Ai insights documentation #110
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…best practices, prompting phrases, and detailed instructions for various tools and functionalities. This new markdown file serves as a guide for effective AI interactions and project management.
This commit adds three new files based on the analysis of research.learn.md: 1. best_practices_article.md: An article summarizing best practices for developing AI-assisted coding tools, covering prompting, UI/UX, tooling, system design, and more. 2. tool_list.md: A Markdown list of tools and functions used by various AI coding platforms (VS Code, v0, Manus, Lovable, etc.), derived from their system prompt documentation. 3. system_prompt_insights.md: A document highlighting key structural elements, organizational strategies, and design insights for creating effective system prompts for AI agents.
This commit introduces a new document, agentic_flow_patterns.md, which details how system prompts (drawing examples from research.learn.md, particularly Manus and Replit) define and manage agentic flow mechanisms. The document covers: - Key structural elements and tags (e.g., <agent_loop>, <event_stream>). - Core patterns like the input-process-output loop and event-driven architectures. - Task management, planning strategies, and policy integration. - Conclusions on designing effective system prompts for robust agentic behavior.
This commit introduces the `prompt_design_dimensions.md` file. This document outlines key dimensions to consider when designing system prompts for AI vibe coding systems, based on an analysis of examples in `research.learn.md`. Dimensions include identity, agentic flow, tool usage, policies, and more. The document also includes a section describing the capabilities available to me (Jules) as an example.
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sorry wrong pr |
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