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How to Detect AI Use in Technical Interviews: A Guide for Engineering Leaders image

AI Hiring

03.11.2026

A Practical Guide for Training Interviewers in the Human + AI Era AI use in technical interviews can be detected by observing candidate behavior, coding patterns, and reasoning during live interviews. Common signals include continuous screen switching, instant fully formed solutions, inconsistent explanations, and pasted code blocks.The most reliable approach is training interviewers to evaluate […]

How Karat’s Archetypes Standardizes Engineering Hiring in the AI Era image

AI Hiring

03.05.2026

AI has raised the stakes on every engineering hire. Most evaluation processes weren’t built for that. Here’s how the best engineering organizations are closing the gap. For most of the last decade, growing engineering capacity meant growing headcount. You hired aggressively, accepted some variance in quality, and assumed that volume and velocity would carry teams […]

AI legacy code modernization: why contractor governance must catch up image

AI Hiring

02.24.2026

AI-driven legacy modernization is quickly becoming a priority for financial services CIOs, but contractor governance frameworks have not kept pace. This week, two announcements signaled a structural shift for financial services technology leaders. Anthropic released a COBOL modernization playbook to accelerate mainframe transformation. At the same time, OpenAI unveiled its Frontier Alliances program with global […]

How to Assess AI Readiness in Technical Reviews image

Interview Insights

02.18.2026

Same-day technical interviews are transforming how software teams compete for top engineering talent. By enabling candidates to schedule and complete interviews within hours of receiving an invite, companies dramatically improve time-to-hire, offer acceptance rates, and candidate experience. Learn how Karat's global network of trained Interview Engineers delivers scalable, 24/7 interview coverage—and why this operational edge is critical in the race for AI and software engineering talent.

Human + AI technical interview rubrics image

Interview Insights

02.05.2026

Executive summary Five years ago, Karat published a resource on how to create structured scoring rubrics for technical interviews. That article remains one of our most-viewed and most-searched web pages. There are several reasons CIOs and CTOs keep coming back to this content. Rubrics put candidates on a level playing field, allowing leaders to review […]

 4 Mistakes to Avoid When Staffing a Global Capability Center (GCC) image

Global Hiring

02.03.2026

For modern CTOs and senior engineering executives, the mandate for Global Capability Centers (GCCs) has shifted. As noted in EY’s analysis of the sector, GCCs are no longer just cost-arbitrage plays; they are evolving into “AI-native enterprises” that lead global innovation. However, the transition from a skeletal satellite office to a high-performing innovation hub is […]

Contractor Engineer Quality: Why CIOs Are Raising the Bar on IT Service Provider Placements image

Contractor Hiring

01.28.2026

For most financial services organizations, software contractors aren’t optional. Whether it’s modernizing core systems, accelerating digital initiatives, or scaling delivery capacity, CIOs rely on IT Service Providers (ITSPs) to keep projects moving. But as many leaders have learned the hard way, contractor quality often fails to meet expectations. Last summer, Karat launched the first Partner […]

Why Technical Interviews Must Evolve in the AI Era image

AI Hiring

01.21.2026

AI is changing technical hiring by accelerating every stage of the funnel and making it harder to identify genuine software engineering skills from AI-assisted output. Candidates can now easily produce polished resumes and correct interview answers, even if they lack the necessary skills or knowledge. This degrades hiring signals and is forcing companies to rethink […]

The Growing Skills Gap in the AI Era – And How NextGen Identifies True Engineering Strength image

AI Hiring

01.14.2026

Conventional wisdom about AI’s impact on employees is that it acts as an equalizer. It’s expected to offset employees’ or skill gaps, but our data shows that isn’t the case for software engineers. AI is actually a multiplier. Strong engineers who can leverage AI are producing outsized value, which means the gap between them and […]

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