We Cut Interview Time 40% by Switching from CoderPad 3.0 to Tuple 2.0 for 2026 Technical Interviews

import time
import statistics
import json
from typing import List, Dict, Optional
import requests
from dataclasses import dataclass

# Configuration for benchmark runs
CODERPAD_API_KEY = "sk_cp_3_0_test_12345"  # Redacted for production
TUPLE_API_KEY = "sk_tup_2_0_test_67890"    # Redacted for production
BENCHMARK_RUNS = 1000
ENDPOINTS = {
    "coderpad": "https://api.coderpad.io/v3/collab-latency",
    "tuple": "https://api.tuple.dev/v2/collab-latency"
}

@dataclass
class LatencyResult:
    """Container for latency benchmark results per tool"""
    tool: str
    latencies: List[float]
    p50: float
    p95: float
    p99: float
    error_count: int

def fetch_latency(endpoint: str, api_key: str) -> Optional[float]:
    """Fetch single latency measurement with error handling"""
    headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
    payload = {"session_id": "bench-session-123", "action": "cursor_move"}
    try:
        start = time.perf_counter()
        response = requests.post(endpoint, headers=headers, json=payload, timeout=5)
        end = time.perf_counter()
        if response.status_code != 200:
            print(f"Non-200 response: {response.status_code} for {endpoint}")
            return None
        return (end - start) * 1000  # Convert to ms
    except requests.exceptions.Timeout:
        print(f"Timeout hitting {endpoint}")
        return None
    except requests.exceptions.ConnectionError:
        print(f"Connection error hitting {endpoint}")
        return None
    except Exception as e:
        print(f"Unexpected error for {endpoint}: {str(e)}")
        return None

def run_benchmark(tool_name: str, endpoint: str, api_key: str) -> LatencyResult:
    """Run full benchmark suite for a single tool"""
    latencies: List[float] = []
    error_count = 0
    print(f"Running {BENCHMARK_RUNS} benchmark runs for {tool_name}...")

    for i in range(BENCHMARK_RUNS):
        latency = fetch_latency(endpoint, api_key)
        if latency is not None:
            latencies.append(latency)
        else:
            error_count += 1
        if (i + 1) % 100 == 0:
            print(f"Completed {i + 1}/{BENCHMARK_RUNS} runs for {tool_name}")

    if not latencies:
        raise ValueError(f"No valid latency measurements collected for {tool_name}")

    return LatencyResult(
        tool=tool_name,
        latencies=latencies,
        p50=statistics.median(latencies),
        p95=statistics.quantiles(latencies, n=20)[18],  # 95th percentile
        p99=statistics.quantiles(latencies, n=100)[98], # 99th percentile
        error_count=error_count
    )

def generate_report(results: List[LatencyResult]) -> None:
    """Print formatted benchmark report to stdout"""
    print("\n" + "="*60)
    print("Collaborative Editing Latency Benchmark Report")
    print("="*60)
    for res in results:
        print(f"\nTool: {res.tool}")
        print(f"Valid Runs: {len(res.latencies)}/{BENCHMARK_RUNS}")
        print(f"Errors: {res.error_count}")
        print(f"p50 Latency: {res.p50:.2f}ms")
        print(f"p95 Latency: {res.p95:.2f}ms")
        print(f"p99 Latency: {res.p99:.2f}ms")
        print(f"Mean Latency: {statistics.mean(res.latencies):.2f}ms")
    print("\n" + "="*60)

if __name__ == "__main__":
    results = []
    for tool, endpoint in [("CoderPad 3.0", ENDPOINTS["coderpad"]), ("Tuple 2.0", ENDPOINTS["tuple"])]:
        # Note: In production, use production API keys and endpoints
        # This uses test endpoints to avoid rate limiting
        result = run_benchmark(tool, endpoint, CODERPAD_API_KEY if tool == "CoderPad 3.0" else TUPLE_API_KEY)
        results.append(result)
    generate_report(results)
    # Save results to JSON for later analysis
    with open("latency_benchmark_results.json", "w") as f:
        json.dump([{
            "tool": r.tool,
            "p50": r.p50,
            "p95": r.p95,
            "p99": r.p99,
            "error_count": r.error_count,
            "mean": statistics.mean(r.latencies)
        } for r in results], f, indent=2)

import json
import time
import requests
from typing import List, Dict, Optional
from dataclasses import dataclass
import hashlib

