How Generative AI Is Reinventing the Technical Interview
We recently upgraded our intern technical assessment — and the results changed how I think about what a good hiring process should actually test.
The task: within 60 minutes, build a static website that introduces yourself and explains OpenAI’s prompt engineering guide, using both LLM assistance and front-end development skills.
Three candidates. All three completed it. One submission was exceptional — clean HTML/CSS architecture, well-structured reusable prompt templates, and smart use of generative AI to produce the technical documentation.
What this format was actually testing:
- From information recall to applied tooling — can you ship something, not just explain it?
- From single correct answers to creative solutions — how do you approach an open-ended problem?
- From theoretical knowledge to real output — does your work create value?
In an era where AI tools are table stakes, the interview should probably reflect that. What matters isn’t what candidates know. It’s what they can build.
#GenerativeAI #InterviewDesign #DigitalTransformation
💬 Read more: 2025 Year in Review (English)
Are You Ready to Become an AI PM? A 5-Dimension Self-Assessment
This isn't a quiz about RAG or prompts — it asks: in real AI product scenarios, is your judgment ready? A 20-question skills check across 5 core dimensions to map your AI PM readiness.
When All the Roles Merge: Reflections on PM in the AI Age
Anthropic's Cat Wu describes a new PM rhythm in the AI era: roles merging, prototypes over docs, iteration in days not months. Reading it brought back memories of my own undefined role in an enterprise AI team—and Peter Deng's Avengers-style team philosophy.
Are You Ready to Become an AI PM? A 5-Dimension Self-Assessment
This isn't a quiz about RAG or prompts — it asks: in real AI product scenarios, is your judgment ready? A 20-question skills check across 5 core dimensions to map your AI PM readiness.
When All the Roles Merge: Reflections on PM in the AI Age
Anthropic's Cat Wu describes a new PM rhythm in the AI era: roles merging, prototypes over docs, iteration in days not months. Reading it brought back memories of my own undefined role in an enterprise AI team—and Peter Deng's Avengers-style team philosophy.