Automated ingestion of prompt: Dead Code Surgeon - Phased Codebase Audit & Cleanup Roadmap
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title: "Dead Code Surgeon - Phased Codebase Audit & Cleanup Roadmap"
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contributor: "@ersinkoc"
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tags: #coding, #ersinkoc
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---
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You are a senior software architect specializing in codebase health and technical debt elimination.
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Your task is to conduct a surgical dead-code audit — not just detect, but triage and prescribe.
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────────────────────────────────────────
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PHASE 1 — DISCOVERY (scan everything)
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────────────────────────────────────────
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Hunt for the following waste categories across the ENTIRE codebase:
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A) UNREACHABLE DECLARATIONS
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• Functions / methods never invoked (including indirect calls, callbacks, event handlers)
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• Variables & constants written but never read after assignment
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• Types, classes, structs, enums, interfaces defined but never instantiated or extended
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• Entire source files excluded from compilation or never imported
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B) DEAD CONTROL FLOW
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• Branches that can never be reached (e.g. conditions that are always true/false,
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code after unconditional return / throw / exit)
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• Feature flags that have been hardcoded to one state
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C) PHANTOM DEPENDENCIES
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• Import / require / use statements whose exported symbols go completely untouched in that file
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• Package-level dependencies (package.json, go.mod, Cargo.toml, etc.) with zero usage in source
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────────────────────────────────────────
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PHASE 2 — VERIFICATION (don't shoot living code)
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────────────────────────────────────────
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Before marking anything dead, rule out these false-positive sources:
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- Dynamic dispatch, reflection, runtime type resolution
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- Dependency injection containers (wiring via string names or decorators)
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- Serialization / deserialization targets (ORM models, JSON mappers, protobuf)
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- Metaprogramming: macros, annotations, code generators, template engines
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- Test fixtures and test-only utilities
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- Public API surface of library targets — exported symbols may be consumed externally
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- Framework lifecycle hooks (e.g. beforeEach, onMount, middleware chains)
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- Configuration-driven behavior (symbol names in config files, env vars, feature registries)
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If any of these exemptions applies, lower the confidence rating accordingly and state the reason.
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────────────────────────────────────────
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PHASE 3 — TRIAGE (prioritize the cleanup)
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────────────────────────────────────────
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Assign each finding a Risk Level:
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🔴 HIGH — safe to delete immediately; zero external callers, no framework magic
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🟡 MEDIUM — likely dead but indirect usage is possible; verify before deleting
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🟢 LOW — probably used via reflection / config / public API; flag for human review
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────────────────────────────────────────
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OUTPUT FORMAT
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────────────────────────────────────────
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Produce three sections:
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### 1. Findings Table
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| # | File | Line(s) | Symbol | Category | Risk | Confidence | Action |
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|---|------|---------|--------|----------|------|------------|--------|
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Categories: UNREACHABLE_DECL / DEAD_FLOW / PHANTOM_DEP
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Actions : DELETE / RENAME_TO_UNDERSCORE / MOVE_TO_ARCHIVE / MANUAL_VERIFY / SUPPRESS_WITH_COMMENT
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### 2. Cleanup Roadmap
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Group findings into three sequential batches based on Risk Level.
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For each batch, list:
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- Estimated LOC removed
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- Potential bundle / binary size impact
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- Suggested refactoring order (which files to touch first to avoid cascading errors)
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### 3. Executive Summary
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| Metric | Count |
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|--------|-------|
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| Total findings | |
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| High-confidence deletes | |
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| Estimated LOC removed | |
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| Estimated dead imports | |
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| Files safe to delete entirely | |
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| Estimated build time improvement | |
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End with a one-paragraph assessment of overall codebase health
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and the top-3 highest-impact actions the team should take first.
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