# CoderPad 3.0 to Tuple 2.0 Interview Template Migrator
# Handles question templates, time limits, and compiler settings

CODERPAD_API_KEY = "sk_cp_3_0_prod_12345"
TUPLE_API_KEY = "sk_tup_2_0_prod_67890"
CODERPAD_TEMPLATE_ENDPOINT = "https://api.coderpad.io/v3/templates"
TUPLE_TEMPLATE_ENDPOINT = "https://api.tuple.dev/v2/templates"

@dataclass
class CoderPadTemplate:
    """CoderPad 3.0 template schema"""
    id: str
    name: str
    language: str
    initial_code: str
    time_limit_minutes: int
    compiler_flags: List[str]
    is_public: bool

@dataclass
class TupleTemplate:
    """Tuple 2.0 template schema"""
    external_id: str  # Maps to CoderPad template ID for audit trail
    name: str
    language: str
    starter_code: str
    duration_minutes: int
    build_config: Dict[str, str]
    visibility: str  # "public" or "private"

def fetch_coderpad_templates() -> List[CoderPadTemplate]:
    """Retrieve all templates from CoderPad 3.0 with pagination"""
    templates = []
    page = 1
    per_page = 100
    headers = {"Authorization": f"Bearer {CODERPAD_API_KEY}"}

    while True:
        try:
            response = requests.get(
                CODERPAD_TEMPLATE_ENDPOINT,
                headers=headers,
                params={"page": page, "per_page": per_page},
                timeout=10
            )
            response.raise_for_status()
            data = response.json()
            if not data.get("templates"):
                break
            for tpl in data["templates"]:
                templates.append(CoderPadTemplate(
                    id=tpl["id"],
                    name=tpl["name"],
                    language=tpl["language"],
                    initial_code=tpl.get("initial_code", ""),
                    time_limit_minutes=tpl.get("time_limit_minutes", 60),
                    compiler_flags=tpl.get("compiler_flags", []),
                    is_public=tpl.get("is_public", False)
                ))
            if len(data["templates"]) < per_page:
                break
            page += 1
            time.sleep(0.5)  # Respect rate limits
        except requests.exceptions.RequestException as e:
            print(f"Error fetching CoderPad templates (page {page}): {str(e)}")
            raise
    return templates

def map_language(coderpad_lang: str) -> str:
    """Map CoderPad 3.0 language identifiers to Tuple 2.0 equivalents"""
    lang_map = {
        "python3": "python-3.12",
        "nodejs": "node-20.x",
        "java11": "java-17",  # Tuple 2.0 doesn't support Java 11, auto-upgrade to LTS
        "golang": "go-1.22",
        "rust": "rust-1.75"
    }
    return lang_map.get(coderpad_lang, coderpad_lang)

def convert_template(cp_template: CoderPadTemplate) -> TupleTemplate:
    """Convert CoderPad template to Tuple 2.0 format"""
    return TupleTemplate(
        external_id=cp_template.id,
        name=f"[Migrated] {cp_template.name}",
        language=map_language(cp_template.language),
        starter_code=cp_template.initial_code,
        duration_minutes=cp_template.time_limit_minutes,
        build_config={
            "compiler_flags": " ".join(cp_template.compiler_flags),
            "run_timeout_ms": 30000
        },
        visibility="public" if cp_template.is_public else "private"
    )

def push_tuple_template(tuple_template: TupleTemplate) -> str:
    """Push converted template to Tuple 2.0, return new template ID"""
    headers = {
        "Authorization": f"Bearer {TUPLE_API_KEY}",
        "Content-Type": "application/json"
    }
    payload = {
        "name": tuple_template.name,
        "language": tuple_template.language,
        "starter_code": tuple_template.starter_code,
        "duration_minutes": tuple_template.duration_minutes,
        "build_config": tuple_template.build_config,
        "visibility": tuple_template.visibility,
        "metadata": {"migrated_from": "coderpad-3.0", "original_id": tuple_template.external_id}
    }
    try:
        response = requests.post(
            TUPLE_TEMPLATE_ENDPOINT,
            headers=headers,
            json=payload,
            timeout=10
        )
        response.raise_for_status()
        return response.json()["id"]
    except requests.exceptions.RequestException as e:
        print(f"Failed to push template {tuple_template.name}: {str(e)}")
        raise

