CodeSignal today announced new agentic authoring capabilities in CodeSignal Learn, enabling organizations to create hands-on, job-relevant learning simulations using AI. The company said the new functionality is powered by Cosmo, CodeSignal’s AI agent, which can transform prompts or existing learning materials into interactive work simulations within minutes.
The latest enhancement aims to help learning and development (L&D) teams rapidly build practical training experiences across multiple formats, including coding exercises, conversations, writing tasks, spreadsheets, whiteboards, and flow diagrams.
As organizations face rapidly evolving workforce skill requirements, many L&D teams struggle to keep learning content relevant and effective. Traditional methods for creating hands-on learning experiences often require collaboration between instructional designers, subject matter experts, and role-play facilitators, resulting in long development cycles.
CodeSignal stated that Cosmo addresses these challenges by converting existing organizational content and learning objectives into interactive practice simulations that focus on applied skill development.
The company highlighted research from the National Training Laboratories Institute for Applied Behavioural Science (NTL), which found that applied practice with feedback can lead to significantly higher knowledge retention rates compared to passive learning methods such as video or audio-based training.
“Hands-on practice with feedback is what makes learning stick, but it's the hardest kind of learning content to build,” said Tigran Sloyan, co-founder and CEO of CodeSignal. “AI changes that. We've spent years building the process that turns practice into real skills, and now Cosmo brings that same rigor to every L&D team.”
CodeSignal said Cosmo is designed to generate realistic work simulations that reflect real-world job responsibilities and workflows. The AI agent can create learning experiences across several modalities based on the skill being developed.
Examples include:
The company stated that Cosmo also acts as the role-play counterpart during simulations while delivering rubric-aligned feedback throughout the learning process.
According to CodeSignal, the platform is powered by the company’s Talent Science team and grounded in industrial-organizational (I-O) psychology principles developed over more than a decade.
The system is designed to ensure that simulations align with real job requirements while rubrics measure observable performance outcomes. Organizations can also review and refine generated simulations, scoring rubrics, and learning modalities before publishing them internally.
CodeSignal said the combination of AI-driven content generation and human oversight helps enterprises maintain quality and consistency in workforce development programs.
The company outlined several ways organizations can use Cosmo within CodeSignal Learn:
L&D teams can upload presentations, documents, and existing course materials, which Cosmo converts into customized hands-on practice simulations.
Organizations can describe a learning objective or skill requirement in natural language, and Cosmo automatically creates the corresponding simulation scenario, modality, and assessment rubric.
The platform supports coding, writing, conversations, whiteboarding, and other job-relevant learning formats, allowing organizations to tailor practice environments to specific roles and workflows.
Learners can independently request practice sessions directly within their workflows, including presentation rehearsals, framework reviews, or draft evaluations, without waiting for formal content development cycles.
CodeSignal stated that the new capabilities are now available as part of CodeSignal Learn, enabling organizations to significantly reduce the time required to create experiential learning programs.
CodeSignal is how the world discovers and develops the skills that will shape the future. Our AI-native skills assessment and experiential learning platform helps organizations hire, train, and grow talent at scale while empowering individuals to advance their careers.
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