I Fixed LLM Markdown Errors with Jinja2 and AST Parsing

Stop Fighting Prompts: How I Reduced Formatting Errors to 0.1% LLMs are great at generating content, but terrible at keeping it clean. In the ai-developer-knowledge-hub project, we faced a recurring nightmare: the technical documents generated by the LLM were riddled with formatting issues. Specifically, code blocks often lacked closing markers or had unclosed strings, crashing our frontend rendering engine. We tried the obvious route: optimizing the Prompt. We begged the model to "output cor...