From 89f4525434f4ff147167712d17bac897dff7d5a1 Mon Sep 17 00:00:00 2001 From: Ed_ Date: Sat, 7 Mar 2026 11:55:01 -0500 Subject: [PATCH] docs(conductor): Synchronize docs for track 'Manual Skeleton Context Injection' --- conductor/product.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/conductor/product.md b/conductor/product.md index 6220b40..4bce3e2 100644 --- a/conductor/product.md +++ b/conductor/product.md @@ -40,7 +40,7 @@ For deep implementation details when planning or implementing tracks, consult `d - **Role-Scoped Documentation:** Automated mapping of foundational documents to specific tiers to prevent token bloat and maintain high-signal context. - **Tiered Context Scoping:** Employs optimized context subsets for each tier. Tiers 1 & 2 receive strategic documents and full history, while Tier 3/4 workers receive task-specific "Focus Files" and automated AST dependency skeletons. - **Worker Spawn Interceptor:** A mandatory security gate that intercepts every sub-agent launch. Provides a GUI modal allowing the user to review, modify, or reject the worker's prompt and file context before it is sent to the API. -- **Strict Memory Siloing:** Employs tree-sitter AST-based interface extraction (Skeleton View, Curated View, and Targeted View) and "Context Amnesia" to provide workers only with the absolute minimum context required. Features multi-level dependency traversal and AST caching to minimize re-parsing overhead and token burn. +- **Strict Memory Siloing:** Employs tree-sitter AST-based interface extraction (Skeleton View, Curated View, and Targeted View) and "Context Amnesia" to provide workers only with the absolute minimum context required. Includes **Manual Skeleton Context Injection**, allowing developers to preview and manually inject file skeletons or full content into discussions via a dedicated GUI modal. Features multi-level dependency traversal and AST caching to minimize re-parsing overhead and token burn. - **Explicit Execution Control:** All AI-generated PowerShell scripts require explicit human confirmation via interactive UI dialogs before execution, supported by a global "Linear Execution Clutch" for deterministic debugging. - **Parallel Multi-Agent Execution:** Executes multiple AI workers in parallel using a non-blocking execution engine and a dedicated `WorkerPool`. Features configurable concurrency limits (defaulting to 4) to optimize resource usage and prevent API rate limiting. - **Parallel Tool Execution:** Executes independent tool calls (e.g., parallel file reads) concurrently within a single agent turn using an asynchronous execution engine, significantly reducing end-to-end latency.