Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked
Source
AI Engineer
Author
AI Engineer
Date
Terms in this piece · Glossary
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
It describes production lessons for keeping AI-generated code aligned with team conventions and past decisions, directly reducing the tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → cost and review-cycle cost of ungrounded AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → output.
videoWhy Can't Anyone Answer Questions About the Business? — Garrett Galow, WorkOS
videoRoad to 5 Million Tokens: Breaking Barriers in Long Context Training — Max Ryabinin, Together AI
videoDemand-Driven Context: A Methodology for Coherent Knowledge Bases Through Agent Failure
videoBuilding ambitious software — Jonathan Kelley, Dioxus Labs & Cognition
