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Code understanding tool selection. Use when exploring architecture, finding definitions, tracing call chains, assessing blast radius of changes, or debugging code paths in the Genesis codebase.
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Use when navigating or refactoring code with a language server - choosing between semantic (LSP), exact-text (rg), and fuzzy/semantic search; anchoring LSP calls by position; gating degraded results; and disclosing tool substitutions, in any language.
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Compiler-level code intelligence via native LSP — definitions, references, types, call hierarchies, and diagnostics.
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Route codebase-structure questions (who calls X, where used, change-impact) to an existing code-graph first: impact, tests-for, dead cheaper, never more precise; grep routine. Also 'call graph'.
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Use for AST/dep graph/complexity analysis of Python code.
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Index a codebase with GitNexus and serve an interactive knowledge graph via web UI + Cloudflare tunnel.
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