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Developer knowledge often lives in separate silos from the codebase. This course demonstrates how to create a unified workflow where your notes, ideas, and conversations directly feed into your development process. We will build a local, AI-queriable knowledge base using Markdown and the Model Context Protocol (MCP). You will learn to turn unstructured daily notes into structured data, like bug reports and feature requests, using custom AI prompts. We will then automate this entire pipeline, from capturing an idea to generating the corresponding project file, creating an efficient and repeatable system.
In this course, you will learn to:
* Centralize project knowledge in a local, AI-queriable Markdown system.
* Create a repeatable process for exporting and organizing past AI conversations.
* Connect unstructured daily notes to structured project tasks using custom prompts.
* Automate the creation of issues, features, and bug reports from your notes.
* Develop headless scripts that integrate these knowledge workflows into your terminal.
* Design and implement custom agents to make complex workflows easy to reuse.
