San Francisco – October 28, 2026 -- CodeSignal has made Agentic Skills Intelligence generally available. The platform scores employee proficiency from work done in systems such as Salesforce, GitHub and Workday, rather than from keyword scraping or self-ratings.
Specialized agents score live work against psychology-based rubrics
The agents evaluate output from tools including Gong, Salesforce, GitHub, Cursor, Claude, ChatGPT, Workday, Greenhouse and Google Workspace. They score it against structured rubrics grounded in industrial-organizational psychology, the method behind more than 21 million skill evaluations completed on CodeSignal. Each employee gets a profile that is continuously updated from real work, replacing performance reviews, self-ratings and course completions as the source of record.
The product connects to talent, HR, productivity and learning systems. Through CodeSignal's MCP server, teams can query skills and jobs data from the AI assistant of their choice.
Cosmo tutor targets identified skills gaps with contextual practice
Leaders get a view of skills gaps that could affect critical projects and company initiatives. Cosmo, CodeSignal's agentic tutor, then delivers contextualized practice in place of generic video courses. The platform tracks whether skills actually improve, so executives can document the impact of AI and learning investments.
It also reports how jobs are changing, based on skills that top performers demonstrate rather than on job descriptions. A market intelligence layer covers real-time hiring trends, including in-demand skills, top roles, pay bands and where demand is growing.
Industry analyst Josh Bersin, CEO of The Josh Bersin Company, said the platform adds evidence of how well people apply skills and links it to personalized development.
Survey finds 79% of organizations cannot measure ROI on AI spending
CodeSignal research points to a gap between investment and visibility. Six in 10 managers say they make critical talent decisions based on guesswork. Over the past year, 84% of organizations expanded AI software investments and 79% increased AI training, yet 79% cannot measure the ROI of that spending. Two-thirds of employees (66%) say their skills have never been formally assessed.
CodeSignal CEO and co-founder Tigran Sloyan said "the people decisions that matter most deserve real data."
Four use cases span AI transformation to workforce planning
For AI transformation, a CEO can see who is using AI well and who needs help, not just who is using it. For upskilling, a sales leader can identify reps who have mastered a new product pitch while tailored practice reaches the rest.
For resourcing, an engineering leader can find people with the right skills for an urgent project and assemble a group in days instead of weeks. For strategic planning, leadership teams can see where to develop current employees, where to hire and where AI tools can help teams get more done.