Hidden Costs in Token Usage

<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

<p>Teams running LLM applications in production face a cost problem that traditional APM tools were never designed to solve. CPU and memory costs are relatively predictable — a

<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>Anthropic shipped Opus 4.7 on April 16, 2026. Same $5/$25 pricing as 4.6. Same 1M context. Same 128K output ceiling. Different model entirely when you put it in an agentic

<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>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>Quick question: how many of the subagents you've defined in <code>~/.claude/agents/</code> have actually been called this month? I couldn't have told you — until I started

<p>If you read my earlier post on the <a href="https://dev.to/pponali/how-i-cut-claude-code-token-consumption-by-96-with-the-skill-vault-pattern-9d1">Skill Vault pattern</a>, you