Hire Confidently in the Age of AI
CoderPad enables AI-aware, realistic assessments that measure how candidates actually work with modern AI tools—so you get stronger signal, fairer evaluations, and faster decisions without encouraging “no-AI” test behavior.
Key Outcomes for AI-Enabled Hiring
- Assess Real AI-Augmented Skills Evaluate prompt crafting, tool selection, and output verification within multi-file projects that mirror real development work.
- Integrity Without “AI Abstinence” Open-ended, project-based challenges are hard to solve with simple prompts, while monitoring tools maintain integrity without blocking AI outright.
- Faster, Higher-Signal Screening Auto-graded projects and keystroke playback surface true problem-solving and set up richer live interviews with shared context.
- Better Candidate Completion Engaging, gamified experiences achieve 96%+ test completion, keeping more top talent in your funnel.
- Lower Interview Load Customers cut engineering interview time by ~33% by standardizing on realistic projects and interviews with context.
Solve your Top Challenges in AI-Enabled Hiring
AI-Enabled Hiring Challenges | CoderPad Solutions |
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AI can instantly solve MCQs and single-file puzzles | Multi-file, real-world projects that are AI-resistant and reveal actual capability. |
“No-AI” test environments feel fake and unfair | Balanced approach: allow AI use, evaluate how it’s used; monitor with code playback, proctoring, and similarity checks. |
Fragmented screen → interview flow loses context | Unified workflow from auto-graded project to live “interview with context,” powered by AI insights. |
Low engagement and high drop-off | Realistic, engaging environments and gamified tests drive 96%+ completion. |
Hard to operationalize at scale | Built for high volume with auto-grading, dashboards, and ATS/scheduling integrations. |
Core Features for AI-Enabled Hiring
- AI-Integrated Projects Assess how candidates prompt, troubleshoot, and validate AI outputs inside a closely monitored IDE that supports AI tools.
- Realistic, Multi-File Environments Projects reflect real workflows and set up deeper live interviews—auto-graded with keystroke playback and optional video/audio explanations.
- Integrity Toolkit (Cheat Mitigation & Detection) Code similarity checks, IDE exit tracking, randomized questions, and AI-assisted webcam proctoring.
- Unified Screen → Interview Flow Send an async project, then discuss and extend it live—consistent candidate experience and aligned signals across stages.




Proven Results from AI-Enabled Hiring Teams
Reduced engineering interview time by one-third and doubled interview throughput year-over-year by moving to realistic projects.
Standardized the process and extended 8× more offers while scaling dev headcount.
Improved experience and increased candidates remaining in funnel by 25%.
+96% screening test completion rate
33% reduction in engineering interview time
4,000+ customers across 165 countries
FAQs
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Candidates use AI in realistic, multi-file projects; you see prompting, tool selection, and how well they verify/repair AI output.
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Projects are hard to solve with a single prompt, and we add monitoring like code playback, similarity checks, and webcam proctoring as needed.
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Yes. Auto-grading and dashboards support thousands of concurrent tests for high-volume programs.
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Screen with a project, then discuss and extend it live in Interview—one platform, one flow, with AI insights.
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We integrate with a number of ATS and scheduling vendors to trigger tests and create interviews.
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SOC2, GDPR, DPF, CCPA; SSO/MFA; AES-256 encryption; regular pen-testing and vulnerability scans.