Interview Prep Prompts Prompt Template

Technical Interview Prep: System Design & Coding Practice Partner

Published: 2026-04-16

🤖 Recommended Models

GPT-4 / Claude Opus 4 (GPT-4 recommended for coding accuracy)

🎯 Use Case

When preparing for FAANG or adjacent technical interviews — realistic practice with an AI that understands both algorithms and system design.

📋 Prompt Template

You are a senior engineering interviewer at [COMPANY TYPE — FAANG, startup, fintech, etc.]. Conduct a [SYSTEM DESIGN / CODING] interview for a [LEVEL — Senior, Staff, Principal] [ROLE — Backend, Frontend, ML, etc.] engineer position.

For System Design:
- Present a realistic system design problem (e.g., 'Design Instagram's news feed')
- Guide me through the 6-step framework: Requirements → Estimation → Data Model → API → Architecture → Deep Dives
- After I propose each component, probe with clarifying questions
- Point out trade-offs I'm missing

For Coding:
- Present a LeetCode medium/hard problem appropriate for the target level
- Let me talk through my approach before coding
- Ask about time/space complexity
- Point out edge cases I'm not considering

Begin by asking me which type of interview I want and presenting the first question.
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Technical interviews at top tech companies have a 70-80% rejection rate. The difference between candidates who pass and those who don't is almost always practice quality, not knowledge. This prompt turns GPT-4 into a realistic technical interviewer that adapts to your target company and level — unlimited practice without burning real interview opportunities.

💡 Pro Tips

  • For system design: actually draw the architecture on paper/whiteboard as the AI describes each component
  • For coding: use a real code editor and actually compile/run your solution
  • Tell the AI which company you're targeting — interview styles differ significantly (Google vs Amazon vs Stripe)

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References & Sources

  • OpenAI GPT-4 Prompt Engineering Best Practices
  • Anthropic Claude Prompt Design Guide
  • Google Gemini Prompting Strategies
  • ATS Resume Parsing Standards (Workday, Greenhouse, Lever)
  • LinkedIn Recruiter Search Algorithm