{
  "profile": "deadnodes-llm-static-v1",
  "source": "src/i18n/translations.js:seoLandings.live-coding-interview-platform",
  "lang": "en",
  "route": "/live-coding-interview-platform",
  "canonical_url": "https://deadnodes.com/en/live-coding-interview-platform",
  "llm_url": "https://deadnodes.com/llm/en/live-coding-interview-platform.json",
  "title": "Live Coding Interview Platform | Code Playbook",
  "description": "Live coding interview platform with Code Playbook exercises, technical tasks, candidate meetings, notes, transcript context, and AI review.",
  "eyebrow": "Live coding interviews",
  "subtitle": "Run live coding and technical reasoning sessions with interview evidence.",
  "lede": "Deadnodes Code Playbook gives interviewers a structured live coding workspace for pseudocode, debugging, scripts, architecture questions, candidate notes, and AI-assisted review.",
  "hero_bullets": [
    "Code Playbook workspace",
    "Live interviewer collaboration",
    "Reusable exercise templates",
    "AI-ready session evidence"
  ],
  "comparison": {
    "left_title": "Shared docs for live coding",
    "left_items": [
      "No candidate workflow",
      "No task context",
      "Weak evidence after the call",
      "Disconnected from hiring notes"
    ],
    "right_title": "Deadnodes Code Playbook",
    "right_items": [
      "Candidate session workflow",
      "Structured exercises",
      "Meeting and notes connected",
      "AI-assisted summary"
    ]
  },
  "sections": [
    {
      "title": "Give a real task during the interview",
      "body": [
        "Run focused exercises for debugging, small scripts, automation, architecture tradeoffs, or reasoning through unfamiliar code."
      ],
      "bullets": ["Debugging tasks", "Automation scripts", "Architecture questions"]
    },
    {
      "title": "Watch the candidate reasoning",
      "body": [
        "For DevOps and platform roles, combine live coding with a terminal troubleshooting task to see both reasoning and recovery behavior."
      ],
      "bullets": ["Terminal + Code Playbook", "Candidate context", "Interviewer notes"]
    },
    {
      "title": "Use AI to draft the review",
      "body": [
        "The work stays connected to candidate profile, meeting transcript context, and AI analysis so the team can make a better decision."
      ],
      "bullets": ["Session history", "AI report", "Follow-up prompts"]
    }
  ],
  "cta": {
    "primary": "Open interview section",
    "primary_href": "/interview",
    "secondary": "Contact us",
    "secondary_href": "/contacts",
    "note": "Code Playbook is part of the Interview workflow.",
    "footer_title": "Need live coding with better evidence?",
    "footer_subtitle": "Use Code Playbook to run structured coding and reasoning exercises inside technical interviews.",
    "footer_primary": "Explore Interview plan",
    "footer_primary_href": "/pricing",
    "footer_secondary": "Open interview section",
    "footer_secondary_href": "/interview"
  },
  "text": "Live Coding Interview Platform | Code Playbook\nRun live coding and technical reasoning sessions with interview evidence.\nDeadnodes Code Playbook gives interviewers a structured live coding workspace for pseudocode, debugging, scripts, architecture questions, candidate notes, and AI-assisted review.\nCode Playbook workspace\nLive interviewer collaboration\nReusable exercise templates\nAI-ready session evidence\nShared docs for live coding\nNo candidate workflow\nNo task context\nWeak evidence after the call\nDisconnected from hiring notes\nDeadnodes Code Playbook\nCandidate session workflow\nStructured exercises\nMeeting and notes connected\nAI-assisted summary\nGive a real task during the interview\nRun focused exercises for debugging, small scripts, automation, architecture tradeoffs, or reasoning through unfamiliar code.\nDebugging tasks\nAutomation scripts\nArchitecture questions\nWatch the candidate reasoning\nFor DevOps and platform roles, combine live coding with a terminal troubleshooting task to see both reasoning and recovery behavior.\nTerminal + Code Playbook\nCandidate context\nInterviewer notes\nUse AI to draft the review\nThe work stays connected to candidate profile, meeting transcript context, and AI analysis so the team can make a better decision.\nSession history\nAI report\nFollow-up prompts",
  "content_hash": "sha256-7d7353d0555007a3c77b5e045379fdf88d515c7a19ed8788e937e317a1dc085c"
}