CoderPad
Technical hiring platform for live coding interviews and AI-era skills assessments
About CoderPad
CoderPad is a technical hiring platform for screening and interviewing developers with real-world coding tasks. Teams run live collaborative coding interviews in a multi-file IDE, send auto-scored take-home screens, and pre-screen applicants with async video. Recent plans add AI assistants and CLI agents such as Claude Code and Codex inside the pad, with every prompt captured so interviewers can see how candidates work with AI.
Pros & Cons
Pros
- Clean, easy-to-use collaborative IDE that candidates and interviewers pick up quickly
- Supports 40+ languages and frameworks, so one tool covers many tech stacks
- Realistic multi-file tasks give better signal than algorithm quizzes
- Lets candidates use AI and CLI agents in the pad while capturing prompts for review
- Unlimited users on every plan
- Strong integrity tooling: code playback, recording, proctoring and cheating alerts
Cons
- Interview and test caps per plan, with $30 charged for each additional session
- Agentic interviews and frontier models require the $1,000/mo Frontier Lite tier or above
- Some reviewers find the IDE lighter than a full local editor, with limited autocomplete
- Fixed assessment timers can feel stressful for candidates
- Expensive for small teams that hire only occasionally
Key Features
Live collaborative IDE
Real-time pair-programming interviews in a multi-file environment supporting 40+ languages and frameworks, with built-in interviewer tools.
CoderPad Screen
Asynchronous coding assessments and take-homes built around realistic engineering tasks, with autograding and scoring thresholds.
Qualify video screening
Top-of-funnel async video responses reviewed by an AI evaluator that turns applicants into a ranked shortlist.
AI Assist in the pad
An LLM runs inside the interview pad with code context, and every candidate prompt is captured for playback and review.
Claude Code and Codex agents
Higher tiers run real CLI agents inside the pad, with multiple agents side by side, to assess agentic development skills.
Question library
From 400+ questions on Starter to 4,000+ on Enterprise, plus custom questions and an AI Project Designer for role-specific projects.
Cheating detection
Code playback, session recording, webcam proctoring with AI behavior analysis, and real-time cheating alerts.
AI summaries and transcripts
AI-generated interview summaries and a note-taker transcript for recruiters and engineers.
ATS integrations
Connects with Greenhouse, Lever, Ashby, Workday and other ATS and scheduling tools, plus SSO/SAML and API access on Enterprise.
Digital whiteboard
A whiteboard for system design and architecture discussions during interviews.
Pricing
- Billed annually ($120/mo monthly)
- 60 interviews/year annually or 5/month monthly
- $30 per additional test or interview
- AI-assisted interviews in every pad
- 400+ question library
- 10 custom questions
- Unlimited users
- Billed annually ($500/mo monthly)
- 360 interviews/year annually or 30/month monthly
- $30 per additional test or interview
- Everything in Starter
- 1,400+ question library
- 100 custom questions
- Take-homes and auto-scored screens
- Billed annually
- 360 interviews/year
- $30 per additional test or interview
- Everything in Team
- Agentic interviews with Claude Code and Codex in the pad
- Frontier models (Opus-class, GPT flagship, Gemini Pro)
- AI Project Designer
- AI summaries and interview transcripts
- Frontier AI package with up to 4 agents at once
- 4,000+ question library and unlimited custom questions
- Pre-screen thousands of applicants
- Webcam proctoring and real-time cheating alerts
- SSO/SAML, API access and ATS integrations
- Dedicated CSM and interviewer training
Best For
Live technical interviews
Engineering teams run pair-programming sessions in a shared IDE to assess coding and communication together.
High-volume developer screening
Recruiters send auto-scored coding screens to many applicants and shortlist the top performers.
Assessing AI fluency
Hiring teams watch how candidates prompt and validate AI assistants and agents on realistic tasks.
Standardizing global hiring
Companies hiring across countries use shared question libraries, rubrics and workspaces for consistent evaluation.
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