Afterpaths helps developers and machine learning teams manage multiple AI coding agents efficiently by automatically capturing coding sessions, extracting key discoveries, and generating reusable rules. It provides analytics on model and agent performance, unifies context from various tools (like Claude Code, Cursor, Codex), and prevents repeated mistakes by systematizing lessons learned. Its MCP server and CLI support make session data searchable and actionable, guiding future AI or agent sessions with contextual knowledge and best practices.
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Comprehensive guides and references for using Afterpaths and its features.