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.
Why TA and Engineering Leaders Are Solving Different Problems
Your CTO and your recruiter use the same words for “senior engineer” — and mean completely different people. Why intake misalignment drives most hiring failure downstream, and how to fix it before sourcing starts.
Read articleTalent 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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