Summary
This report presents findings on the impact of scoring on inclusion, candidate strengths, and programming language preferences in the hiring of software developers. It outlines the current demand for technical talent, noting that the number of open positions for software engineers is expected to grow significantly in the coming years. The report investigates how the selection of technical skills assessments can ensure fairness and drive inclusion, as well as the popularity of programming languages used in these assessments. Key findings indicate that automated scoring can improve hiring outcomes, particularly for female candidates. The report also details the preferences of candidates regarding programming languages, revealing trends in their popularity over the last three years. Methodology includes data from coding simulations involving over 655,000 candidates, highlighting the importance of using a variety of programming languages to enhance candidate engagement and improve hiring results. The analysis further categorizes the skills assessed and identifies areas where early career developers may need additional support.
