Migrating from CodeSignal: Testing real world development skills better

Companies are migrating from CodeSignal to HackerRank because traditional algorithmic assessments no longer predict real-world performance, with 74% of developers reporting difficulty landing roles due to assessment type issues. HackerRank addresses this gap through practical evaluations in realistic development environments, processing 172,800 daily assessments while reducing engineering interview time by over 60% for companies like Red Hat.

Key Facts

Scale & reliability: HackerRank handles 172,800 technical assessments daily with support for up to 1,200 concurrent sessions

Proven impact: Red Hat reduced live technical interviews by over 60% using HackerRank, automatically disqualifying 63% of unqualified candidates

AI-ready assessments: Platform evaluates how candidates work with AI tools, reflecting that 97% of developers now use AI assistants in development

Enterprise adoption: Over 2,500 companies including 25% of Fortune 100 companies trust the platform

Migration path: Pro tier at $375/month provides unlimited users and ATS integrations with Greenhouse and Lever

Integrity focus: AI-powered plagiarism detection and session replay features provide transparent assessment security

Tech hiring teams in 2025 are migrating from CodeSignal to HackerRank to regain speed, integrity, and realism in candidate evaluations. This post unpacks why the switch matters and how to execute it without disrupting your pipeline.

Why are teams reconsidering CodeSignal in 2025?

The technical hiring landscape is undergoing rapid transformation, with new tools and practices emerging regularly. 97% of developers now use AI assistants in their development process, fundamentally changing how teams need to evaluate skills. Yet despite strong demand for talent, 74% of developers report difficulty landing roles due to assessment types and hiring process issues.

This disconnect between traditional screening methods and modern development practices creates friction for both candidates and employers. Companies conducting millions of assessments annually are discovering that algorithmic puzzles and abstract challenges no longer predict on-the-job performance. The mismatch drives hiring teams to seek platforms that better align with actual development workflows and candidate expectations.

Common pain points companies hit on CodeSignal

Organizations using CodeSignal frequently encounter limitations that slow their hiring momentum. The platform's dynamic question rotation, while intended to prevent cheating, can create inconsistent candidate experiences. Teams report that algorithmic questions don't give the best read on candidates' practical skills for day-to-day work.

Assessment integrity presents another challenge. While CodeSignal employs various detection methods, companies struggle with the balance between security and candidate experience. Some users find that "the problem library seemed to have a lot of very easy or very hard problems, harder to find intermediate tasks to set," making it difficult to accurately gauge mid-level talent.

The platform's focus on standardized assessments can also limit customization for specific roles. Teams seeking to evaluate specialized skills or incorporate real-world scenarios find themselves constrained by pre-built question sets. As one reviewer noted, the challenge of finding appropriate intermediate-level problems impacts the ability to differentiate between candidates effectively.

What does a 'real-world' coding assessment look like?

Real-world assessments go beyond algorithmic challenges to evaluate how developers actually work. Modern interview tools provide collaborative IDEs that mirror what developers use in their daily roles, allowing candidates to demonstrate practical problem-solving in familiar environments.

The shift toward practical evaluation helps reduce bias in technical interviews. By focusing on practical tasks, hiring teams offer every candidate an equal opportunity based on merit and skill applicability rather than academic exposure. 90% of developers say technical interviews are the best setting to showcase skills like optimization, collaboration, and system design.

"A recruitment process that resonates with real-world challenges speaks volumes about a company's commitment to modernity and authenticity." Developer skills assessment platforms assist teams in expediting hiring by customizing assessments to organizational needs. Companies like HackerRank enable teams to evaluate iOS developers in realistic environments complete with built-in emulators, multi-file support, and IDE features matching production tools.

Accounting for AI in modern assessments

The integration of AI tools into development workflows demands new assessment approaches. HackerRank's AI Interviewer captures signals beyond code correctness, including thought process and judgment critical in an AI-first world. This evolution reflects the reality that 97% of developers already use AI assistants in their development process.

Rather than treating AI as a threat to assessment integrity, forward-thinking platforms evaluate how candidates collaborate with these tools. The ability to prompt effectively, verify outputs, and integrate AI assistance into problem-solving becomes a measurable skill reflecting actual workplace demands.

How does HackerRank deliver deeper signal than CodeSignal?

HackerRank's infrastructure handles 172,800 technical skill assessments submissions daily, demonstrating proven scalability for high-volume hiring. The platform now supports up to 150 logins per minute and manages 1,200 concurrent sessions, ensuring smooth experiences during peak recruitment periods.

HackerRank helps over 2,500 companies, including 25% of the Fortune 100, streamline their hiring processes through features that address common bottlenecks. Teams gain access to role-specific assessments spanning software engineering, data science, and DevOps positions.

Impact in the field

Red Hat achieved remarkable efficiency gains with HackerRank, reducing live technical interviews by over 60%. The platform disqualified 63% of phase one candidates automatically, allowing engineering teams to focus only on qualified prospects. Time-to-fill shortened significantly as teams could qualify talent faster.

PTC transformed its fragmented testing approach into a standardized process using HackerRank. As their talent acquisition team explained, "Before we had HackerRank, our managers and our technical roles were sort of creating their own tests, which obviously took a lot of time... once we got HackerRank in place, we were able to streamline the process." The platform helped PTC narrow down candidates with verified skills while speeding up collaboration between HR and engineering teams.

