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Meta Now Lets You Use AI During Coding Interviews

Meta (formerly Facebook) is breaking new ground by allowing coding job candidates to use AI assistants during interviews—a significant shift in how big tech assesses engineering talent. Here’s what this means for engineers, interview prep, and the evolving role of AI in software development.

AI coding interview

What's Changing?

According to internal Meta communications, the company is rolling out an experimental interview format where candidates can leverage an AI assistant—similar to tools like Copilot or ChatGPT—while solving coding challenges. This is a big deal for both job seekers and hiring teams:

  • Interview Environment Matches Real Work: Most engineers now use AI daily. Meta aims to simulate realistic developer workflows instead of artificially restricting tooling.
  • Reduces Simple "Cheating": By providing a standard AI tool to everyone, Meta levels the playing field, reducing the arms race of hidden browser plugins or covert AI usage.

Why Is Meta Doing This?

Meta CEO Mark Zuckerberg has publicly stated that coding with AI—sometimes called “vibecoding”—is quickly becoming the norm. In his words, “AI coding agents” may soon operate as mid-level engineers, producing most of the code for Meta apps and infrastructure. This means:

  • Engineers Will Manage AI, Not Just Code: You'll be expected to prompt, debug, and orchestrate AI-written code, not just write everything by hand.
  • Creativity and System Design Matter More: The “human” work shifts toward system architecture, creative problem-solving, and understanding business needs, not rote algorithm translation.

What Should Software Engineers Do?

If You’re Interviewing at Meta (or Similar Companies)

  1. Practice Prompt Engineering: Get comfortable guiding AI tools to generate clean, correct code. Your ability to decompose a problem and prompt effectively will be evaluated.
  2. Debugging is Crucial: AI code isn’t perfect. Be ready to spot and fix subtle bugs or incomplete logic. Interviewers may test your “AI troubleshooting” skills.
  3. Understand the AI’s Limits: Know where AI tends to hallucinate, misunderstand specs, or miss edge cases. Preempt these with good test cases.
  4. Show Your Thought Process: Don’t just accept AI output. Explain tradeoffs, why you agree or disagree with the assistant’s approach, and how you’d validate the solution in production.

Tips & Tricks for AI-Assisted Interviews

  • Use AI as a Copilot, Not a Crutch: Treat the assistant as a pair programmer—drive the solution, but let AI handle boilerplate and syntax.
  • Iterate on Prompts: If the AI output is subpar, refine your query—this is a key modern skill.
  • Keep Your Fundamentals Sharp: You’ll still need strong computer science basics to steer AI and catch its mistakes.
  • Be Transparent: If asked, talk through how you’re using the tool, your process, and where you’d want human review in real engineering work.

The Bigger Picture: AI Is Here to Stay

Meta’s move signals a new era in software engineering:

  • AI-First Interviewing Is Coming: Expect other companies to follow Meta’s lead. Interviews may focus less on syntax recall and more on AI collaboration and critical thinking.
  • Prompt Engineering Will Be a Core Skill: Top engineers will be those who can best direct, critique, and extend AI systems.
  • New Career Pathways: “AI orchestrator,” “prompt engineer,” and similar roles are rapidly emerging.

Concerns & Controversy

Some in the engineering community worry that new hires may become “AI prompters” rather than well-rounded software engineers. The real differentiator? Engineers who can:

  • Debug and improve AI-generated code
  • Explain how and why something works
  • Build systems and solve problems beyond what AI can do alone

Final Thoughts

Whether you’re job hunting or leading an engineering team, it’s time to adapt:

  • Embrace AI as a force-multiplier, not a replacement.
  • Invest in your creative, debugging, and system design skills.
  • Stay curious about how AI will reshape the craft of software engineering.

Welcome to the next era of engineering interviews—and engineering itself.


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