DevSkiller is a technical-screening platform built around real-work coding tasks instead of algorithm puzzles, and for teams that need to filter a large developer pipeline before interviews, it does that job well. If your problem is "we get too many applicants and interview too many of the wrong ones," DevSkiller is a genuinely strong fit. DevSkiller is a skills-assessment company founded in 2013 and headquartered in Warsaw, Poland. It was started by a group of developers led by CEO Jakub Kubryński, with co-founders including Marek Kałużny, Mariusz Smykuła, Katarzyna Kandefer, and Tom Winter (techniventures.com). The company raised roughly $2.4M in venture funding across its rounds and grew into a widely used technical-testing product (crunchbase.com). Its flagship product, TalentScore, is used by large engineering and hiring organizations — the platform's client roster includes names like PayPal, Deloitte, Criteo, IKEA, and ING (skillpanel.com). The brand has since evolved into SkillPanel, a broader skills-intelligence platform, and `devskiller.com` now redirects there (skillpanel.com) — but the core technical-assessment engine that made DevSkiller's name is still the heart of the product.

DevSkiller's method is called RealLifeTesting. Instead of asking candidates to reverse a binary tree on a whiteboard, it gives them real-world tasks — building a small application or adding a feature to an existing codebase — that mirror the work they'd actually do on the job (skillpanel.com).

The catalog covers 220+ languages, resources, and skills, spanning multiple seniority levels, so a team can screen for a junior React role and a senior data engineer from the same library. Candidates work in a full IDE-like environment, and results are compiled into an automated report — code functionality, quality, errors, and edge-case handling — written so a non-technical recruiter can read it. The platform also runs plagiarism detection, comparing submissions against previous candidate solutions to protect test integrity (skillpanel.com).

The numbers DevSkiller points to are about efficiency at the top of the funnel. One published customer case (Plutora) reported cutting its interview rate by 50% and saving roughly 8 hours per candidate by screening out weaker applicants before the interview stage (skillpanel.com).

Realistic tasks beat trivia. RealLifeTesting is a genuinely better signal than algorithm quizzes for most hiring. Watching someone extend a real project tells you more about day-to-day competence than a timed puzzle does. Breadth of the library. With 220+ languages and skills and ready-made tasks across seniority levels, most teams can screen almost any stack without building assessments from scratch. Recruiter-friendly output. The auto-generated, plain-English scorecards let non-engineers triage a pipeline without pulling a senior developer into every first-pass review — a real time-saver at volume. Enterprise-proven. Adoption by companies like PayPal, Deloitte, and IKEA means the platform holds up under compliance, security, and scale requirements that a lightweight tool might not.

DevSkiller is a screening layer, not a sourcing engine. It measures the candidates you already have in front of you. You still need to fill the top of the funnel yourself — job posts, agencies, inbound — and the assessment only helps once someone has applied and agreed to take a test. It also measures general coding skill more than AI-native fit. RealLifeTesting is excellent at "can this person write clean, working code?" If what you specifically need is an engineer who builds fluently with AI tooling, a standard task library is a proxy for that, not a direct read. And it leaves employment on your plate. DevSkiller tells you who to hire; onboarding, contracts, payroll, and compliance are entirely your job. That's the correct scope for an assessment product — just know it ends where the test ends.

Here's the honest gap. A test only works on the people who show up to take it. And the best AI engineers aren't filling out an application and sitting down for a coding assessment — they're already working, booked on a contract somewhere else, heads-down on hard problems, not in anyone's candidate pool. Nextdev reaches the top 1% of AI engineers — the ones who aren't looking. We go find them. Then we prove them. We give each a real problem to build and watch how they actually work — so you know they're AI-native because we've seen it, not because a test score or a profile said so. Then we're done for you. We employ the engineer: one named person on your team, and the contract, payroll, and compliance never touch your desk. DevSkiller hands you a report and leaves the sourcing and the employment to you. We do all three — reach, proof, and payroll. You're not grading who applied. You're getting the engineer who never would have.

DevSkiller is a strong, mature technical-screening platform, and if your bottleneck is too many applicants and not enough time to filter them, it earns its place — the RealLifeTesting approach is a real improvement over algorithm trivia. Just be clear on what it is: a test you run, not a partner who finds the person and puts them on your team. If you need to evaluate the developers you already have, DevSkiller is a smart call. If you need to get an AI-native engineer without running the search or the employment yourself, that's a different job.