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
SkillFoundry is a technical hiring assessment platform for teams evaluating engineers through repo-based tasks, trusted tests, behavioral evidence, and AI-orchestration scoring. It helps reviewers compare candidates against their own engineering bar and retain a documented basis for hiring decisions.
Technical hiring assessments for AI-assisted engineering
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.
Assessment and review capabilities
Evidence-backed scoring
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.
AI-orchestration scoring
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.
Team benchmarking
Hiring teams can compare candidates by percentile against their own engineers instead of relying only on an abstract external score.
Behavioral assessment reports
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.
Decision workflow and enterprise administration
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.
Practical hiring workflows
Evaluate software engineering candidates
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.
Assess AI-assisted development judgment
Give candidates a consistent environment in which AI assistance is allowed, and distinguish thoughtful direction and review from simply accepting generated code.
Set a team-specific hiring bar
Calibrate hiring decisions against the organization’s existing engineering bar by using team percentiles rather than interpreting an isolated score without local context.
Create an auditable hiring record
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.
Scale a structured assessment program
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.
Pros and Cons
Pros
- Assesses work in real repositories with tests and acceptance criteria rather than relying only on algorithm puzzles.
- Makes AI use part of the assessment without penalizing candidates simply for using an AI assistant.
- Provides reviewer-checkable evidence, session replay for orchestration scores, and decision briefs rather than an unexplained final number.
- Supports comparison against an organization’s own engineers through team benchmarking.
- Includes documented privacy and compliance controls, including logged reviewer adjustments, bias-audit tooling, configurable retention within fixed bounds, and deletion of live evidence within 48 hours on request unless a legal hold applies.
Cons
- The product’s evidence-based results become the primary score after a readiness review, so organizations may need to account for that review in rollout planning.
- The source material does not specify the full list of supported ATS integrations or all platform and setup requirements.
- Behavioral evidence and protected artifacts have default retention periods, which may require organizations to review retention and erasure settings against their policies.
FAQ
Can SkillFoundry be tried without a sales call?
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.
What does a candidate do during an assessment?
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.
What does an assessment report contain?
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.
Does using AI lower a candidate’s result?
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.
How are teams and candidate access structured?
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.
Quick Facts
- Category
- Technical hiring assessment software
- Primary users
- Hiring teams, interviewers, engineering leaders, and administrators
- Assessment format
- Repo-based, ticket-style tasks with trusted tests
- AI evaluation
- AI-orchestration scoring with reviewable session replay
- Benchmarking
- Percentile comparison against an organization’s own engineers
- Developer access
- Five free assessments on public tasks, then $10/month
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