Codility
Technical recruiting and coding assessments
Codility rebuilds technical assessment around the AI-era engineer
◆Recent moves
- 1mo ago
How we hold ourselves to the SIOP standard for AI-based assessment
A conference-recap post on holding AI-based assessment to SIOP validity standards. Thought-leadership positioning that reinforces the AI-assessment arc but isn't itself a product change.
View source ↗ - 4mo ago
AI Readiness Assessment: Does Your Team Have the Skills They Need?
Introduces an AI Readiness assessment framework spanning four skill areas (AI Literacy, Evaluation, Application, Building) to find team skill gaps — a concrete extension of Codility's pivot toward measuring AI-era skills.
View source ↗ - 5mo ago
COMPASS: A Better Way to Evaluate AI Code Generation
⚡ SPARKCOMPASS is the research pillar of Codility's AI strategy: a benchmark that judges AI-generated code on correctness, efficiency, and quality, anchored to 393,150 human submissions across 50 problems — establishing Codility as an authority on evaluating, not just running, AI code.
View source ↗ - 5mo ago
Most AI Code Benchmarks Miss the Point. COMPASS Doesn’t.
The companion research announcement for COMPASS, arguing existing AI code benchmarks only test whether code works, not whether it scales under load or stays maintainable. Reinforces the same benchmark initiative rather than adding a separate capability.
View source ↗ - 5mo ago
Detecting AI Cheating: How to Protect Technical Assessment Integrity
Addresses the defensive flip side of AI in hiring: detecting AI-generated code, verifying candidate identity, and protecting assessment integrity. A real capability area that complements the AI-skills push.
View source ↗ - 8mo ago
AI Copilot: Assess AI Skills During Codility Technical Interviews
⚡ SPARKAI Copilot brings real-time AI-assisted coding into Codility technical interviews, letting employers assess how candidates work with AI rather than only their unaided coding — the clearest expression of the platform's pivot.
View source ↗