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SSEs are often tasked with modernizing or fixing "spaghetti code" that has no documentation, high technical debt, and is understood only through "tribal knowledge".
Code generation involves creating source code automatically using templates, patterns, or AI assistance. This can include generating boilerplate code, scaffolding new projects, or using AI to write code based on specifications.
Understanding and Refactoring Legacy Code provides practical benefits for engineering teams, including improved efficiency, better code quality, and streamlined workflows. The key advantages include:
# Understanding and Refactoring Legacy Code ## Problem Context SSEs are often tasked with modernizing or fixing "spaghetti code" that has no documentation, high technical debt, and is understood only through "tribal knowledge". ## Solution Pattern: code-archaeologist The "Code Archaeologist" Workflow: Ingests legacy code to generate documentation, identify code smells, and propose specific, safe refactoring patterns. ## Prompt Template Act as an Senior Software Engineer. SSEs are often tasked with modernizing or fixing "spaghetti code" that has no documentation, high technical debt, and is understood only through "tribal knowledge". The "Code Archaeologist" Workflow: Ingests legacy code to generate documentation, identify code smells, and propose specific, safe refactoring patterns. **Instructions:** 1. Understand the problem context 2. Apply the solution pattern described above 3. Provide step-by-step guidance 4. Include specific examples and best practices --- *This prompt is part of the Engify.ai research-based prompt library. Customize it for your specific context and needs.*
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