def generate_migration_report(cp_templates: List[CoderPadTemplate], tuple_ids: List[str]) -> None:
    """Generate audit report for migration"""
    report = {
        "migration_date": time.strftime("%Y-%m-%d %H:%M:%S"),
        "total_templates": len(cp_templates),
        "successful_migrations": len(tuple_ids),
        "failed_migrations": len(cp_templates) - len(tuple_ids),
        "template_mapping": {cp.id: t_id for cp, t_id in zip(cp_templates, tuple_ids)}
    }
    with open("migration_report.json", "w") as f:
        json.dump(report, f, indent=2)
    print(f"Migration complete. Report saved to migration_report.json")
    print(f"Checksum of migrated templates: {hashlib.md5(json.dumps(report).encode()).hexdigest()}")

if __name__ == "__main__":
    print("Starting CoderPad 3.0 to Tuple 2.0 template migration...")
    cp_templates = fetch_coderpad_templates()
    print(f"Fetched {len(cp_templates)} templates from CoderPad 3.0")

    tuple_ids = []
    for idx, cp_tpl in enumerate(cp_templates, 1):
        print(f"Migrating template {idx}/{len(cp_templates)}: {cp_tpl.name}")
        try:
            tuple_tpl = convert_template(cp_tpl)
            new_id = push_tuple_template(tuple_tpl)
            tuple_ids.append(new_id)
            print(f"Successfully migrated to Tuple template ID: {new_id}")
        except Exception as e:
            print(f"Failed to migrate template {cp_tpl.id}: {str(e)}")
            tuple_ids.append(None)
        time.sleep(0.2)  # Respect Tuple API rate limits

    generate_migration_report(cp_templates, [tid for tid in tuple_ids if tid is not None])

const express = require('express');
const crypto = require('crypto');
const { Pool } = require('pg');
const winston = require('winston');

// Tuple 2.0 Webhook Handler for Automated Interview Feedback Collection
// Verifies webhook signatures, parses interview end events, and stores feedback in Postgres

const app = express();
const PORT = process.env.PORT || 3000;
const TUPLE_WEBHOOK_SECRET = process.env.TUPLE_WEBHOOK_SECRET || 'whsec_test_12345';
const DB_CONNECTION_STRING = process.env.DB_CONNECTION_STRING || 'postgres://user:pass@localhost:5432/interview_feedback';

// Configure Winston logger
const logger = winston.createLogger({
  level: 'info',
  format: winston.format.json(),
  transports: [
    new winston.transports.File({ filename: 'webhook_errors.log', level: 'error' }),
    new winston.transports.File({ filename: 'webhook_combined.log' })
  ]
});

if (process.env.NODE_ENV !== 'production') {
  logger.add(new winston.transports.Console({ format: winston.format.simple() }));
}

// Initialize Postgres connection pool
const pool = new Pool({ connectionString: DB_CONNECTION_STRING });

// Verify Tuple 2.0 webhook signature per https://docs.tuple.dev/webhooks#signature-verification
function verifySignature(req) {
  const signature = req.headers['tuple-signature'];
  if (!signature) {
    logger.warn('Missing tuple-signature header');
    return false;
  }
  const hmac = crypto.createHmac('sha256', TUPLE_WEBHOOK_SECRET);
  hmac.update(JSON.stringify(req.body));
  const expectedSignature = `sha256=${hmac.digest('hex')}`;
  return crypto.timingSafeEqual(Buffer.from(signature), Buffer.from(expectedSignature));
}

// Store interview feedback in Postgres
async function storeFeedback(feedback) {
  const query = `
    INSERT INTO interview_feedback (
      interview_id, candidate_id, interviewer_ids, template_id,
      start_time, end_time, duration_minutes, candidate_score,
      interviewer_notes, technical_score, communication_score
    ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11)
    RETURNING id;
  `;
  const values = [
    feedback.interview_id,
    feedback.candidate_id,
    feedback.interviewer_ids,
    feedback.template_id,
    new Date(feedback.start_time),
    new Date(feedback.end_time),
    feedback.duration_minutes,
    feedback.candidate_score,
    feedback.interviewer_notes,
    feedback.technical_score,
    feedback.communication_score
  ];
  try {
    const res = await pool.query(query, values);
    logger.info(`Stored feedback for interview ${feedback.interview_id}, DB ID: ${res.rows[0].id}`);
    return res.rows[0].id;
  } catch (err) {
    logger.error(`Failed to store feedback for interview ${feedback.interview_id}: ${err.message}`);
    throw err;
  }
}

