Not wrap the OpenAI API and slap LangChain on it tutorials. I mean actually engineering the internals like the agent loop, tool calling, memory, planning, context management across large codebases, multi-agent coordination. The real stuff.
Every search returns the same surface level content. Use CrewAI. Use AutoGen, cool but what's actually happening under the hood and how do I build that myself from zero? Solid engineering background, not a beginner. Looking for serious GitHub repos, papers, anything that goes deeper than a YouTube thumbnail saying “Build an AI Agent in 10 minutes."
Does this resource exist or are we all just stacking abstractions on abstractions?
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