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like it works but in reality does not.\n\n## Characteristics\n\nCosplay code can take different forms:\n\n- Copy-paste feel: code looks like it was generated or pasted from somewhere else, with no adaptation to the actual\nproject context.\n- Unused imports / dead code: extra functions, imports, or variables that are never called or referenced\n- Inconsistent naming: variables, methods, or classes that don’t follow project conventions, suggesting no attempt\nto understand the style or standards.\n- Low-effort fixes: only addressing linters/formatters or renaming variables, without meaningful contribution\nto functionality.\n- No integration awareness: code may work in isolation but breaks as soon as it interacts with the rest of the\napplication (database, APIs, services).\n- Code that does not even pass quality checks (linters, formatters, CI) and contains no tests.\n- Tests that pass only because they are mocked incorrectly or do not cover integration scenarios.\n- Code that technically passes automated checks.\n- Code that includes tests, which appear to be green.\n\nOn the surface, these may look like valid contributions.\n\n## The Problem\n\nWhen integrated into a real application, cosplay code fails.\nCommon reasons include:\n\n- Missing attributes (for example, the AI or contributor assumed they existed).\n- Wrong assumptions about database tables or ORM structure.\n- Incorrect function signatures (wrong number or type of arguments).\n- Logic that compiles but does not function in real-world usage.\n\nThis indicates that the code was never actually run in the intended environment.\nInstead of genuine effort to improve the project, the goal often seems to be:\n\n- Getting a PR reviewed and merged quickly.\n- Gaining contribution credit without meaningful impact.\n\n## Impact\n\n- Maintainers' time is wasted reviewing and debugging non-functional contributions.\n- The project's quality and credibility suffer.\n- It creates noise that drowns out meaningful contributions.\n\n## Takeaway\n\nCosplay coding highlights the need for contributors to run and validate their code in real scenarios, not just\nrely on passing automated checks. 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