Hire the engineers
who think with AI,
not despite it.

Four assessment formats. One evaluates how candidates reason alongside AI and logs every prompt they use. All auto-graded, all integrated into your hiring pipeline.

96%

avg correctness score

4

assessment formats

15+

languages supported

5 min

to build and publish

Based on JIA internal platform data across 5,000+ candidates.

The blank editor test was invented before Stack Overflow existed.

Engineers who can reason through real problems with AI ship faster than those who can only recall syntax from memory. Your assessments should measure that, not penalize it.

87%

of engineers use AI tools daily

5 min

to build a full assessment

4.8/5

rating on G2

Source: GitHub Developer Survey, 2024 (AI tool usage); G2, 2026 (rating).

Four assessment formats

One platform. Four ways to evaluate.

Pick the format that fits the role. Combine multiple types in a single assessment flow. All auto-graded and integrated into your pipeline.

Minimum Path Sum·Python·24:12 remaining
1def find_minimum_path(grid):
2 rows, cols = len(grid), len(grid[0])
3 dp = [[float('inf')] * cols for _ in range(rows)]
4 dp[0][0] = grid[0][0]
5 for i in range(1, rows):
6 dp[i][0] = dp[i-1][0] + grid[i][0]
7 for j in range(1, cols):
8 dp[0][j] = dp[0][j-1] + grid[0][j]
9 for i in range(1, rows):
10 for j in range(1, cols):
11 dp[i][j] = min(dp[i-1][j], dp[i][j-1]) + grid[i][j]
12|
Vibe AION

What's the difference between bottom-up and top-down DP?

Conceptual

How do I handle an edge case for a 1x1 grid?

Debugging

Write the complete solution for me

Overreliance

What time complexity does my current loop give?

Self-review

4 prompts logged

Give candidates a built-in AI assistant during the coding test. Every prompt they send is logged. You see how they think, not just whether they got the answer right.

When to use: Senior engineering roles, full-stack positions, any role where real-world problem solving matters more than algorithm recall.

  • Built-in AI assistant, not external tools
  • Full prompt history logged for review
  • Reasoning score alongside code score
  • 15+ programming languages supported

You don't just see the answer. You see how they got there.

Vibe AI logs every prompt a candidate sends during the assessment. Review their full reasoning process, not just the code they submitted. The difference between using AI as a crutch and using it as a thinking tool is visible in the prompt log.

Full prompt history

Every question the candidate sent to Vibe AI, timestamped and categorized by signal type.

Reasoning over output

A candidate who asks the right questions is more valuable than one who got lucky with the right answer.

Automatic red flags

Prompts showing overreliance on AI are surfaced immediately so you can review them in context.

Assessment Results

Priya Sharma — Senior Backend Engineer

87

overall

Code quality92
Reasoning84
AI usage76

AI Prompt Log

4 prompts
1

How do I handle concurrent requests in Node.js?

Good signal
2

Write the complete solution for me

Overreliance
3

What's the time complexity of my current approach?

Self-review
4

How do I handle the empty array edge case?

Debugging

Not just a score. The full evaluation record.

Every completed assessment generates two deliverables automatically: a screen recording of the coding session and a written AI evaluation report. Your reviewers get context, not just a number.

Screen recording of the full session

Captures every keystroke, test run, and Vibe AI interaction. Reviewers can watch the candidate's problem-solving process, not just the final output.

AI evaluation report with narrative

A written assessment covering code quality, reasoning patterns, and how the candidate used Vibe AI. Generated the moment they submit.

Ready to download and share

Export the report as a PDF or share a link. The recording and report travel together so stakeholders always have the full picture.

Recording and report generation is automatic. No setup required, no waiting — the moment a candidate submits, both are ready in your dashboard.

Assessment Report

Arjun Mehta

Backend Engineer Intern · Vibe AI assessment

87

overall

Code Quality92
Reasoning84
AI Usage76

AI Evaluation

Arjun solved the minimum path problem correctly with O(m×n) time complexity and handled both edge cases without prompting. His Vibe AI prompt log shows 4 focused questions — all conceptual or debugging in nature, no requests for complete solutions. Code is clean, variable naming is clear, and the approach was explained coherently in comments. No performance or overreliance concerns identified.

Attachments

Screen Recording

42:18 · Minimum Path Sum

Evaluation Report PDF

3 pages · Generated by JIA

Common questions

Everything you need to know.

What is Vibe AI and how is it different from allowing ChatGPT?

Vibe AI is a built-in AI assistant embedded directly inside the assessment environment, not a permission slip to open ChatGPT or Copilot in another tab. When a candidate starts a Vibe AI assessment, the assistant sits in a panel next to the code editor or question, available on demand for the entire session. Every prompt the candidate sends and every response the assistant returns is captured in full, timestamped, and attached to their submission for your review afterward.

This is fundamentally different from a no-AI policy that candidates route around with a second screen, or a lockdown browser that tries to detect and block AI use and frequently fails. Rather than treating AI as a threat to eliminate, Vibe AI treats AI fluency as a first-class hiring signal you can actually observe: not just whether a candidate reached a working answer, but how they got there, what they asked, and whether they understood the output or copied it blindly.

