For technical recruiters and hiring managers

Hire Developers Who Can Actually Build Systems

Screen and interview developers on their real code—not generic puzzles solved instantly by AI

Our AI reviews their codebase and generates role-specific technical questions.

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class CacheManager {
  async get(key) {
    const cached = await this.redis.get(key);
    if (cached) {
      return JSON.parse(cached);
    }

    const data = await this.database.find(key);
    await this.redis.setex(key, 3600, JSON.stringify(data));
    return data;
  }
}
AI-Generated Question

How do you handle cache invalidation when the underlying data changes?

Why this question: Tests understanding of distributed systems and common caching pitfalls in production

Coding Interviews are Broken

function twoSum(nums, target) {  // LeetCode Problem #1: Two Sum
  for (let i = 0; i < nums.length; i++) {
    for (let j = i + 1; j < nums.length; j++) {
      if (nums[i] + nums[j] === target) {
        return [i, j];
      }
    }
  }
}
⚡ ChatGPT solved this instantly
Traditional Coding Tests
AI tools solve these puzzles in less than 1 second
Even excellent developers may reject these tests or fail them
Puzzles have zero connection to real engineering work
Result
120 team hours lost per failed hire
$240K cost of a failed senior developer hire

We have the solution

class JobQueue {
  async enqueue(jobData: JobPayload) {
    return await db.jobs.create({
      data: {
        payload: jobData,
        status: 'pending',
      }
    });
  }

  async processNext() {
    const job = await db.jobs.findFirst({
      where: { status: 'pending' },
      orderBy: { createdAt: 'asc' }
    });
  }
}
AI-Generated Question

Why did you implement a database-backed job queue instead of using Redis-based solutions like BullMQ?

Why this question: Reveals architectural decision-making process and understanding of job queue trade-offs

Good signals

Explains specific requirements that led to this choice (persistence guarantees, transactional consistency)
Discusses trade-offs: database reliability vs Redis performance

Red flags

Wasn't aware of Redis-based job queue solutions
Can't articulate performance implications of database polling

How do you handle concurrent workers trying to process the same job?

What happens when job processing takes longer than expected?

Questions based on Candidate's real work
Initiates technical discussions that reveal real expertise
Saves technical recruiters 80+ hours per hire
Eliminates cheating: developers answer quickly about their own code
More
Makes interviews engaging for both recruiters and candidates
Candidates feel valued and their time is saved

Everything You Need

For efficient technical hiring

Questions Generation based on Code Analysis

Custom Instructions & Difficulty
Add your own requirements to tailor questions for your specific needs & adjust question complexity to match the role level
Job-Specific Matching
Generate questions that match candidates to specific role requirements and tech stack

Faster Interviews with AI-Powered Assistant

Question Guidance
AI helps interviewers ask the most relevant questions during live interviews
Answer AnalysisComing Soon
Real-time suggestions for follow-up questions based on candidate responses

Smarter Screenings with Bot Interviewers

Coming Soon
Intelligent Follow-ups
Bot analyzes answers in real-time and generates contextual follow-up questions
Cheating Detection
Real-time and post-screening cheating detection
Automatic Summarization
Get instant candidate summaries with assessment scores after each screening

Candidate Privacy

Automatic Repository Deletion
Candidate code is permanently deleted after analysis to protect their intellectual property
Candidate Privacy Protection
Candidates maintain full control over which code parts to share and analyze

How it works

From code to conversation

1

Recruiter Invites Candidate

Recruiter sets up the job position with requirements and invites candidates for evaluation.

Senior React Developer position
Invitation sent to candidates
🔗 secure-eval-link.com/abc123
2

Candidate Submits Code

Candidate securely shares their repository and can choose which files/folders to focus on.

candidate-repo/
📁 src/components/
📁 src/utils/
📄 package.json
📄 README.md
3

ProofCode's AI Analyzes

AI performs deep code analysis and generates contextual technical questions based on their actual engineering decisions.

Analyzing React patterns...
Detecting architecture style...
Generating questions...
4

Candidate gets screened & interviewed

Smart bot screening (coming soon) + live interviews with AI-generated questions based on code analysis.

Interviewer asks: “Why did you choose this custom hook pattern?”
AI
Suggested follow-up: “What about performance implications of this pattern?”

How companies use ProofCode

Different roles, same goal: hire engineers who deliver in production

HR & Recruiters

Screen without wasting engineer time. Get objective analysis of coding skills throughout your hiring process.

Tech Leads

Ask the right questions during Interview. Focus on architecture discussions instead of basic coding tests.

Managers

Hire for real engineering skill, not memorized answers. Make confident decisions based on real code evidence.

Frequently Asked Questions

Simple pricing

All our plans include interviewing & screening

Pay-Per-Interview

Perfect for small businesses

$29 per interview
  • AI analysis of candidate's codebase
  • Role-specific question generation
  • Email support
  • No monthly commitment
Get Started
Most Popular

Professional

For growing companies

$499/month

$399 billed annually

  • 25 interviews/month
  • Everything in pay-per-interview
  • Priority email support
  • $29 per additional interview
Get Started

Enterprise

For large organizations

Custom Pricing

starting ~$999/month

  • Everything in Professional
  • Faster email response times
  • Volume discount
Contact Us

Ready to hire better?

Join companies who've stopped losing great engineers to bad interviews

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