Aptitude tests surge as AI reshapes software hiring

HackerEarth has reported a sharp rise in aptitude-based screening for software engineering roles, as employers place more weight on problem solving and judgement during recruitment.

The company said aptitude assessments surged 54 times since 2024. It linked the shift to changes in software engineering work as more teams use generative AI tools for code output and developers spend more time on review and validation.

HackerEarth operates a technical hiring platform used by employers to assess candidates. The company said its latest analysis points to steady hiring demand for engineers and developers through 2025, alongside more caution in decision-making and more investment in evaluation methods ahead of 2026.

It said candidate assessment activity remained consistent month to month from March through November. The company reported a gentle rise into the middle of the year, followed by a taper towards year end. It also said activity resumed quickly after dips.

HackerEarth also tracked the creation of new hiring assessments. It said these peaked from July through September. November recorded another spike. The company said this pattern can indicate preparation for campus recruitment early in the next year.

Work changes

HackerEarth said the day-to-day work of software engineers is shifting as generative AI handles more routine code. It said engineers now spend more time reviewing and validating output. It said they look for logic flaws, security gaps, and architectural fit. It also said engineers spend more time clarifying requirements and designing constraints.

"A sharp increase in aptitude assessments marks a definitive shift in technical hiring. Companies are no longer screening for syntax fluency; they're screening for judgement. In an AI-assisted world where code generation is commoditized, the value lies in knowing what to build, why it matters, and whether the output is correct. This isn't a trend. It's a recalibration of what engineering competence actually means," said Vikas Aditya, Chief Executive Officer, HackerEarth.

Core skills

Despite growing interest in AI tools, HackerEarth said employers still prioritise core technical fundamentals in screening. It said the highest assessment volumes centred on algorithms, SQL, and data structures.

The company said Java and Python continued to lead as primary languages used in assessments. It said these languages outpaced others by a wide margin. HackerEarth said candidates who build mastery of fundamentals improve their prospects in the current market.

Multi-part screening

HackerEarth said technical hiring increasingly evaluates multiple skill sets together. It described four clusters that employers screen in combination. It said these include foundational computer science and logic, full stack engineering, data and AI engineering, and cloud and DevOps.

The company said foundational skills sit at the centre of the model. It said employers then apply role-specific evaluation based on deployment needs, rather than relying on keywords in CVs.

Aptitude signals

HackerEarth said the fastest-growing skills measured in assessments related to thinking rather than tool usage. It reported programming rose 54 times by share, problem solving rose 39 times, and data visualisation rose 35 times.

The company framed this as a shift away from testing familiarity with specific syntax and towards testing the ability to solve problems and present results. It said this trend matters in the context of AI-assisted development workflows, where candidates may use tools to generate code but still need to demonstrate reasoning and verification.

AI assessment use

HackerEarth also tracked the use of ChatGPT-enabled assessments. It said they remained a small share of events during 2025. It reported this share reached about 2.5% of events by December, from about 0.9% in January. The company characterised adoption as early stage. It said usage showed sharp month-to-month spikes and repeat usage among a small set of companies.

The company said more employers may examine how candidates work with AI tools during hiring. It said this sits alongside ongoing assessment of fundamentals in real scenarios.

Proctoring rise

HackerEarth also reported increased use of proctoring during assessments. It said the share of companies using proctoring rose from 64% in January to a peak of 77% in July. It said nearly two out of three events were proctored by year end, at 64.5%.

The company linked the shift to concerns about cheating and a push for stronger signal quality in screening. It said candidates should expect monitored evaluations as a common part of recruitment in 2026.

Aditya is due to discuss the findings and their implications for 2026 in a public online session.