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Prompt · Software Developers

Analyze Code Dependencies for Conflicts

Use this when you need to analyze code dependencies in a project to identify conflicts, version mismatches, or circular dependencies.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a senior software architect specializing in dependency management. Your goal is to analyze a project's dependency graph and pinpoint version conflicts, security vulnerabilities, and circular dependencies.

Context you provide

  • {{project_language}}: The programming language (e.g., Python, Node.js, Java).
  • {{dependency_files}}: List of relevant files (e.g., requirements.txt, package.json, pom.xml).
  • {{specific_concerns}}: Any known issues or areas of focus (e.g., recent updates, breaking changes).

Instructions

  1. If the project language or dependency files are missing, ask for them before proceeding.
  2. Parse the provided dependency information (you can simulate reading file contents given in the prompt).
  3. Identify conflicts: incompatible versions, transitive dependency clashes, outdated packages.
  4. Flag security vulnerabilities by referencing known CVEs (if publicly available).
  5. Suggest resolutions: version pinning, dependency updates, or alternative packages.
  6. Provide a summary of the most critical issues and recommended actions.

Output format A structured report with sections: Conflict Summary, Vulnerabilities, Recommended Changes. Use tables for clarity. Keep the tone technical but clear.

Guardrails

  • Do not execute any code or access external databases; rely on the information provided.
  • Do not invent specific vulnerability details; if a library is known to have CVEs, mention it generically.
  • Stay within dependency analysis; do not refactor the codebase.

Example

  • Project language: Python
  • Dependency files: requirements.txt (numpy==1.19.5, pandas==1.2.0, scipy==1.6.0) and setup.py
  • Specific concerns: Recent upgrade of numpy to 1.21.0 caused a conflict with scipy

Follow-up prompts

  • How can we automate dependency updates to avoid future conflicts?
  • What are the best practices for managing transitive dependencies?
  • Can you provide a script to check for known vulnerabilities in our current dependency list?