Recruiter-grade thinking on hiring — from both sides of the table.
Field notes from twenty years placing engineers into Skype, Avast, Barclays and Kiwi.com as an external recruiter — practical for talent leaders building systems, and for candidates who want to stop getting filtered out.
The AI Job Market Report You Should Read
What twenty years of placing senior engineers tells us about what is actually happening — and what to do if you are on either side of the split.
Read articleEveryone Is Automating the Wrong Thing. Especially in Hiring!
The difference between task replacement AI and system replacement AI — and why it matters for every TA leader hiring engineers right now. Most AI spend in TA accelerates a broken reactive funnel instead of replacing it.
Read articleWhy 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 articleWhen Recruitment Turns Into Exploitation – Part 2: The 2026 Scams That Are Targeting Developers Specifically
Developer-targeted hiring scams in 2026 have evolved beyond fake recruiters — from GitHub malware disguised as technical interviews to deepfake video calls and pay-to-proceed schemes that arrive after multiple interview rounds. Here is what software engineers need to know before their next recruiter DM.
Read articleThe Recruitment Scams That Look Exactly Like Real Jobs — And How to Spot Them in 2026
Recruitment fraud in 2026 looks indistinguishable from real hiring — multi-round interviews, polished personas, and detailed role briefs. Here is how to spot the red flags, understand your legal protections, and protect yourself.
Read articleAI in Hiring 2026: Why You Should Be Careful Before Trusting It With Your Career (or Your Team)
A major EPFL and Max Planck study reveals that even top AI models hallucinate on most hard questions — with serious implications for job seekers polishing applications and hiring teams screening at scale. Here is how to use AI tools with clear eyes in 2026.
Read articleHow Overloaded TA Teams Deliver 3x More Hires (Without Extra People)
Overloaded TA teams aren't failing from lack of skill — they're drowning in machine-scale volume with systems built for a slower era. Here is how structured Talent Engineering infrastructure helps teams deliver dramatically more hires without adding headcount.
Read articleFrom Agency Fees to Owned Infrastructure: The 2026 Talent Acquisition Reset
Agency fees still run 20–28% for senior technical hires — but the economics of hiring have shifted. Why 2026 is the year companies move from renting candidates to owning talent infrastructure.
Read articleAI in Talent Acquisition 2026: From Tactical Noise to Strategic Precision
AI adoption in talent acquisition has surged past 43% — but faster screening is not the same as better hiring. The teams winning in 2026 use AI for stage-level precision, not tactical noise at the top of the funnel.
Read articleThe Principal IT Talent Black Hole: Why Companies Can't Find Them (And How Talent Engineering Closes It)
The hardest roles to fill in 2026 are principal engineers and senior specialists — not because the talent doesn't exist, but because standard job boards and agency searches cannot reach passive candidates who never raise their hand.
Read articleWhy Job Boards Are Dying — And What's Replacing Them in 2026
Job boards still deliver volume for senior technical roles — but rarely relevance. In 2026, owned pipelines and proactive talent infrastructure are replacing public postings as the primary channel for hires that actually matter.
Read articleWhy 2026 Job Descriptions Are the New Bottleneck — And How to Fix Them
Vague JDs attract the wrong candidates, get filtered by ATS, and drive mis-hires. Why calibrated job descriptions are the highest-ROI fix in technical hiring this year.
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.
Read articleBig Tech Layoffs in 2026: Microsoft Denies AI Cuts, While Amazon and Meta Deepen Reductions
Over 30,700 tech layoffs in the first seven weeks of 2026 — record AI investment alongside workforce recalibration. What job seekers should read from Microsoft, Amazon, Meta, and the broader market.
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