'pdg' 검색 결과

Use GitNexus to inspect which conditions control a statement and how variable values flow within a function. Understand early exits, investigate empty query results, and guide changes to the tool’s control and data dependency queries.

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• Check which conditions control a statement
• Trace a variable within a function
• Investigate empty pdg_query results

Understand and extend GitNexus taint analysis, which tracks data from input sources to potentially dangerous operations. Use its implementation guidance to investigate missed or incorrect findings, add detection models, and validate analysis changes.

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• Investigating missed or incorrect data-flow findings
• Adding input sources, dangerous operations, or sanitizers
• Reviewing analysis that follows data across functions

Create an implementation plan grounded in code relationships and verified source files, with proposed changes, test scenarios, risks, and a structured handoff for an implementation agent. It can also revisit and strengthen an existing plan.

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• Planning a new feature
• Assessing a shared API change before implementation
• Strengthening and rechecking an existing plan

Query physics databases — NIST CODATA constants, NIST Chemistry WebBook, Materials Project, Particle Data Group (PDG), OEIS sequences. Always use these instead of hardcoding physical constants.

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Review pull requests, branches, commit ranges, or local changes with GitNexus. Combine code relationship analysis with source and test inspection to identify concrete defects, missing tests, affected behavior, and risks before merging.

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• Review a pull request before merging
• Trace regressions beyond changed files
• Find missing tests for changed behavior

Find the right GitNexus tools and workflows for exploring code relationships. This reference explains available commands, graph queries, and resources, including how to check which branch an answer describes and whether its index is current.

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• Find a GitNexus tool for a specific task
• Learn how to query code relationships
• Check index freshness and branch information

Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.

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Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.

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Use when analyzing binary structure, disassembling code, or decompiling functions. Deep static analysis via radare2 (r2) and Ghidra headless - function enumeration, cross-references (xrefs), decompilation, control flow graphs. Keywords - "disassemble", "decompile", "what does this function do", "find functions", "analyze code", "r2", "ghidra", "pdg", "afl"

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