Stealth Mode for Software Engineers

How It Works for Coding Interviews

When your interviewer describes a coding problem, PrepPilot's hands-free detection captures and transcribes the problem statement in real time. Once the interviewer finishes speaking (detected by a 1.5-second silence), the AI generates a complete solution approach that appears on the invisible overlay.

The AI response for coding problems typically includes the optimal algorithm approach with a brief explanation, the time and space complexity analysis, edge cases to consider, and a code skeleton you can reference while writing your solution. The overlay does not generate complete copy-paste solutions because that would not help you in a live coding session. Instead, it provides the algorithmic thinking and structure you need to write the code confidently yourself.

Screen Sharing During Coding Exercises

Most coding interviews require you to share your screen while working in a coding environment like CoderPad, HackerRank, or a plain IDE. PrepPilot's overlay remains invisible during screen sharing because it uses OS-level display protection. The interviewer sees only your coding environment and your typed code. The overlay sits on top of your screen in your physical view but does not exist in the captured frame.

For a detailed explanation of how this works across Zoom, Google Meet, and Microsoft Teams, see our platform-specific guides.

System Design Interview Coaching

System design interviews are the most challenging round for many software engineers because they are open-ended and require both breadth and depth. PrepPilot helps by generating structured responses that guide you through the standard system design framework:

1. Requirements clarification: The AI suggests clarifying questions to ask about scale, features, and constraints.
2. High-level architecture: Suggested components, services, and how they connect.
3. Detailed design: Database schema suggestions, API endpoint designs, and data flow descriptions.
4. Scalability: Caching strategies, load balancing approaches, database sharding, and CDN placement.
5. Trade-offs: Consistency vs. availability, latency vs. throughput, and cost vs. performance analysis.

When the interviewer asks follow-up questions like "How would this handle 10x the traffic?" or "What happens if this service goes down?", the AI generates responses that address the specific follow-up within the context of your existing design discussion.

Recommended AI Models for Dev Interviews

• Claude Opus 4.6: Best for system design and complex algorithmic problems. Most detailed and nuanced responses. Use this for senior and staff-level interviews.
• Claude Sonnet 4.6: Excellent balance for most coding interviews. Fast enough for real-time use with high-quality code generation.
• GPT-5.3: Strong alternative for coding problems, especially in Python and JavaScript. Good at explaining algorithmic approaches step by step.
• Claude Haiku 4.5: Fastest response time. Ideal for phone screens with rapid technical trivia questions where speed matters most.

What Companies Use Which Interview Formats

Understanding the interview format at your target company helps you prepare effectively. PrepPilot handles all of these formats through its real-time coaching:

• FAANG/Big Tech (Google, Meta, Amazon, Apple): 2-3 coding rounds + 1 system design + 1 behavioral. Heavy emphasis on algorithms and data structures.
• Startups (Series A-C): Often a take-home assignment followed by a live pair programming session. More practical, less algorithmic. See our startup interview guide.
• Enterprise (Microsoft, Oracle, Salesforce): Structured rounds with coding, system design, and cross-functional collaboration scenarios.
• Fintech and Trading Firms: Algorithm-heavy with emphasis on optimization and low-latency systems. See stealth mode for finance.