Recruiter-grade thinking on hiring — from both sides of the table.
Field notes from twenty years inside hiring at Skype, Avast, Barclays and Kiwi.com — practical for talent leaders building systems, and for candidates who want to stop getting filtered out.
Talent Engineering vs Traditional Recruiting: The 2026 Comparison
Agencies sell transactions; Talent Engineering builds owned systems. A metric-by-metric comparison of cost, speed, ownership, quality, and scalability for CTOs and engineering leaders in 2026.
Read articleBeyond Prompt Engineering: Why Cognitive Engineering Is High Value for AI in Recruitment and Beyond (2026)
Prompt libraries got us started — cognitive engineering is what makes AI reliable in high-stakes hiring. Pattern recognition, mental simulation, and calibrated confidence vs keyword matching at scale.
Read articleThe Broken Talent Acquisition System Exposed: Why AI Is Forcing a Revolution in How Companies Hire
Hundreds of applications, weeks without a clear winner, and the best talent never surfacing — AI is not breaking hiring, it is scaling flaws that were already there. Why Talent Engineering is the answer.
Read articleTech Job Market Trends 2026: What to Expect, Key Skills to Focus On, and How to Prepare as a Job Seeker
AI agents up 627% year-over-year, Czech hiring optimism at a record Q1, Slovakia cautious but IT resilient — a data-driven roadmap for tech job seekers in CEE and beyond.
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