How to Reduce Token Usage in Windsurf

Windsurf’s credit meter has a way of running out faster than you’d expect for the amount of actual work you did, and the usual culprit isn’t any single expensive request — it’s a handful of small habits stacking up across a session: too many open tabs, one long thread covering three different problems, the frontier model handling a change that didn’t need it.

1. Know the difference between Memories and Rules, and use the right one

Cascade auto-generates Memories during a conversation and stores them locally per workspace, in ~/.codeium/windsurf/memories/. They’re useful, but they’re workspace-bound — a memory from one project doesn’t help in another, and it’s not shared with your team. If you want something durable and shared, that’s a Rule instead, defined at the global, workspace, or system level, or inferred from an AGENTS.md file. Windsurf’s own Cascade Memories docs lay out exactly how the two differ.

Same principle as a scoped CLAUDE.md in Claude Code or a Rules file in Cursor: whatever’s persistent and always-loaded should earn that place, not accumulate by default.

2. Close the tabs you’re not using

Open files contribute to Cascade’s context window whether you’re actively working in them or not. Ten or fifteen open tabs is real, silent context on every request — closing what you’re not using in the current task is free and immediate.

3. Select the block, not the file

Selecting an entire file and asking Windsurf to fix something sends every line as input tokens, whether or not it’s relevant to the fix. Highlighting just the function or block in question is a large, consistent difference in token usage for the same request.

4. Match the model to the task

Reserve the frontier model for genuinely complex work — architectural decisions, deep debugging, large refactors — and switch to a lighter, faster model for routine edits. This is one of the more reliable levers because it doesn’t change how you work, just which model handles it.

5. One thread per task

A Cascade thread that’s drifted from a bug fix into a feature question into a documentation request is carrying all three histories into every new message. Starting a new thread per task keeps context focused on what you’re actually asking, and — per Windsurf’s own quota documentation — keeps you further from hitting a usage ceiling mid-task.

6. Give it structured context instead of a screenshot for UI work

If you’re using Windsurf for frontend fixes, a screenshot forces Cascade to interpret pixels and guess at the underlying selector before it can act — and a wrong guess costs you a full retry. The actual selector, computed styles, and DOM structure as text skips that step entirely.

That’s what UICuts is for: point at an element in the browser, and it exports the selector and styles as structured text, ready to paste into Windsurf instead of a screenshot. The same idea holds whether you’re pairing it with Windsurf, GitHub Copilot, or an OpenCode-style setup — and the underlying mechanics are the same ones covered in the OpenClaw piece, since every agent pays the same tax for irrelevant context.

Key lessons learned

• Memories are convenient but workspace-local; Rules are what you want for anything durable or team-shared.
• Open tabs are context whether you meant them to be or not — treat closing them like closing a browser tab you’re done with.
• Model choice is one of the highest-leverage, lowest-effort levers you have. Save the frontier model for work that actually needs it.

Try UICuts free if UI feedback is part of your Windsurf workflow.