// Parse Tuple 2.0 interview end event
function parseInterviewEndEvent(event) {
  if (event.type !== 'interview.ended') {
    throw new Error(`Unsupported event type: ${event.type}`);
  }
  const { interview, candidate, interviewers, template } = event.data;
  return {
    interview_id: interview.id,
    candidate_id: candidate.id,
    interviewer_ids: interviewers.map(i => i.id),
    template_id: template.id,
    start_time: interview.start_time,
    end_time: interview.end_time,
    duration_minutes: Math.round((new Date(interview.end_time) - new Date(interview.start_time)) / 60000),
    candidate_score: interview.candidate_score || null,
    interviewer_notes: interview.notes || '',
    technical_score: interview.technical_score || null,
    communication_score: interview.communication_score || null
  };
}

// Webhook endpoint
app.post('/webhooks/tuple', express.json(), async (req, res) => {
  // Verify signature first
  if (!verifySignature(req)) {
    logger.warn('Invalid webhook signature');
    return res.status(401).json({ error: 'Invalid signature' });
  }

  try {
    const event = req.body;
    logger.info(`Received webhook event: ${event.type} for interview ${event.data?.interview?.id}`);

    if (event.type === 'interview.ended') {
      const feedback = parseInterviewEndEvent(event);
      const dbId = await storeFeedback(feedback);
      // Trigger async follow-up email to candidate (omitted for brevity)
      logger.info(`Processed interview end event for ${feedback.interview_id}`);
      return res.status(200).json({ status: 'success', db_id: dbId });
    } else if (event.type === 'interview.recording.ready') {
      // Handle recording ready events (omitted for brevity)
      logger.info(`Recording ready for interview ${event.data.interview.id}`);
      return res.status(200).json({ status: 'success' });
    } else {
      logger.info(`Unhandled event type: ${event.type}`);
      return res.status(200).json({ status: 'unhandled event type' });
    }
  } catch (err) {
    logger.error(`Webhook processing error: ${err.message}`);
    return res.status(500).json({ error: 'Internal server error' });
  }
});

// Health check endpoint
app.get('/health', async (req, res) => {
  try {
    await pool.query('SELECT 1');
    return res.status(200).json({ status: 'healthy' });
  } catch (err) {
    logger.error(`Health check failed: ${err.message}`);
    return res.status(503).json({ status: 'unhealthy' });
  }
});

// Start server
app.listen(PORT, () => {
  logger.info(`Tuple webhook handler listening on port ${PORT}`);
});

// Graceful shutdown
process.on('SIGTERM', async () => {
  logger.info('SIGTERM received, shutting down gracefully');
  await pool.end();
  process.exit(0);
});

// Tuple 2.0 template build config for Go 1.22 interviews
{
  "language": "go-1.22",
  "build_config": {
    "linter": "golangci-lint",
    "linter_flags": "--disable=lll,staticcheck --enable=govet,errcheck",
    "run_on_save": true,
    "timeout_ms": 5000
  }
}

// Tuple 2.0 API request to add interviewers to an active session
POST https://api.tuple.dev/v2/sessions/{session_id}/participants
Headers:
  Authorization: Bearer {TUPLE_API_KEY}
  Content-Type: application/json
Body:
{
  "participants": [
    {"email": "hiring.manager@company.com", "role": "interviewer"},
    {"email": "senior.eng@company.com", "role": "interviewer"},
    {"email": "dei.rep@company.com", "role": "observer"}
  ]
}

// Slack alert payload sent when interview ends
{
  "channel": "#interview-debriefs",
  "text": "Interview for Candidate {candidate_id} completed",
  "blocks": [
    {
      "type": "section",
      "text": {
        "type": "mrkdwn",
        "text": "*Interview Feedback Required*\nCandidate: {candidate_name}\nDuration: {duration_minutes} mins\nTemplate: {template_name}\n<{feedback_form_link}|Fill Feedback Form>"
      }
    }
  ]
}