Automated first-round technical interviews. AI asks system design, coding concepts, and technical questions. Evaluate communication and problem-solving without engineer time.
Less Engineer Time
On interviews
Faster Screening
Average reduction
Tech Questions
In our library
Availability
Candidates choose time
Built for engineering hiring
500+ questions covering algorithms, system design, web, mobile, DevOps, and more.
Candidates explain their approach on video. AI evaluates technical depth and communication.
AI asks about code snippets, pseudocode explanations, and algorithm approaches.
Score candidates on specific skills: problem solving, system design, communication.
Add your own questions about your tech stack, architecture, or domain.
AI trained on what good technical answers look like. Consistent scoring across candidates.
Comprehensive coverage across engineering disciplines
Algorithms & Data Structures
Problem-solving fundamentals
System Design
Architecture and scalability
Web Development
Frontend, backend, full-stack
Mobile Development
iOS, Android, React Native
DevOps & Cloud
AWS, GCP, CI/CD, Kubernetes
Machine Learning
ML concepts, model design
From application to engineer interview
Application
Candidate applies to role
AI Technical Screen
System design + concepts
AI Scores & Ranks
Objective evaluation
Engineer Interview
Only qualified candidates
Better technical hiring, less time
Less Interview Time
Only talk to pre-vetted candidates
Better Signal
See how they communicate tech
Consistent Bar
Same questions, fair process
Detailed Transcripts
Review exact answers
Screen Faster
AI handles first rounds
Better Qualified
Only technical passes advance
Candidate Data
Beyond resume signals
Engineer Buy-In
They see better candidates
Questions from our technical library
How would you design a URL shortening service like bit.ly? Walk me through the components and trade-offs.
Explain how you would find the k most frequent elements in an array. What's the time complexity of your approach?
Describe the differences between server-side rendering and client-side rendering. When would you choose each?
How would you set up a CI/CD pipeline for a microservices application? What tools would you use and why?
How engineering teams use AI screening
"Engineers were spending 15 hours/week on phone screens. Now AI handles first rounds and engineers only do 3-4 hours of final interviews with pre-qualified candidates."
75% Less Engineer Time
Series B
VP Engineering
"The system design questions are surprisingly good at filtering. Candidates who explain well on AI video also do well in live interviews. Strong correlation."
Predictive Accuracy
SaaS
Director of Engineering
"We use AI for communication and system design, HackerRank for coding. Together, they give us a complete picture before we invest engineer time."
Complete Assessment
200 engineers
Engineering Manager
Common questions about AI technical interviews
AI evaluates technical responses on multiple dimensions: accuracy of concepts explained, depth of understanding, problem-solving approach, communication clarity, and relevance to the question. For coding-related questions, it analyzes the logic described, edge cases mentioned, and solution efficiency.
For first-round technical screens, yes. AI can assess foundational knowledge, problem-solving approach, and communication skills. For deep technical discussions or pair programming, we recommend AI for first rounds and humans for finals. This typically reduces engineer interview time by 60%.
We have question banks for: data structures & algorithms, system design, web development, mobile development, DevOps, cloud platforms, databases, machine learning, and more. You can also create custom questions for specific technologies your team uses.
For video interviews: we record video continuously, use AI to detect anomalies (eye movement, audio), and can flag suspicious behavior. Questions can be randomized from pools. For truly critical roles, we recommend combining AI screening with a short live technical call for finalists.
Yes, you configure difficulty level. Junior screens focus on fundamentals and learning approach. Senior screens include system design, architectural decisions, and leadership questions. Staff+ screens can include technical strategy and mentorship assessment.
Those are pure coding assessment tools. Edesy is conversational - AI asks questions and candidates explain their thinking verbally (or via video). This assesses communication and reasoning, not just coding ability. Many companies use both: Edesy for soft skills + technical discussion, HackerRank for pure coding.
Explore other hiring scenarios
See how AI can screen technical candidates while your engineers focus on building.