Technical Interview Platform

Part of the worlds-biggest-software-project initiative.

An AI-native, open-source platform for live coding, system design whiteboarding, and automated evaluation in technical hiring.

Technical Interview Platform is a collaborative workspace for engineering hiring teams to run live coding sessions, system design discussions, and structured assessments. It targets engineering hiring managers, technical recruiters, and developer relations teams who need a transparent, AI-augmented alternative to opaque commercial SaaS tools. The platform combines real-time coding, video, whiteboarding, and automated evaluation into a single workflow.

Why Technical Interview Platform?

Incumbent pricing is opaque and steep at scale — CoderPad and iMocha offer enterprise-only quotes, while HackerEarth starts at ~$169/mo and per-interview credit models make cost forecasting difficult.
System design whiteboarding remains the weakest feature area across all incumbents, with most platforms shipping basic diagram boards rather than first-class architecture tools.
No open-source alternative exists in this space; all nine major solutions reviewed (CoderPad, Codility, iMocha, HireHunch, HackerEarth, CodeInterview.io, InCruiter, TechInterview.live, Playcode.io) are proprietary SaaS.
Automated evaluation is fragmented — Codility leads on correctness scoring but lacks soft-skills assessment, while InCruiter claims AI scoring with limited public proof points.
Bias detection in interviewer behaviour, adaptive difficulty, and AI-generated problem variants are absent from every reviewed incumbent.

Key Features

Collaborative Live Interview Workspace

Real-time collaborative code editor supporting 10+ major languages (Python, JavaScript, Java, Go, C++)
Live HD video conferencing with screen sharing and speaker detection
Collaborative whiteboard (Excalidraw or custom) for system design discussions
Code execution and immediate output via integrated compiler/REPL
Session recording with playback for asynchronous review

Evaluation and Scoring

Structured evaluation rubrics, interviewer notes, and feedback forms
Automated code evaluation for correctness and time complexity
AI-generated interview summaries covering technical and soft-skills dimensions
Multi-interviewer panel support for up to 5 simultaneous interviewers
Candidate anonymisation option to reduce bias during review

Assessment Library and Async Modes

Pre-built problem library spanning multiple skill levels
Asynchronous take-home interview mode with submission and review workflow
AI-generated problem variants at different difficulty levels to prevent answer leakage
Natural-language problem search for matching questions to hiring needs

Enterprise, Security, and Integration

ATS integration with Workday, Greenhouse, Lever, iCIMS, and Workable via REST and webhooks
SOC 2 Type II compliance and end-to-end encryption
AI proctoring with tab-switching, dual-face/voice, and device detection
Interview history and audit trails for compliance
Role-based access for interviewer, candidate, and observer roles

AI-Native Advantage

The platform embeds AI throughout the interview lifecycle rather than bolting it onto a legacy assessment engine. A real-time AI co-interviewer surfaces follow-up questions based on the candidate's code choices, while automated post-interview reports score code quality, problem-solving approach, and edge-case coverage with specific evidence drawn from the session transcript. A bias detection layer analyses interviewer behaviour patterns — talk time ratio, question consistency across demographic groups — to flag potential structured-interview violations, a capability absent from every reviewed incumbent. Adaptive difficulty calibration and AI-generated isomorphic problem variants address answer leakage and skill differentiation in ways fixed-difficulty platforms cannot.

Tech Stack & Deployment

The platform is browser-based with no candidate-side installation, following the deployment pattern shared by every reviewed incumbent. Expected integration surfaces include REST and webhook APIs for ATS handoff (Workday, Greenhouse, Lever, iCIMS, Workable), Excalidraw or Mermaid-compatible diagram export for post-interview documentation, and Google Meet-style video integration. Compliance targets are SOC 2 Type II and WCAG 2.1 accessibility, both increasingly required by enterprise procurement.

Market Context

The global technical assessment and interviewing software market is estimated at approximately $800 million in 2026, growing at 12–15% CAGR. Incumbent pricing ranges from free tiers (CodeInterview.io, Playcode) to per-interview credits (~$15–$30/session) to enterprise seat licensing ($5,000–$50,000+/year). Primary buyers are engineering hiring managers and recruiting coordinators at mid-size to large technology companies, technical recruiters at staffing agencies, and HR technology buyers seeking to standardise hiring workflows.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.