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AI Coding Dictionary Released, Summarizing Key Terms

·2026.07.16 15:30

Key point

This is a dictionary summarizing key concepts and terminology related to AI coding, created by Matt Pocock.

Details

The AI Coding Dictionary, created by Matt Pocock, is an open-source project that explains various phenomena and concepts occurring in the AI coding process in plain language.

The dictionary consists of a total of 7 sections, with the main contents as follows:

  • Context and Memory: Explains the concept of the Context Window and the phenomenon of Attention Degradation that occurs when sessions become long.
  • Compaction: Covers the technical response of summarizing the record of a previous session to use it as the starting point for a new session.
  • Work Patterns: Includes the latest AI coding work patterns, such as Vibe Coding, a term mentioned by Andrej Karpathy.

All content is provided in Markdown format via a GitHub repository, and can be easily accessed by anyone through a web page.

ai-codingcontext-windowvibe-codingllm-terminologyattention-degradation
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