04/29/2026
Most teams using AI coding tools are burning 10-50x more tokens than they need to.
𝗛𝗲𝗿𝗲'𝘀 𝘁𝗵𝗲 𝗺𝗮𝘁𝗵 𝗻𝗼𝗯𝗼𝗱𝘆'𝘀 𝗱𝗼𝗶𝗻𝗴:
A typical refactoring task across 5 files.
❌ 𝗡𝗮𝗶𝘃𝗲 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵:
Dump the full repo context
→ 100K+ tokens per call
→ Model loses track of what matters
→ $2-5 per task
→ 50 engineers × 20 tasks/day = 𝘂𝗽 𝘁𝗼 $𝟱,𝟬𝟬𝟬/𝗱𝗮𝘆
✅ 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵:
AST extraction of relevant function bodies → 8K tokens
→ Model gets exactly what it needs
→ $0.15-0.30 per task
→ Same team = 𝘂𝗻𝗱𝗲𝗿 $𝟯𝟬𝟬/𝗱𝗮𝘆
That's an 𝟴𝟮% 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻. Not from a worse model. From better context.
Stop treating your codebase like a document to search. Code has structure — import chains, call graphs, type signatures, git history. When you navigate by structure instead of similarity, you send the model a scalpel instead of a haystack.
𝗧𝗼𝗸𝗲𝗻 𝗯𝘂𝗱𝗴𝗲𝘁𝘀 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗰𝗹𝗼𝘂𝗱 𝗯𝘂𝗱𝗴𝗲𝘁𝘀.
The teams that figure this out first will outship everyone else at 1/10th the cost.
This is take #5 of 10 in our AI Dev Reality Check series. Follow along every Wednesday.
What's your team spending on AI tokens per month?
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💬 Or DM me REPORT and I'll run a free architecture analysis on your codebase