Mary Teolis, Talent Acquisition Manager at UKG, emphasizes the platform's real-world relevance: "We require candidates to undergo a technical interview, specifically a live coding interview utilizing the HackerRank platform. The objective here is not to assess perfect syntax, but rather to observe their ability to think critically, articulate their thought process, pose insightful questions, and collaboratively work towards a solution with our interviewer."

How do you protect assessment integrity during and after migration?

HackerRank's Integrity Stack provides multiple layers of protection throughout the assessment process. The platform's AI-powered plagiarism detection model analyzes behavioral signals and code similarity to surface high-confidence flags. This proprietary system trained on real examples of both LLM-based and traditional plagiarism ensures authentic candidate submissions.

Proctor Mode functions like having a human proctor for take-home assessments. Session replay captures screenshots of any external tool usage, providing clear evidence when rules are broken. The system detects suspicious activity in real time and submits comprehensive reports for review.

Compared to CodeSignal's Suspicion Score system that relies on similarity checks and telemetry, HackerRank offers more transparent integrity measures. Over 2,500 companies trust HackerRank's approach because it balances security with candidate experience while maintaining assessment fairness.

What's the step-by-step roadmap to migrate from CodeSignal to HackerRank?

Successful migration starts with strategic planning around your existing assessment pipeline. Badoo's seamless experience with Lever ATS integration demonstrates the importance of evaluating technical compatibility early. Map your current workflows, identify integration points, and establish success metrics before initiating the transition.

HackerRank's Pro tier at $375/month provides unlimited users, ATS integrations with Greenhouse and Lever, plus access to 4,000+ questions. This eliminates seat license management issues while providing immediate access to comprehensive assessment content.

Begin with a pilot program for one role or team. HackerRank's market presence with 2,500+ companies means proven migration playbooks exist. Test the platform's CodePair for live interviews, validate plagiarism detection effectiveness, and gather feedback from both interviewers and candidates.

Scale gradually after validating the pilot results. The platform's Enterprise tier offers certified assessments and supports testing up to 100,000 candidates simultaneously. Leverage professional services for custom question development and advanced user permissions to match your organization's structure.

Monitor key metrics throughout the migration. Track time-to-hire changes, engineering hours saved, and candidate satisfaction scores. 63% of HR leaders report high regret with technology purchases, but systematic evaluation prevents buyer's remorse.

Key takeaway: A phased migration approach minimizes risk while allowing teams to validate improvements in hiring velocity and candidate quality before full commitment.

Key takeaways: Make the switch with confidence

Migrating from CodeSignal to HackerRank addresses the core challenges modern hiring teams face: assessment realism, integrity concerns, and scalability needs. With HackerRank processing 172,800 daily assessments, the platform demonstrates proven capability to handle enterprise-scale hiring while maintaining quality signal.

The combination of real-world assessment design, comprehensive integrity features, and measurable business impact makes the migration worthwhile. Companies report significant time savings, improved candidate experience, and better hiring outcomes after making the switch.

Ready to transform your technical hiring process? HackerRank's proven platform, trusted by thousands of companies worldwide, provides the tools and support needed for a smooth transition. Whether you're looking to reduce engineering interview time, improve assessment integrity, or better evaluate modern development skills, HackerRank delivers the capabilities to achieve your hiring goals.

Frequently Asked Questions

Why are companies migrating from CodeSignal to HackerRank?

Companies are migrating from CodeSignal to HackerRank to address issues like inconsistent candidate experiences and the need for more realistic skill assessments. HackerRank offers a platform that aligns better with modern development workflows and provides comprehensive integrity features.

What are the common issues with CodeSignal's assessments?

CodeSignal's assessments often face challenges such as inconsistent candidate experiences due to dynamic question rotation and a lack of customization for specific roles. These issues can hinder accurate evaluation of practical skills needed for day-to-day work.

How does HackerRank ensure assessment integrity?

HackerRank ensures assessment integrity through its Integrity Stack, which includes AI-powered plagiarism detection and Proctor Mode. These features provide multiple layers of protection, ensuring authentic candidate submissions and maintaining fairness in assessments.

What makes HackerRank's assessments more 'real-world'?

HackerRank's assessments are designed to mirror real-world development environments, using collaborative IDEs and practical problem-solving tasks. This approach helps reduce bias and allows candidates to demonstrate skills in a setting that reflects actual workplace demands.

How can companies smoothly transition from CodeSignal to HackerRank?

Companies can transition smoothly by strategically planning their migration, starting with a pilot program, and gradually scaling after validating results. HackerRank offers comprehensive support, including integration with ATS systems and access to a vast library of assessment content.

Sources

1. https://www.hackerrank.com/blog/how-badoo-strengthened-its-senior-developer-screening-framework/
2. https://codesignal.com/blog/tech-recruiting/prevent-and-detect-cheating-in-recruiting
3. https://codesignal.dev/codesignal-vs-the-competition
4. https://pmarketresearch.com/it/technical-interview-platform-market/
5. https://support.hackerrank.com/articles/5686123513-april-2025-release-notes
6. https://www.contentree.com/caseStudy/how-kubra-rapidly-scaled-tech-hiring-with-hackerrank_414176
7. https://hackerrank.com/solutions/integrity-test
8. https://www.hackerrank.com/blog/putting-integrity-to-the-test-in-fighting-invisible-threats/
9. https://www.cledara.com/marketplace/hackerrank