Code Jack is the hiring manager's assistant for AI-assisted technical assessments. Track and grade every candidate prompt, compare submissions side-by-side, and choose when to jack a prompt to test their code review skills.
Code Jack gives hiring managers two powerful tools: visibility into how candidates prompt AI, and the ability to test whether they can catch real-world issues.
Every prompt a candidate sends is logged and graded. Review individual prompt quality, compare submission strengths and weaknesses, and see who writes precise instructions vs. vague one-liners.
Learn more about prompt trackingChoose when to jack a candidate's next prompt. Code Jack injects subtle anti-patterns into the AI output — testing whether candidates catch the issues, fix them, or ship them as-is.
Learn more about prompt jackingSet a real task and give candidates full access to AI coding tools. Code Jack silently tracks and grades every prompt they send.
Join WaitlistYou decide when to jack a candidate's next prompt. Code Jack injects instructions that produce subtle anti-patterns in the AI output — testing whether candidates catch, fix, or ship them.
Learn MoreSee graded prompts, overall submission strengths and weaknesses, and compare candidates side-by-side to make an informed hiring decision.
Learn MoreCreate a service that fetches user profiles and their recent orders from our API, with proper loading and error states.
Good specificity — requested error handling and loading states upfront
Add a notification system that shows success and error alerts when API calls complete. Use a context provider so it works across all pages.
Requested app-wide architecture from the start
Build a reusable data table component that supports sorting, filtering, and pagination.
Solid requirements but didn't specify type safety or accessibility
Write a function to get user data
Vague — no mention of error handling, loading states, or API structure
Make a table with sorting
Minimal detail — no filtering, pagination, or reusability requirements
Add error handling for the payment flow
Right area but no specifics on failure scenarios or retry logic
Sarah Chen
4 strengths · 3 weaknesses
Marcus Johnson
2 strengths · 5 weaknesses
Every candidate uses Copilot, ChatGPT, or Cursor. Banning AI from assessments doesn't reflect the job. Code Jack lets candidates use the tools they actually work with — and gives you the data to evaluate them properly.
Grade their prompts to see who writes precise, well-structured instructions and who relies on vague one-liners. Review submission-level strengths and weaknesses to understand how each candidate approaches architecture, error handling, and code quality.
Jack the prompts whenever you choose — introducing subtle anti-patterns into AI output, the kind that appear in every real codebase. You decide when to trigger a jack, then see which candidates catch the issues and refactor, and which accept everything at face value.
Be among the first hiring managers to use Code Jack. Tell us how you'd prefer to use it.