API spend. It is retries, long

<!-- SC_OFF --><div class="md"><p>been overseeing our AI agent deployment and the numbers are alarming. we have ~400 developers using AI coding agents (mixture of copilot and

<!-- SC_OFF --><div class="md"><p>After the last reset, I went from 100% to 0% within in a day and since then used about 30k in credits. My workflow is mostly Astra running Sol

<h2> Cursor and Windsurf are not AI coding tools. They're slot machines wrapped in a dark theme. Both exploits Claude Opus 4.7's broken tokenizer—which silently inflates your

<!-- SC_OFF --><div class="md"><p>I read this sub every day and I keep seeing benchmarks and discussions focused almost entirely on tokens/s generation speed. Prompt processing

<!-- SC_OFF --><div class="md"><p>A Meta employee built a leaderboard on the company intranet called &quot;Claudeonomics&quot; that ranks token usage across 85k employees. top 250

<!-- SC_OFF --><div class="md"><p>doing infrastructure evaluation for inference workloads and running into the same problem everywhere: every platform publishes p50 cold start