How to Assess and Screen for Future Talent in a Changing Technical Hiring Landscape

About

Hiring technical talent has become increasingly complex. The rise of AI assisted development, rapidly evolving tech stacks, and a highly competitive talent market are forcing organizations to rethink how they assess and screen candidates. Traditional resume reviews and generic technical tests often fail to identify candidates who can actually perform in real world engineering environments. 

In this session, Bayo Ojuri from CoderPad and talent strategy expert Kaylee Estes will explore how modern organizations can evolve their screening and assessment strategies to identify future ready technical talent. Attendees will learn how leading companies are combining structured screening, realistic technical evaluations, and improved candidate experiences to make better hiring decisions while reducing recruiter workload. 

The speakers will explore how AI is changing both candidate behavior and hiring practices, and what talent teams can do to ensure their assessment processes remain fair, scalable, and predictive of real job performance. 

In addition, the session will highlight practical frameworks for building a modern screening process that helps recruiters quickly identify qualified candidates while giving engineers the tools they need to confidently evaluate technical ability. The goal is to help talent acquisition teams reduce time spent on unqualified candidates while improving hiring outcomes and candidate experience. 

Attendees will leave with actionable strategies for designing smarter screening workflows, leveraging modern technical interview platforms, and preparing their organizations for the future of technical hiring.