Content updates: May–July, 2025
HackerEarth is excited to share major content updates made during the May–July 2025 quarter.
As part of our ongoing effort to provide high-quality technical content, we created over 13,000 multiple-choice questions across 455 different skills. Our library content has been carefully organized across key technical areas to match current industry needs.
Topics |
No. of questions |
Description |
---|---|---|
Full-stack development |
250+ |
HackerEarth library has over 250 questions covering topics like HTML, CSS, JavaScript, Angular, Core Java, and advanced Java. |
SQL |
100+ |
Proficiency in SQL querying and debugging remains a vital skill in today's data-driven landscape. Our library has questions designed to test candidates on real-world scenarios that require advanced querying techniques. |
Programming |
200+ |
HackerEarth library has a wide range of programming questions covering topics like: DSA techniques
Math and Logic
|
Data Science and Machine Learning |
— |
We have added new content on topics like Feature Engineering, Clustering, Model Evaluation, Recommendation Systems, Reinforcement Learning, and more. |
Subjective questions |
— |
Organizations can use this question type to ask candidates about a range of topics, including business management, product management, customer success, software technologies, and much more. It can also be used to assess the soft skills of the candidate. |
Innovation in question types
HackerEarth has introduced several innovative formats within the full-stack development domain.
Question type |
Format |
Description |
---|---|---|
Full-stack development |
Code Security |
Addressing the critical need for security-aware development practices in today's threat landscape. |
PySpark with Jupyter Notebook |
Interactive, real-world data processing scenarios that mirror actual workplace environments. |
|
Android Development |
Comprehensive coverage of mobile development using both Kotlin and Java, reflecting current Android development practices. |
|
AI-resilient real-world codebase debugging projects |
A revolutionary assessment format featuring large-scale, real-world codebases (3000+ lines of code) where candidates must navigate complex multi-file architectures, identify bugs, and implement fixes. These sophisticated assessments have been rigorously tested against leading AI models and demonstrate authentic problem-solving evaluation capabilities. |
|
SQL query |
Debugging |
We have introduced a new category focusing on practical troubleshooting skills that developers encounter daily in production environments. |
Research and development
HackerEarth's R&D team is actively conducting feasibility studies and developing assessment content focused on emerging and high-impact technologies.
Ongoing initiatives
Type |
Details |
---|---|
Alpine.js skills assessment |
Evaluating lightweight JavaScript framework proficiency for modern frontend development. |
GraphAI evaluation |
Assessment design for next-generation AI applications leveraging graph technologies. |
Three.js proficiency assessment |
Measuring skills in 3D graphics and interactive web experiences using Three.js. |
Theme-based DSA |
Structured evaluation of algorithmic thinking through progressively layered DSA challenges. |
Functional programming assessment |
Multi-language evaluation (Java, Python, JavaScript) of functional programming in full-stack development contexts. |
Go (Golang) backend assessment |
Measuring backend engineering capabilities using Go for modern system-level development. |
At HackerEarth, our focus is to make technical assessments accurate, relevant, and impactful. Our mission is not only to help organizations hire the best talent but also to give candidates a fair and engaging way to demonstrate their skills.