Building a Pi Extension to Log Coding Sessions
The author built a Pi extension that logs key details of each coding session with an AI assistant, including user prompts, tools used, and the assistant's final response.
Why it matters
This extension helps developers better track their decision-making process and learnings from using AI coding assistants, which can improve productivity and collaboration.
Key Points
- 1The author lost track of the decisions and tradeoffs made during coding sessions with AI assistants
- 2The extension extracts only essential data points (user prompts, tools used, last assistant message) to avoid bloated summaries
- 3The extracted data is stored compactly to provide a concise record of each coding session
Details
The author built a Pi extension, an open and extensible AI coding assistant, to address the issue of losing track of decisions and tradeoffs made during coding sessions. The obvious solution of summarizing the entire session context was rejected as it would result in expensive and bloated summaries due to the massive amount of data. Instead, the extension extracts only three key pieces of information: user prompts (capped at 300 characters), the tools used (bash, edit, read, grep, etc.), and the last assistant message (capped at 300 characters). This bounded extraction approach ensures the logged data stays compact regardless of session length, providing a concise record of each coding session.
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