Token Waste in Claude Code: A User's Self-Audit Shows Behavioral Fixes Beat Model Switching

A Reddit user spent a week measuring where their Claude Code tokens actually went, rather than just complaining about the May price changes. Their conclusion: most burn was self-inflicted, and behavioral changes bought back more headroom than switching models would have.
Biggest Wins
/clearbetween unrelated tasks — a stale 200k-token context riding along for a one-line fix was the single most expensive habit.- Make it plan before it touches files. One planning pass, then execute — cheaper and better than explore-edit-explore in a loop.
- Stop letting it re-read files it just touched. If it just edited a file, it does not need to reopen it to "verify." Say so once in your rules.
- Search with a subagent, not the main thread. Grep-and-read across a repo dumps the whole haystack into your main context permanently. A subagent returns just the answer.
- Kill always-on and
-ploops you are not watching. Background agents burning tokens while you sleep are most of the horror-story bills.
None of these fixes required a new subscription, a wrapper, or an MCP server. It was discipline the user admits being too lazy to apply while limits felt infinite.
The post acknowledges that none of this fixes the actual price hikes — it just stops you burning extra on top of them.
📖 Read the full source: r/ClaudeAI
👀 See Also

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After 18 months of real-world use, one developer shares four disciplines to keep CLAUDE.md under 100 lines: use it as an index, separate rules from sources, audit on every PR, and delete more than you add.

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Anthropic's undocumented OAuth rate limit pool requires Claude Code system prompt
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