The nightmare of markdown files and AI tools

Navigating the Nightmare of Markdown Files in AI Development

Introduction to the Problem

• The speaker, a software developer, discusses the challenges faced when using various AI tools like cloud code, codecs, and Gemini.

• Each tool has its own method for managing memory files and agents, leading to confusion and disorganization in markdown file management.

Proposed Solution: AI Coders Context

• The speaker introduces an open-source project called "AI Coders Context" aimed at simplifying markdown file organization across different tools.

• The proposal includes a centralized "context folder" that houses all necessary components such as agents, documents, plans, and skills.

Configuration and Synchronization

• Users can quickly sync their context folder with any tool they are using (e.g., cloud code), ensuring changes are recognized automatically.

• An interactive CLI is available for users who prefer command-line interfaces; it analyzes the codebase and suggests next steps.

Setting Up Context and Planning Tasks

• After initializing the context through either CLI or MCP (Multi-channel Protocol), files are generated that understand the user's specific codebase.

• Users can prompt plans for tasks (e.g., developing new authentication methods), which will align with relevant agents and documentation.

Workflow Execution with Previs Methodology

• The workflow system utilizes a method called "previs," focusing on planning, reviewing, executing, validating, and confirming tasks iteratively with AI assistance.

• This approach allows developers to maintain control over their projects rather than relying solely on automated processes.

Example of Enhanced Workflow Management

• A typical user experience involves detailed interactions where they specify types of authentication methods while receiving feedback from AI about risks and dependencies.

• The process emphasizes understanding each step before moving forward—ensuring all tasks pass validation checks before deployment.

Flexibility Across Tools

• Users can switch between tools (like cloud code to codeex), maintaining continuity in their workflows due to persistent memory tracking progress.

• An example illustrates how initiating context in one tool seamlessly integrates into others while addressing multiple problems identified during validation.

Execution Process and Open-Source Development

Overview of the Execution Process

• The speaker discusses generating three different plans linked to the current workflow, emphasizing simplicity in execution.

• Antigraph is highlighted as a tool currently aiding in executing these plans effectively.

• The speaker expresses a desire for straightforwardness in using the tool, indicating a focus on user-friendliness.

Validation and Community Involvement

• A call to action is made for viewers to help validate the tool by finding bugs and writing pull requests.

• The aim is to improve the overall experience with the tool, making life easier for users.

• The speaker shares personal insights about this being their first YouTube video in English and their initial open-source project.