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When you change branches, Git physically swaps the files on your disk to match the target branch.",{"type":23,"tag":24,"props":1796,"children":1797},{},[1798,1803,1805,1810],{"type":23,"tag":245,"props":1799,"children":1800},{},[1801],{"type":28,"value":1802},"Git Worktrees",{"type":28,"value":1804}," decouple the working directory from the repository. They allow you to have one single \"Brain\" (the ",{"type":23,"tag":350,"props":1806,"children":1808},{"className":1807},[],[1809],{"type":28,"value":1792},{"type":28,"value":1811}," database) connected to multiple \"Bodies\" (folders), each showing a different branch simultaneously. This is not a copy of the repository; it is a live, linked view of a specific branch.",{"type":23,"tag":653,"props":1813,"children":1815},{"id":1814},"key-benefits",[1816],{"type":28,"value":1817},"Key Benefits",{"type":23,"tag":53,"props":1819,"children":1820},{},[1821,1839,1849,1859],{"type":23,"tag":57,"props":1822,"children":1823},{},[1824,1829,1831,1837],{"type":23,"tag":245,"props":1825,"children":1826},{},[1827],{"type":28,"value":1828},"Zero-Stash Context Switching:",{"type":28,"value":1830}," Move to an urgent hotfix without the overhead of ",{"type":23,"tag":350,"props":1832,"children":1834},{"className":1833},[],[1835],{"type":28,"value":1836},"git stash",{"type":28,"value":1838}," or creating \"work-in-progress\" (WIP) commits. You simply change directories.",{"type":23,"tag":57,"props":1840,"children":1841},{},[1842,1847],{"type":23,"tag":245,"props":1843,"children":1844},{},[1845],{"type":28,"value":1846},"Parallel Execution:",{"type":28,"value":1848}," Run a long-running test suite or a build process on the main branch in one terminal while continuing to write code for a new feature in another folder.",{"type":23,"tag":57,"props":1850,"children":1851},{},[1852,1857],{"type":23,"tag":245,"props":1853,"children":1854},{},[1855],{"type":28,"value":1856},"Side-by-Side Comparison:",{"type":28,"value":1858}," Open two different branches in your IDE (e.g., VS Code or IntelliJ) simultaneously. This is invaluable for manual regression testing or verifying how a specific utility function evolved between versions.",{"type":23,"tag":57,"props":1860,"children":1861},{},[1862,1867,1869,1874],{"type":23,"tag":245,"props":1863,"children":1864},{},[1865],{"type":28,"value":1866},"Resource Efficiency:",{"type":28,"value":1868}," Unlike cloning the repo multiple times (which duplicates the entire ",{"type":23,"tag":350,"props":1870,"children":1872},{"className":1871},[],[1873],{"type":28,"value":1792},{"type":28,"value":1875}," history, often hundreds of megabytes), worktrees share the same object database. The only extra space used is for the actual checked-out source files.",{"type":23,"tag":41,"props":1877,"children":1879},{"id":1878},"_2-technical-architecture-the-brain-vs-the-body",[1880],{"type":28,"value":1881},"2. 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This keeps each agent's prompt focused and its tool set minimal — both critical for reliability.",{"type":23,"tag":653,"props":2934,"children":2936},{"id":2935},"graph-state-and-conditional-routing",[2937],{"type":28,"value":2938},"Graph State and Conditional Routing",{"type":23,"tag":24,"props":2940,"children":2941},{},[2942,2944,2949],{"type":28,"value":2943},"LangGraph gives us ",{"type":23,"tag":245,"props":2945,"children":2946},{},[2947],{"type":28,"value":2948},"stateful, conditional execution graphs",{"type":28,"value":2950}," — far more control than a simple chain:",{"type":23,"tag":2229,"props":2952,"children":2956},{"className":2953,"code":2954,"language":2955,"meta":8,"style":8},"language-python shiki shiki-themes github-light github-dark","from langgraph.graph import StateGraph, END\n\nworkflow = StateGraph(AgentState)\n\n# Add nodes (each is an agent or processing step)\nworkflow.add_node(\"supervisor\", supervisor_node)\nworkflow.add_node(\"nlp_to_sql\", nlp_sql_agent)\nworkflow.add_node(\"rag_qa\", rag_agent)\nworkflow.add_node(\"knowledge_graph\", kg_agent)\nworkflow.add_node(\"anomaly_detector\", anomaly_agent)\n\n# Conditional routing from supervisor\nworkflow.add_conditional_edges(\n    \"supervisor\",\n    route_by_intent,\n    {\n        \"sql_query\": \"nlp_to_sql\",\n        \"document_qa\": \"rag_qa\",\n        \"entity_search\": \"knowledge_graph\",\n        \"anomaly_check\": \"anomaly_detector\",\n        \"done\": END,\n    },\n)\n","python",[2957],{"type":23,"tag":350,"props":2958,"children":2959},{"__ignoreMap":8},[2960,2968,2977,2985,2993,3002,3011,3020,3029,3038,3047,3055,3064,3073,3082,3091,3100,3109,3118,3127,3136,3145,3154],{"type":23,"tag":2239,"props":2961,"children":2962},{"class":2241,"line":2242},[2963],{"type":23,"tag":2239,"props":2964,"children":2965},{},[2966],{"type":28,"value":2967},"from langgraph.graph import StateGraph, END\n",{"type":23,"tag":2239,"props":2969,"children":2970},{"class":2241,"line":1703},[2971],{"type":23,"tag":2239,"props":2972,"children":2974},{"emptyLinePlaceholder":2973},true,[2975],{"type":28,"value":2976},"\n",{"type":23,"tag":2239,"props":2978,"children":2979},{"class":2241,"line":1714},[2980],{"type":23,"tag":2239,"props":2981,"children":2982},{},[2983],{"type":28,"value":2984},"workflow = StateGraph(AgentState)\n",{"type":23,"tag":2239,"props":2986,"children":2988},{"class":2241,"line":2987},4,[2989],{"type":23,"tag":2239,"props":2990,"children":2991},{"emptyLinePlaceholder":2973},[2992],{"type":28,"value":2976},{"type":23,"tag":2239,"props":2994,"children":2996},{"class":2241,"line":2995},5,[2997],{"type":23,"tag":2239,"props":2998,"children":2999},{},[3000],{"type":28,"value":3001},"# Add nodes (each is an agent or processing 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