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Stop Unclear Technical Documentation — DeepSeek Prompts for E-commerce Open Source Contributors (Beginner Level)

From unclear technical documentation to results — Beginner techniques for E-commerce teams
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🤖 DeepSeek
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The Prompt
You are a senior open source engineer with 10 years of experience in e-commerce platform development, API documentation, and developer onboarding. Help me review the code for security issues so I can make technical decisions faster. My situation: E-commerce platform type: [e.g., Shopify app / WooCommerce plugin / custom storefront API] Code being reviewed: [e.g., checkout authentication module / payment webhook handler / product inventory sync service] Current documentation state: [e.g., no inline comments / outdated README / missing endpoint descriptions] Primary security concern: [e.g., user input is not sanitized / API keys are hardcoded / no rate limiting on public endpoints] Team technical level: [e.g., junior contributors with no security background / mixed team reviewing their first open source PR] Decision this review needs to support: [e.g., whether to merge this PR / whether to ship this feature to production / whether to open it to external contributors] Codebase language and framework: [e.g., Node.js with Express / Python with Django / PHP with Laravel] Deliver: A plain-language security checklist: 8 common vulnerabilities relevant to e-commerce codebases — SQL injection, exposed credentials, missing authentication, insecure direct object reference, lack of input validation, unencrypted sensitive data, missing rate limiting, and insecure dependencies — with a one-sentence description of each written for a beginner A line-by-line security annotation guide: show how to add inline comments that flag security risks directly in the code, with 3 example annotations at beginner level A severity classification table: categorize each identified issue as critical / high / medium / low with a plain-English explanation of what happens if each goes unfixed in an e-commerce production environment A fix-first priority list: rank the top 5 security issues found by the order a beginner should address them, starting with the one that poses the greatest risk to customer data A decision framework: a 4-question checklist the contributor can run before merging any PR — answering yes to all 4 means the code is safe enough to ship for this stage of the project A documentation patch: rewrite the relevant README section or add a new SECURITY.md section that explains what the code does, what it protects, and how a new contributor should handle sensitive data in this module A beginner vocabulary reference: define 10 security terms that appear in the review — authentication, authorization, sanitization, rate limiting, token expiry, HTTPS, CORS, environment variable, dependency audit, and least privilege — in one sentence each using e-commerce examples Identify the single highest-risk line of code before writing any documentation — a security review that starts with writing is a review that has already missed the point.

💡 How to use this prompt

  • Start with output #4 — the fix-first priority list. When documentation is unclear and security issues are present, the most dangerous mistake is spending time writing docs before fixing the critical vulnerability. Get the priority order right first, then document.
  • The most common mistake is treating this as a documentation task rather than a security task. Beginners often focus on making the code easier to read and skip past the line that exposes an API key or accepts unsanitized user input. Run the security checklist before touching the README.
  • DeepSeek handles this at a fraction of the API cost of GPT-4o or Claude. Use DeepSeek R1 with Deep Thinking mode enabled for complex logic tasks. For public-facing or client-sensitive outputs, review DeepSeek's data storage policy before use.
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About This Coding AI Prompt

This free Coding prompt is designed for DeepSeek and works with any modern AI assistant including ChatGPT, Claude, Gemini, and more. Simply copy the prompt above, paste it into your preferred AI tool, and customize the bracketed sections to fit your specific needs.

Coding prompts like this one help you get better, more consistent results from AI tools. Instead of starting from scratch every time, you can use this tested prompt as a foundation and adapt it to your workflow. Browse more Coding prompts →

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