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I recently built https://github.com/fblgit/eLLMulator A software emulator for Claude Code. eLLMulator approach: LLM agents become your software components. Each agent deeply studies its assigned source file, then interacts with other agents via synchronous MCP tool calls that mirror real function calls. The call graph emerges naturally from code control flow, producing traces that capture not just what happened, but why each component behaved as it did. The Claude Agent SDK provides sessions, MCP provides the bus. The code itself is the routing layer. https://github.com/fblgit/eLLMulator
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Chain-of-Model Learning for Language Model
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