Essential interview patterns
Prepares you for 60% of the interviews at 20% effort
+ more
Meet the interview preparation platform for next-gen software engineering interviews
By the team behind GreatFrontEnd
By the team behind GreatFrontEnd
Review this AI-generated code.
Review this AI-generated code.
What happens if two customers try to buy the last item?
Both requests could read one remaining and pass the check. I’d make the stock check and decrement atomic, and create the reservation in the same transaction.
In a matter of just a year, many companies have changed the way they interview candidates
GooglePublished
Google confirmed plans for a Gemini-assisted code-comprehension pilot on selected US teams.
EmployerPlanned pilot
SpeakPublished
Speak reported replacing traditional coding screens with engineering take-homes that use coding agents.
EmployerAssessment redesign
AnthropicPublished
Anthropic redesigned its performance-engineering take-home as Claude models overcame earlier versions; AI assistance is allowed for this assessment.
EmployerAssessment redesign
MetaPublished
Meta announced an AI-enabled coding-interview pilot that encourages participating candidates to use authorized AI tools.
EmployerPilot
WorkOSPublished
WorkOS described a redesigned technical screen built around a realistic backend problem, with candidates evaluated on technical ability, debugging, and communication; AI tools are permitted.
EmployerAssessment redesign
CodeSignalPublished
CodeSignal launched AI-assisted coding assessments and interviews with its Cosmo assistant embedded in the coding environment.
PlatformProduct launch
CognitionPublished
Cognition incorporated AI into technical interviews, encouraging candidates to use it when building work similar to the role.
EmployerInterview update
ArcadePublished
Arcade expects technical candidates to use AI on its take-home exercise and submit transcripts of their AI conversations.
EmployerAssessment update
KaratPublished
Karat launched NextGen interviews, combining live human interviewers with multi-file engineering projects and an integrated AI assistant.
PlatformProduct launch
CoderPadPublished
CoderPad introduced Projects: asynchronous, multi-file assessments in VS Code, with an AI chat assistant and session playback.
PlatformProduct launch
CanvaPublished
Canva piloted AI-assisted screening for backend and frontend candidates, including reviewing and improving AI-generated code.
EmployerPilot
HackerRankPublished
HackerRank announced an AI Interviewer for initial technical screens, using contextual hints and follow-up questions to examine candidates’ reasoning.
PlatformProduct announcement
Our mission is to constantly evolve with these
With insiders at every major company, we are constantly collecting emerging trends and distilling them into patterns within our vast database
142 this quarter12 this week3 today
Compiled by analyzing interview rounds at major tech companies
1,412
Observed questions · 80+ companies · this year
Prepares you for 60% of the interviews at 20% effort
+ more
There is a lot to cover. Focus your remaining preparation on the topics most relevant to your target company.
Recomputed forGoogle · Stripe
Last 10% of potential questions, distilled into patterns
We use study methods that help you retain knowledge and strengthen your skills
Digest content more easily - be it interview round knowledge or technical know-how
Explain why the invariant still holds after the update.
The window never re-expands
Each element enters and leaves once
When should the left edge of the window advance?
When a character repeats inside the window
After every iteration
What keeps the total traversal work linear?
Sorting the characters before scanning
Both pointers only move forward
After practicing a question, get drilled on questions of similar patterns
Longest substring without repeats
Find the longest substring that contains no repeated characters.
Sliding windowPair sum in a sorted array
Find two values in a sorted array whose sum matches the target.
Two pointersMerge overlapping intervals
Combine overlapping intervals into a set of non-overlapping ranges.
IntervalsSolve problems while speaking decisions aloud to an AI interviewer
What alternative did you reject, and why?How do you know this approach is linear?What happens when you encounter a duplicate?
I dropped the heap because the window bounds it. Each element enters and leaves once. Both pointers only move forward. Each character is added and removed at most once, so the work is linear. I move the left edge past its previous position, but never backward. The window stays free of duplicates.
Find and fix bugs in simulated large codebases
worker/queue.ts · +12 −4
AI-enabled rounds are trending now. Practice using AI to solve problems and build interview-sized projects
Build a rate-limited API gateway
Get drilled on questions you could not solve at research-backed intervals
Before attempting any question, get a quick tutorial on the pattern & its variants
Sliding window — an interactive tutorial
3 min·5 stepsStart
Longest substring without repeats
Unlocks after the tutorialBesides automated tests, we tell you exactly how to improve your code to meet expectations
The solution passes, but the memory trade-off needs a clear defense.
While practicing, receive hints that cement the right concept
Think about what happens when the same character appears twice.
Track what must remain true after every loop iteration.
Move the left edge just past the repeat, then extend again.
Loopstride helps software engineers prepare for interviews in the AI era. It combines practice for emerging round types with a structured study plan informed by recent interviews, plus the materials and learning methods to build and retain the skills those rounds require.
Practice using AI to solve problems and build interview-sized projects, debugging and refactoring existing code, and explaining your decisions. Coding and system design drills develop the underlying patterns, helping you apply technical knowledge and explain your reasoning.
We follow changes in the questions companies ask, interviewer expectations, and assessment formats, then distill those signals into reusable patterns and preparation priorities. Loopstride is being built to keep that preparation evolving as interviews change.
Start with essential interview patterns that build a broad foundation. Then select a target company to prioritize the remaining preparation, followed by rarer patterns and technical depth. The package organizes your preparation around relevant skills and recurring patterns.
The package brings together bite-sized guides, per-pattern tutorials, questions, solutions, and tests. Tutorials introduce patterns and their variants; questions and related drills help you apply them. Progressive hints and feedback support you when you get stuck.
Dynamic quizzes check your understanding, and related-pattern drills help you apply an idea to different questions. Spaced repetition brings back questions you could not solve, giving you repeated opportunities to strengthen and retain those concepts.
Automated tests check your code, while tailored feedback explains where it falls short and how to improve it. Narration practice also helps you explain your choices and work through the trade-offs behind your approach.
The quarterly plan is $39 per month, billed $117 quarterly. The semi-annual plan is $29 per month, billed $174 semi-annually. Both plans include all features and 1,000 subsidized AI credits each month.
Yes. You can bring your own AI access, including if you use up the subsidized credits included with your plan.
Loopstride is preparing for launch. Joining the waitlist is free and does not purchase access or commit you to a billing plan. We will email you when the product is available.