Repo-based technical tasks
Candidates work on ticket-style tasks in working repositories with tests and acceptance criteria, providing a closer representation of day-to-day engineering work than an isolated algorithm exercise.
SkillFoundry assesses engineers with repo-based tasks, trusted tests, behavioral evidence, and AI-orchestration scoring to support documented hiring decisions.
SkillFoundry is a technical hiring assessment platform for organizations evaluating engineers in the context of AI-assisted development. It uses repo-based, ticket-style tasks, trusted tests, behavioral evidence, and AI-use analysis to assess not only whether submitted code works, but how the candidate investigated the problem, directed AI, and verified the result.
The platform is designed to give hiring reviewers a decision record they can inspect. Results can include evidence-backed scoring, a replay of AI-orchestration activity, integrity signals, and a percentile comparison with the organization’s own engineers. Candidates are told what is captured, AI use is not penalized by itself, and missing evidence is not counted against them.
Candidates work on ticket-style tasks in working repositories with tests and acceptance criteria, providing a closer representation of day-to-day engineering work than an isolated algorithm exercise.
The platform links results to trusted test outcomes and session evidence. Missing evidence is reported rather than treated as a negative signal, and reviewers can inspect the basis for a score.
Copilot Command evaluates how candidates direct, review, and verify work produced with a controlled AI pair engineer. A reviewable session replay accompanies each orchestration score.
Hiring teams can compare candidates by percentile against their own engineers instead of relying only on an abstract external score.
Reports include behavioral signals and AI-use analysis, with dimensions such as problem solving, execution discipline, communication, risk management, tool mastery, and reliability represented in the published sample report.
The platform provides a decision brief with test results, AI judgment, integrity information, and team percentile. Enterprise plans also list ATS integrations, SSO/SAML, SCIM provisioning, compliance and bias-audit tooling, and workforce skill intelligence through macOS and Windows desktop agents.
Use a task modeled on the work the role requires, then review code correctness alongside investigation, verification, AI judgment, and other behavioral signals before advancing a candidate.
Give candidates a consistent environment in which AI assistance is allowed, and distinguish thoughtful direction and review from simply accepting generated code.
Calibrate hiring decisions against the organization’s existing engineering bar by using team percentiles rather than interpreting an isolated score without local context.
Provide interviewers or hiring managers with a decision brief and supporting evidence when a hiring decision needs a documented rationale for internal review or compliance processes.
Use custom tasks and templates, analytics, branding, and ATS integrations as the assessment program expands across a growing engineering organization; enterprise teams can add provisioning and compliance-oriented administration.
Yes. Organizations can create an account and run an assessment without a sales call. The Developer tier includes five free assessments on public tasks; after that, it costs $10 per month and can be canceled from the billing portal.
Candidates complete repo-based, ticket-style tasks in a real working environment. They can use the built-in AI assistant where the organization permits it, while the platform records relevant behavioral events, test runs, AI-assistant use, code changes, test reports, and protected transcripts.
Reports combine submitted-code grading with evidence about investigation, AI judgment, verification, integrity, and other behavioral dimensions. Reviewers can inspect the supporting evidence, and team benchmarking can express a result as a percentile against the organization’s own engineers.
Using AI is not penalized by itself. SkillFoundry evaluates how candidates direct and verify AI output, including whether they review proposals and make sound decisions about what to ship.
Team plans include organization seats for employees, interviewers, and administrators, while hiring candidates use a separate monthly invitation quota. Growth adds custom task and template creation, AI-orchestration scoring, team benchmarking, ATS integrations, and advanced analytics; Enterprise adds features such as SSO/SAML, SCIM provisioning, and unlimited seats and invitations.
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