Technical Interview Prep: System Design & Coding Practice Partner
Published: 2026-04-16
GPT-4 / Claude Opus 4 (GPT-4 recommended for coding accuracy)
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.Copied!
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