WeCP | We Create Problems

AI fluency is not about knowing AI tools. It is about how candidates use AI while solving real problems. In most technical interviews today, AI is either banned or ignored. But in real engineering environments, developers actively use AI to: 👉 write code faster 👉 debug issues 👉 iterate on solutions So the real question for hiring teams is: Can your interview process evaluate AI-assisted problem solving? With Vibe Coding in WeCP | We Create Problems, AI becomes part of the assessment environment. Candidates get a live AI-assisted coding workspace where they can: 👉 read the problem 👉 write and improve code 👉 debug with AI support 👉 iterate on solutions This allows recruiters to evaluate AI fluency in real developer workflows. Because modern engineering is not AI-free. It is AI-enabled. 🎥 Watch the video below to see how Vibe Coding works. #AIHiring #TechnicalInterviews #DeveloperHiring #AICoding #WeCP #AIFluency

Excited to make AI work in production 🚀

Lets make AI work!! 🚀

WeCP x Invisible 🎉 =============== We’re excited to share that WeCP has entered into an acquisition agreement with Invisible. As AI rapidly moves from research labs into real products in 2026, the world is entering a new phase - training AI models and agents with high-quality human expertise. That’s where this partnership becomes powerful. For years, WeCP has focused on one core problem: how to accurately evaluate real human skills. From coding and technical assessments to communication and problem-solving, we built infrastructure that helps organizations identify true capability. By joining forces with Invisible, we will take this mission much further. Invisible works with many of the world’s leading AI labs - including organizations building frontier models and agents. Together, we will help power the next generation of AI training systems, where high-quality human expertise, evaluation, and feedback loops are critical. WeCP will play a pivotal role in: • Training and evaluating AI models and AI agents • Building systems that measure human expertise at scale • Supplying high-quality expert evaluation for AI training workflows • Enabling organizations to hire AI talent faster and with greater confidence For our existing customers, nothing changes about our commitment. In fact, this partnership will allow us to invest deeper in the platform and deliver even more powerful capabilities to help companies hire and develop talent better and faster. This is an exciting new chapter for our team. What started as a mission to help companies ask the right questions to identify great talent is now evolving into something bigger: helping train the intelligence behind the next generation of AI systems. We’re incredibly excited about what comes next 🚀🚀 — Team WeCP Abhishek Kaushik Matthew Fitzpatrick Mohit Goyal

Most hiring teams don’t struggle to get applicants. They struggle to identify the right ones efficiently. For every open role, there are dozens of profiles that look promising on paper. But evaluating real capability still takes hours of screening calls, repeated first-round questions, and manual scoring. That approach doesn’t scale. We built AI Interviewer at WeCP | We Create Problems to solve this. 👉 It conducts structured, job-specific first round interviews automatically. 👉 It asks relevant questions. 👉 It probes deeper based on responses. 👉 It evaluates consistently. By the time a recruiter speaks to a candidate, they already know why that person is shortlisted. Less noise. Stronger signal. Faster hiring decisions. This isn’t about replacing recruiters. It’s about helping them focus only on conversations that truly matter. Sharing a quick video below on how it works. #AIInterview #AIInterviewer #RecruitmentTechnology #TalentAcquisition #Hiring #HRTech

Most technical assessments look fine on the surface. But look closer and you’ll find: 👉 Gaps in skill coverage 👉 Questions that are unclear or poorly framed 👉 Imbalance between theory and practical application 👉 Tests that don’t reflect real job expectations That directly impacts hiring quality. To solve this, we built the AI Reviewer in WeCP | We Create Problems. It works like a built-in domain expert that reviews your assessment in seconds. Here’s what it analyzes: ✔ Overall test structure ✔ Relevance to the role ✔ Clarity of each question ✔ Balance across skills ✔ Coverage depth ✔ A transparent quality score It flags weak or confusing questions, explains why they matter in real-world evaluation, and suggests stronger versions you can accept in one click. No manual back and forth. No subjective quality checks. No guessing whether your test is strong enough. Just better assessments, built faster and with confidence. If hiring quality matters to you, assessment quality should too. #TechnicalHiring #SkillAssessment #AIInHiring #RecruitmentInnovation #WeCP

Thank you everyone for your support 🙏🏻

Most hiring processes are still built for a world before AI. That gap is starting to hurt hiring decisions. Engineers use AI to explore ideas, ask better questions, and debug faster. But many hiring processes still evaluate them as if AI does not exist. The real challenge is not AI usage. It is understanding whether the thinking behind the answer is real. At WeCP | We Create Problems, we do not ban AI. We assess how candidates actually work with it. In this video, we show how teams can spot AI-fluent engineers with WeCP by 👉 Designing interviews around real project work 👉 Allowing AI during live coding instead of banning it 👉 Evaluating reasoning, exploration, and improvement 👉 Prioritizing process over polished final answers Hiring needs to evolve, just like engineering has. #Recruitment #TechHiring #AIEngineers #SkillsBasedHiring #WeCP

🚀 WeCP | Q4 2025 Product Highlights We just wrapped up a strong quarter of product improvements, new features designed to make talent evaluation more accurate, trustworthy, and user-friendly. The latest updates span assessments, proctoring, reporting, integrations, candidate experience, and platform security - helping teams hire with confidence and efficiency. #wecpfeatures #wecp #changelog

WeCP allows for the assessment of Pyspark experts based on their practical skills. Candidates receive tasks, such as creating a resilient distributed dataset from a list of words and counting the words, and reading a text file to count the lines using a resilient distributed dataset. The platform provides the necessary files and task details, enabling candidates to implement code, run it, and submit it for testing against predefined test cases. This process allows for a thorough evaluation of Pyspark proficiency. #Pyspark #DataEngineering #Assessment #BigData #Spark