Hack
To combat the heighten concerns around how one can prevent selecting candidates who could have possibly taken help of Generative AI tools while attempting tests, we have strengthened our reporting with an additional code quality indicator, namely AI Sense score.
AI Sense is an in-house algorithm that harnesses the power of generative artificial intelligence (AI) to sense and identify instances of AI-generated code. On top of the plagiarism score, which is available in CodeLysis reports, we now show an additional AI Sense score. This new score provides an indication of the likelihood of a candidate submitted code being generated using AI tools such as ChatGPT, Bard, or GitHub Copilot.
Generative AI: Transforming Question Generation from Reference Content
Introducing 2 new email templates for the Self-Nomination Flow!
Support for Meta and Sub Competencies in Evaluation Panel
Introducing survey Archival!
Support for C#12 on our backend coding environment
New Diagramming Plugin in Diagram Type Questions
Option to not send invitations while launching the survey!
Automated scheduling of reports with Feedback Seekers
Share Feedback Seekers’ reports with Debriefers or Coaches
Support for Java21 on our backend coding environment
Capability to anonymize relationship names in reports!
Schedule up to 10 reminder emails for a single survey
Individual Reports Download Scale Increase
Pre and Post 360-degree feedback survey analysis
New ‘Competency Synopsis’ section in Individual Reports
Behavioral Competencies
Cognitive Competencies
Coding Competencies
Domain Competencies