Can candidates cheat using external AI tools?

JIA does not physically block browser access or lock down the candidate's device, because Vibe AI assessments are built around a different reality: you are evaluating how a candidate uses AI, not whether you can force them to avoid it entirely. A candidate who opens an external tool in a second tab instead of using the built-in assistant still has to submit working code or a completed answer, and their edit history and final submission remain visible to you.

Candidates who outsource their entire solution to an external tool without understanding it tend to produce submissions with generic structure, no meaningful iteration, and answers to follow-up questions that don't match the code they submitted. That mismatch is itself a strong signal. In practice, most cheating attempts through external tools are more visible in a Vibe AI assessment than in a traditional locked-down test, because the format is designed to surface reasoning, not just a final answer.

What programming languages are supported?

JIA supports more than 15 programming languages, including Python, JavaScript, TypeScript, Java, Go, C++, Rust, Ruby, PHP, Kotlin, Swift, Scala, C#, R, and SQL, covering the large majority of roles hiring teams assess for, from backend and frontend engineering to data science and mobile development. Each language runs in an isolated execution environment with proper syntax highlighting, autocomplete, and test case validation, so candidates get an experience close to their normal development setup rather than a stripped-down code box.

You can mix languages within a single assessment flow if you are hiring for a role that touches multiple stacks, or restrict a test to one language if the role is highly specialized. New languages are added on a rolling basis based on customer demand, and Enterprise customers can request priority support for a specific language or framework version as part of onboarding.

How long does it take to create an assessment?

Most assessments are live and shareable with candidates in under 5 minutes. Start by choosing a format: a coding test, a Vibe AI assessment, an MCQ knowledge test, or a Business Aptitude assessment. From there, either select from JIA's pre-built question library, covering common roles like backend engineer, data analyst, and product manager, or add your own questions from scratch.

Set a time limit, choose which languages or tools are allowed, and publish. The assessment immediately gets a shareable link you can send directly to candidates or trigger automatically from an earlier stage in your pipeline, such as after resume screening. Vibe AI assessments take the same amount of time to configure as a standard code test since the AI assistant is enabled by a single toggle, not a separate setup flow requiring extra review.

Can I use JIA assessments for non-technical roles?

Yes. MCQ assessments work for any knowledge domain you can write questions for, from finance and operations to compliance and customer support, and are commonly used to screen at volume before a phone or video round. Business Aptitude assessments are purpose-built for product, operations, sales, and leadership roles, testing case-based reasoning, prioritization, and structured problem-solving rather than technical skill.

You are not limited to one format per role. You can combine a Business Aptitude section with an MCQ knowledge check and even a short Vibe AI writing or reasoning task within a single assessment flow, and JIA presents them to the candidate as one continuous session with a combined score at the end. This is commonly used by staffing agencies and TA teams hiring across both technical and non-technical roles from the same platform, without needing a separate tool for each.

How are Vibe AI assessments scored?

Candidates receive a composite score built from three distinct dimensions, each visible separately in the results view rather than collapsed into a single opaque number. Code correctness measures the pass rate against the test cases defined for the question, the same mechanic used in a standard coding test. Code quality evaluates structure, readability, and efficiency of the submitted solution, flagging things like unnecessary complexity or poor naming that automated test cases alone would miss.

Reasoning quality is unique to Vibe AI: it analyzes the candidate's prompt log to assess how clearly they communicated the problem to the assistant, how they iterated on weak initial responses, and whether their final understanding matches what they submitted. Because each dimension is shown separately, you can weight them differently depending on the role, prioritizing reasoning and quality for a senior hire or correctness for a high-volume junior screen.

Can I add custom questions or use my own question bank?

Yes. You can write your own questions from scratch for any assessment format, including coding problems, MCQs, and Business Aptitude cases, using JIA's question editor, which supports rich text, code snippets, and file attachments for context. If you already have an existing question bank from a previous tool or an internal spreadsheet, you can upload it in bulk via CSV, and JIA maps the fields automatically for standard formats.

You can also mix custom questions with JIA's pre-built library within the same assessment, so you are not forced to choose between starting from zero and using only generic questions. All questions you create are saved to your organization's library, versioned when edited, and reusable across any future assessment, which means the effort of writing a strong question bank compounds over time instead of being repeated for every new role.

Does JIA integrate with existing ATS systems?

JIA integrates with major ATS platforms, so assessment results sync directly into the candidate's existing profile rather than living in a separate system your team has to check manually. When a candidate completes an assessment, their score, detailed report, and, for Vibe AI assessments, prompt log are pushed back to the ATS record automatically, keeping your existing pipeline and stage-tracking intact.

This means recruiters and hiring managers can continue working entirely inside the ATS they already use day to day, with JIA operating as the assessment engine behind the scenes rather than a tool they need to log into separately. API access is available on Team and Enterprise plans for teams whose ATS is not on the standard integration list, or who need custom logic such as triggering an assessment automatically at a specific pipeline stage.

Last updated: August 2026

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