Has anyone else gotten crushed by API costs because of agent context bloat?

<!-- 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

<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>Ok I run a a few SaaS platforms and My GPT Mini 40 (or whatever its called) ran over and the cap was set at a certain limit.</p> <p>Well the Ai

<!-- 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>I keep running into the same annoying gap.</p> <p>An AI workflow looks solid in the first run. The happy path works. Logs are clean enough that

<!-- SC_OFF --><div class="md"><p>When chat gpt was first becoming popular I remember I tried it and could use it for like, days, and no limit was ever hit. I tried again recently

<!-- SC_OFF --><div class="md"><p>Every time one of our agents made a bad call in production, we had the same problem. Logs showed what happened. Nothing showed why it decided to

<!-- SC_OFF --><div class="md"><p>Cursor dropped their new product yesterday and its not a code editor anymore. its an agent orchestration console that happens to have an editor