Codility - 2026 Pricing, Features, Reviews & Alternatives

Codility is a technical assessment and AI skills assessment platform built on documented assessment science, helping enterprises hire and develop people with defensible evidence. AI has changed the work in engineering and in every business function, and organizations need a reliable, fair, and auditable read on who can build software and who can deliver real work with AI in the loop. Codility provides that signal across candidates and the teams you already employ.

Methodology you can defend

Every Codility assessment is designed by occupational psychologists and mapped to the Codility Engineering Skills Model, which covers 30 skills and 180 subskills across five categories, maps to SWEBOK v4, SFIA v9, and O*NET, and is validated by engineering leaders. A technical manual structured to APA standards documents how scores are produced, and adverse impact is monitored at every measured cut score. When someone asks how a result was reached, you have the answer.

Technical screening at scale

Screen candidates with real work simulations drawn from 1,300+ tasks across 80+ programming languages and frameworks, including Java, Python, JavaScript, TypeScript, C#, Go, SQL, React, Spring Boot, Kubernetes, and Terraform. Task types span real-life project work, algorithmic problems, coding, SQL, and multiple choice. Automatic scoring on selected tasks gives every candidate the same objective measure and shortlists strong engineers faster.

Structured technical interviews

Run live coding interviews in a real shared VS Code environment with terminal, sidecar services, a whiteboard, and a full transcript. Structured rubrics and pair programming help every interviewer evaluate the same way, so senior and high-stakes hires get a fair, repeatable read.

Advanced AI capabilities

Codility assesses how people work with AI, and uses AI to run the assessment program. AI-native tasks embed an AI assistant in the work itself, including tasks where the assistant makes deliberately seeded mistakes the candidate has to catch and correct, surfacing judgment about AI output. An AI Copilot runs inside the VS Code environment. The in-assessment AI Assistant is enabled or disabled per assessment, and every candidate interaction is captured as reviewable AI activity. AI Follow-Up Questions check whether a candidate understands the code they submitted, and are deliberately not scored to avoid introducing bias.

AI skills assessment for business roles

AI for Business extends the same methodology beyond engineering. Candidates and employees in marketing, sales, finance, operations, customer support, and product roles complete real work simulations alongside the AI Assistant, producing a real deliverable that is scored deterministically against an answer space defined by experts, so no AI grades AI. General tasks run for any employee in any function, giving organizations a verified AI skills baseline across the whole workforce.

Skills Intelligence for the teams you have

Assess the technical skills of your existing engineers on the same methodology you use to hire. Surface skills gaps, compare proficiency across teams, and guide staffing, internal mobility, and targeted training.

Fairness, integrity, and trust

Codility meets the EEOC four-fifths threshold at every measured cut score, and a cApStAn linguistic audit supports fairness for non-native English speakers. Layered integrity controls and deterministic risk scoring give you reviewable evidence and human accountability, and an explicit EU AI Act posture means no AI or machine learning makes automated hiring decisions.

Enterprise-ready

Codility integrates with Greenhouse, Lever, Workday, SmartRecruiters, and 80+ ATS and HRIS systems, with SSO via SAML 2.0 and API access. It meets SOC 2 Type II, ISO 27001, GDPR, CCPA, and WCAG 2.2 AA requirements. One evaluation model, from external candidate to internal teams, with the evidence to defend every decision.