The Context Trap: Managing 2M Tokens Without Breaking the Bank
Infinite context windows are a trap. Discover how to effectively manage large codebases in 2026 without burning through your entire API budget in a single session.
With Gemini 1.5 Pro and Claude Opus offering 1M+ token windows, it's tempting to just cat **/* | llm. Don't do this. Not only is it slow, but the "Lost in the Middle" phenomenon is real, and the costs spiral quickly.
Strategy 1: The Walking Skeleton (RAG-First)
Instead of loading the whole repo, use a lightweight RAG (Retrieval Augmented Generation) step to find only the relevant files. Tools like repomap are essential here. They generate a tree structure of your code, which uses <1% of the tokens of the full content.
Strategy 2: Sub-Agent Summaries
If you need to refactor a massive module, break it down. Have a "Reader Agent" consume the files 5 at a time and generate a compressed architectural summary. Feed that summary to the "Writer Agent."
Do's and Don'ts
DO
- ✅ Use `.geminiignore` or `.clawignore` to exclude `node_modules` and lockfiles.
- ✅ Cache context using the new caching APIs (Anthropic/Google).
DON'T
- ❌ Feed `package-lock.json` to the LLM. It's expensive noise.
- ❌ Ignore cost alerts. Set a hard daily limit.
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