Engineering assessment research, system design patterns, hiring best practices, and lessons from evaluating thousands of developers.
We built a multi-LLM evaluation pipeline that uses three independent AI judges to assess code submissions. Here's how it works, what we learned, and why it beats single-model grading.
We built a multi-LLM evaluation pipeline that uses three independent AI judges to assess code submissions. Here's how it works, what we learned, and why it beats single-model grading.
Our analysis of 500+ engineering assessments reveals that resumes predict job performance with only 12% accuracy. Here's what works better.
After analyzing over 100 real code submissions, these 5 architectural anti-patterns appear in 73% of submissions from mid-level and senior engineers.
AI engineering is the fastest-growing discipline in software. But traditional coding assessments fail to measure what actually matters for AI/ML roles. Here's what we've learned from evaluating 50+ AI engineers.
Introducing the Engineering Passport — a portable, verifiable record of demonstrated engineering skill that replaces static resumes with live evidence.
Bypass ATS resume filters, complete a real-world coding evaluation, and get listed in the Taqeem talent pool that hiring teams can search for senior roles.
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Browse verified engineering candidates with multi-judge AI scoring, anti-cheat confidence metrics, and verified work samples.
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