According to a recent LinkedIn post from Checkr, the company is adapting its engineering hiring practices to reflect the growing role of AI in day-to-day development work. The post notes that 85% of Checkr’s code in Q1 2026 was generated by agents, yet prior interviews restricted candidates from using AI tools.
The LinkedIn post highlights that Checkr has redesigned its process to focus on “the job to be done,” including AI readiness checks and build exercises where AI use is encouraged. It also mentions in-person design conversations and an AI-free refactoring exercise aimed at assessing raw technical judgment.
For investors, the post suggests Checkr is attempting to align talent acquisition with its AI-heavy engineering workflow, which may support productivity and scalability as the platform grows. A more realistic evaluation of engineering skills in an AI context could also help the company attract and retain developers suited to its automation-centric environment.
This hiring approach may have cost and margin implications over time, as effective use of AI-generated code can reduce development cycles and potentially lower engineering overhead per feature delivered. It also positions Checkr competitively among tech firms that are integrating AI into core product development, signaling a willingness to update workforce practices alongside technology shifts.