A real IDE with 30+ languages, sandboxed execution, and live test cases — running inside the most aggressive AI-defense layer in Indian tech hiring. Powered by the kodr(run) engine.
1 def find_duplicates(nums): 2 seen = set() 3 dupes = [] 4 for n in nums: 5 if n in seen: 6 dupes.append(n) 7 seen.add(n) 8 return dupes
Most coding assessment tools give candidates a stripped-down code editor that wouldn't pass for a hobby project. Skolarli runs the full kodr(run) engine — Monaco editor (the same engine that powers VS Code), 30+ languages on current versions, sandboxed execution with real test cases, and IDE features candidates expect from their actual day-to-day tools.
What that means in practice: candidates write code in the environment they're used to, not in a marketing screenshot. The signal you get back reflects how they actually code — not how well they fight your tool.
And in 2026, raw problem-solving isn't the only signal worth measuring. Skolarli runs in two modes — strict mode locks AI tools out for screening rounds where you need to see how a candidate thinks unaided. AI Co-pilot mode hands them a Skolarli-provided AI assistant and surfaces telemetry on how productively they use it. You decide which mode fits each role.
Algorithm rounds, system design, bug fixes, technical knowledge — the full spectrum of what engineering teams actually test for, in one assessment session.
LeetCode-style problems with hidden test cases, sandboxed execution, and time-bound complexity expectations. Built on the kodr.run engine.
30+ languages across modern, systems, JVM, scripting, functional, and academic categories. Current versions, not stale runtimes.
Buggy code with passing and failing tests. Tests how candidates debug under pressure — closer to real engineering work than greenfield problems.
Open-ended architecture questions with structured written response. Pairs with caselet evaluation by SkoAI for human-decided scoring.
Concept-level multiple choice for languages, frameworks, databases, networking, and OS fundamentals. Quick screening before deeper rounds.
Live SQL execution against sample schemas. Tests JOIN reasoning, aggregation, and query optimisation — all with real result-set verification.
HTML / CSS / JavaScript challenges for frontend candidates. React, Vue, and vanilla JS supported with browser-based preview.
Multi-file, multi-hour project assignments delivered in a sandboxed environment. Tests how candidates structure code and reason across files — not just function-level skill.
For senior roles where AI literacy is the signal. Candidates use a Skolarli-provided AI assistant during the assessment — you see exactly how productively they used it.
Most coding test platforms were built before AI cheating or AI-Assistance in coding became a daily practice. kodr.run was built for the world we're hiring in now.
Cursor, Copilot, ChatGPT desktop, Claude desktop, and other AI assistants blocked at the OS level via Skolarli Integrity Browser. Network-level domain blocking shuts down web AI tools simultaneously.
Monaco editor (the engine that powers VS Code) with syntax highlighting, IntelliSense-style autocomplete, multi-file workspaces, and the keyboard shortcuts engineers expect.
Python 3.12, Java 17, Node 22, Rust 1.85, GCC 14, TypeScript 5.6 — and counting. Most legacy platforms still run versions from 2019. Candidates write code in environments that match their actual workflow.
Speaker biometrics confirm the same candidate is taking the entire assessment. No coached cousins, no swapped chairs mid-test.
Every coding submission carries a 0–100 trust score with severity-weighted violation log. You see the code, the test results, and the integrity context — together.
Send a link, candidate clicks, IDE loads. No sign-up, no install (until SIB is required), no friction. Candidates start coding in under 30 seconds.
Book a 30-minute walkthrough and we'll show you exactly how Skolarli's coding assessments — powered by kodr.run — fit into your engineering hiring funnel.