DSA
Master problem solving, algorithms and data structures.
Learn, practice, and build the skills you need to become a better software engineer.
DSA, LLD, HLD, AI, System Design, Interview Preparation and Engineering Resources — all in one place.
DSA and algorithms
322 questions
LLD and design patterns
138 problems
HLD and distributed systems
61+ lessons
RAG, agents and production AI
152 lessons
Practice and guided preparation
Real scenarios
Deep dives and practical guides
70+ articles
Explore Archtin
Choose a skill, understand the foundations, then move into deliberate practice.
Master problem solving, algorithms and data structures.
Design maintainable, extensible and scalable software.
Learn how to design systems that scale from thousands to millions of users.
Go from AI fundamentals to building production-grade AI systems.
Prepare for real software engineering interviews.
Deep dives into software engineering, AI, backend, cloud and more.
Guided journeys
Follow an intentional sequence instead of guessing what to study next.
Deliberate practice
Browse every catalog first. Sign in only when you want to save, submit, or get feedback.
Move from first principles to reliable production AI through structured lessons, visual labs, projects, and architecture practice.
How Archtin works
A continuous loop for building engineering judgment, not just memorizing answers.
01
Understand concepts through structured learning paths.
02
Solve real DSA, LLD and HLD problems.
03
Build practical AI and engineering projects.
04
Track progress and improve through feedback.
Engineering resources
Practical deep dives written for engineers who want to understand how systems really work.
Search engines do not scan documents at query time. They reverse the problem: terms point to documents. Follow one sentence through analysis, postings, intersections, scoring, segments and distributed retrieval.
Two workers, one cron, one payout — sent twice. A mutex cannot help you here: there is no shared memory to guard. This is what a distributed lock really buys you, and what it quietly does not.
Ten questions cover most of what senior system design interviews actually test. Here is a crisp answer to each, the trap hidden inside it, and a deep dive link when you want the full reasoning.
A database at 100% CPU is rarely out of capacity. It is usually one bad plan, one missing index, or one broken cache. Here is the order to check things in — and how to say it in an interview.
Traffic does not break systems uniformly. It finds the one resource with the lowest ceiling — usually database connections or worker threads — and everything downstream cascades from there.
A like looks trivial and is one of the best scale questions there is: extreme write volume, extreme read fan-out, hot keys, and a count that must be fast but only approximately correct.
Loved by engineers
"Finally, an interview prep that doesn't grade me like a compiler. The AI's follow-ups felt eerily close to my Stripe loop."
"I run mocks on Archtin before every onsite. The tradeoff prompts forced me to actually defend my designs."
"Cleared L5 LLD in two weeks. The Parking Lot review caught coupling I'd ignored for months."
Pricing
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