About · Technical

Unlock your child's programming potential

Simple guide for parents to upload and analyze code.

26+ Languages

Secure

AI-Powered

7 Metrics

Why analyze your child's code?

Programming is more than a career—it's a way of thinking. Our Coding Agent helps you:

Understand their level — objective assessment without bias
Discover hidden talents — many abilities only show in code
Guide development — personalized recommendations for next steps
Boost motivation — visualizing achievements inspires growth

Upload process (3 steps)

Same flow you'll use in the Test Center—this is a preview.

Upload your child's code files

Drag and drop code files or click to browse. You can upload multiple files from the same project.

Drop code files here or click to browse

Supports .py, .js, .java, .cpp and 22+ more formats

Provide context (optional, recommended)

Share details about the project to help our AI understand the context and complexity level.

What to include:

• What the program does (e.g., "calculator app", "simple game")
• How much help they received (independent, guided, collaborative)
• Time spent on the project
• Their age when they wrote it
• Any challenges they overcame

Start analysis and review results

Our AI automatically detects the programming language and analyzes the code for various skills and talents.

Automatic detection

• Programming language identification
• Security validation
• Code structure analysis

Analysis results

• Talent scores and insights
• Code metrics visualization
• Personalized recommendations

Age-appropriate expectations

Our AI adjusts expectations based on your child's age.

Ages 5–7: visual and block programming

Focus on logic, creativity, and basic sequences.

Scratch Jr

Simple animations

Basic loops

Ages 8–12: text-based beginnings

Introduction to syntax, functions, and problem-solving.

Python basics

Simple games

HTML/CSS

Ages 13–16: advanced concepts

Object-oriented programming, algorithms, and projects.

JavaScript apps

Data structures

APIs

Ages 17+: professional skills

Industry practices, complex architectures, and specialization.

Full-stack development

AI/ML

Testing

Supported languages (26+)

From beginner-friendly to professional languages.

Most popular for learning

Python (.py)

JavaScript (.js)

TypeScript (.ts)

Java (.java)

C++ (.cpp)

HTML (.html)

CSS (.css)

All supported languages

Python.py

JavaScript.js

TypeScript.ts

Java.java

C++.cpp

C.c

C#.cs

Ruby.rb

Go.go

Rust.rs

PHP.php

Swift.swift

Kotlin.kt

Scala.scala

Lua.lua

R.r

Dart.dart

HTML.html

CSS.css

SQL.sql

Shell.sh

Perl.pl

JSON.json

YAML.yaml

XML.xml

Markdown.md

What you'll discover

Real insights that help you support their programming journey.

Skill level

• Overall programming score (0–100%)
• Comparison with age-appropriate standards
• Progress tracking over time
• Areas of exceptional ability

Talent signals

• Problem-solving approaches
• Logical thinking patterns
• Creative innovation skills
• Technical design abilities

Personalized guidance

• Next programming languages to learn
• Recommended project ideas
• Online courses matched to their level
• Career path possibilities

Motivation

• Visual achievement displays
• Specific praise for their code
• Growth goals to work toward
• Confidence-building insights

Seven metrics we analyze

Age-adjusted evaluation across programming dimensions.

Code Complexity

Evaluates algorithmic sophistication and structural complexity

Readability

Assesses code clarity, naming conventions, and documentation

Efficiency

Analyzes performance optimization and resource usage

Innovation

Identifies creative problem-solving approaches and unique solutions

Problem Solving

Evaluates logical thinking and solution methodology

Best Practices

Checks adherence to programming standards and conventions

Debugging Skills

Assesses error handling and code robustness

Example analysis

See how our AI analyzes different types of code.

Python Example

# Simple calculator with functions
def add(a, b):
    """Add two numbers together"""
    return a + b

def multiply(a, b):
    """Multiply two numbers"""
    return a * b

# Main program
if __name__ == "__main__":
    num1 = 10
    num2 = 5
    
    result_add = add(num1, num2)
    result_mult = multiply(num1, num2)
    
    print(f"Addition: {num1} + {num2} = {result_add}")
    print(f"Multiplication: {num1} × {num2} = {result_mult}")

AI analysis insights

Clean function definitions with docstrings

Proper variable naming conventions

Use of f-strings for formatted output

Good code organization and structure

Security and safety

Your child's code is processed with multiple security layers.

What we do

Scan for malicious code patterns before analysis

Validate file types and sizes (max 2MB per file)

Sanitize content for safe display

Process in secure, isolated environment

Age-appropriate security assessment

What gets flagged

System commands or file operations

Network requests or external connections

Script injection attempts

Code obfuscation or encoding

Files larger than 2MB

Frequently asked questions

New to programming? You're covered

You don't need technical knowledge to support your child's journey.

How we explain results

Clear, jargon-free summaries of what they built
Charts for strengths and progress over time
Practical ways to encourage them

Support without writing code

Celebrate projects even when the implementation is unfamiliar
Ask them to explain what the program does in plain language
Use recommendations to pick the next small challenge

Ready to explore their programming strengths?

Upload from the Test Center and get personalized, age-aware insights.

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