The Hidden Cost of AI Coding

The real cost of AI-assisted coding — tokens, spend, review load, and the maintenance bill.

7 tutorials · start at part 1 or jump anywhere

  1. 1 What Is a Token in AI? How AI Coding Tools Are Priced Tokens defined from first principles: how code tokenizes differently, why output costs 5x more, and what drives agentic AI coding bills to $2,000/month. Jun 23, 2026
  2. 2 Why AI Agent API Costs Are So Much Higher Than Chatbots 62% of an agent's bill is the model rereading prior context on every step. Learn why agentic workloads cost 5–30x more and what you can do about it. Jun 23, 2026
  3. 3 Context Window Limits: Why 200K Tokens Isn't Really 200K The advertised context window is not your working budget. Learn why effective capacity is smaller, how position determines recall, and what context rot does to long agent sessions. Jun 23, 2026
  4. 4 What Is Context Rot and Why AI Agents Degrade Over Time Why AI agents get worse mid-session even with a half-empty context window — and the three compounding mechanisms behind it. Jun 23, 2026
  5. 5 Prompt Caching: How Anthropic and OpenAI Differ (and the Catch) How prompt caching works on Anthropic and OpenAI, what the break-even math looks like, and why prefix order can make or break your hit rate. Jun 23, 2026
  6. 6 How to Reduce AI Coding Costs 40-60% with Model Tiering Route each agent task to the right model tier — Haiku 4.5, Sonnet 4.6, or Opus 4.8 — and cut AI coding spend 40-60% with no measurable quality loss. Jun 23, 2026
  7. 7 Context Engineering: What the Model Sees Is What You Design Context engineering replaced prompt engineering for agents: four failure modes, four levers, and how to design the model's full information environment. Jun 23, 2026