In an era where AI can assist with coding challenges, 10X's solution is to make their take-home assignments exceptionally difficult. This approach immediately filters out 50% of candidates who don't even respond, allowing for a much faster and more focused interview process for the elite few who pass.

Chipotle CBO Chris Brandt filters candidates based on a simple, visceral question: 'Would you be willing to walk into a conference room with them at 5 PM on a Friday?' This test prioritizes collaborative spirit and cultural fit over pure skill, ensuring new hires won't disrupt team dynamics, even if they look good on paper.

With LLMs making remote coding tests unreliable, the new standard is face-to-face interviews focused on practical problems. Instead of abstract algorithms, candidates are asked to fix failing tests or debug code, assessing their real-world problem-solving skills which are much harder to fake.

Counterintuitively, being brutally honest with candidates about the low odds of success is a powerful recruiting filter. It selects for mission-driven individuals who are mentally prepared for the inevitable tough cycles of a startup, ensuring they won't quit when things get difficult.

A common hiring mistake is prioritizing a conversational 'vibe check' over assessing actual skills. A much better approach is to give candidates a project that simulates the job's core responsibilities, providing a direct and clean signal of their capabilities.

The most promising junior candidates are those who demonstrate self-learning by creating things they weren't asked to do, like a weekend app project. This signal of intrinsic motivation is more valuable than perfectly completed assignments.

Ditch standard FANG interview questions. Instead, ask candidates to describe a messy but valuable project they shipped. The best candidates will tell an authentic, automatic story with personal anecdotes. Their fluency and detail reveal true experience, whereas hesitation or generic answers expose a lack of depth.

The chaotic, underdog nature of a startup is a binary filter. Frame this reality honestly during interviews. The right candidate will be energized by the challenge, while the wrong fit will be stressed. This question quickly reveals cultural suitability.

Traditional hiring assessments that ban modern tools are obsolete. A better approach is to give candidates access to AI tools and ask them to complete a complex task in an hour. This tests their ability to leverage technology for productivity, not their ability to memorize information.