Back-of-the-Envelope Calculations
Master the art of quick, accurate estimations that every staff+ engineer uses in system design interviews and real-world architecture discussions.
Read More
Learn how to create a cache and what it is used for when optimizing systems. This is a fundamental concept you should know well for System Design Interviews.
Read More.jpg)
Master the art of quick, accurate estimations that every staff+ engineer uses in system design interviews and real-world architecture discussions.
Read More
Deep dive into rate limiting algorithms (Token Bucket, Leaky Bucket, Sliding Window) with distributed system implementations and real-world pitfalls.
Read More
How consistent hashing powers distributed caches like Redis Cluster and DynamoDB — complete with visualizations, replication strategies, and virtual nodes explained.
Read More
From in-memory hash maps to distributed giants like etcd and DynamoDB: design trade-offs, CAP theorem implications, and LSM vs B-Tree storage engines.
Read More
The MIT spinout Silverthread helps companies transform complex codebases into modular systems that can be changed or updated without headaches.
Read More
High Resolution PDFs/Images Big Archive: System Design Blueprint: Kubernetes tools ecosystem.
Read More
This was one of the finest articles about the system design and its industry impact in this new era of Leetcoders.
Read More
In this article, I'll walk you through the 30 most important System Design concepts every developer should know.
Read More
Backend development has evolved dramatically. As we step into 2026, the landscape is shifting faster than ever, driven by the demand for scalable, efficient, and highly maintainable systems.
Read More
Java and Spring Boot are quietly dominating again in 2026 with mature integrations, simplicity, and performance. Key shifts include virtual threads as default and production-ready AOT.
Read More
In 2026, backend development focuses on higher concurrency, API-first architectures, async execution, intelligent caching, and frameworks chosen for throughput and AI readiness.
Read More
From AI and Machine Learning deeply embedded in backend workflows to the resurgence of serverless as a cornerstone strategy and microservices with advanced containerization.
Read More
Discover the top frontend trends for 2026: meta-frameworks, hybrid rendering, AI-driven workflows, and what developers expect from React, Next.js, Svelte, and Astro. React and Next.js still dominate, but faster, lighter alternatives are rising. Here’s what the data and developers say about the year ahead.
Read More
In this blog post, we'll consider how AI-first tools continue to reshape long-established development cycles and become common helpers of developers. Then, you’ll learn if traditional frontend technologies stay relevant in this new landscape. Additionally, we’ll highlight the impact of AI on open source and the project management industry.
Read More
Discover the essential frontend developer skills for 2026. This article dives into the key competencies every frontend developer and team lead should master by 2026. We'll look at the intersection of AI, low-code platforms, and enduring human skills in the evolving landscape of web development.
Read More
What trends will define web development in 2026? Check out the eight most important trends of the year, from AI-first development to meta-frameworks, TypeScript standardization, edge computing, and more. As we look toward 2026, we’ll explore the trends set to define web development – not as distant predictions, but as near-term outcomes of where the ecosystem is already headed.
Read More
A practical 2026 DSA guide emphasizing foundations for problem breakdown and optimal choices. Focus on essentials (binary search, two pointers, sliding window, recursion, patterns) while skipping inefficient grinding. AI generates code, but DSA mastery delivers irreplaceable understanding of performance and scalability.
Read More
Essential 2026 backend DSA toolkit: arrays/strings patterns (two-pointers/sliding windows), hash tables, trees/graphs (BFS/DFS), heaps/tries, binary search, Big O, plus caching/indexing/vector store instincts. AI accelerates generation but can't replace human judgment on trade-offs, latency, and production realities.
Read More
Phased 6-month 2026 roadmap for students targeting FAANG: Month 1 foundations (language, complexity, recursion); Months 2-3 core linear structures/searching; Months 4-5 trees/graphs/heaps/DP; Month 6+ top patterns, LeetCode, mocks, and projects. Stresses consistency and pattern recognition amid AI advancements.
Read More
Debunking the 2026 'DSA is dead' myth: AI handles implementations and boilerplate quickly, but algorithmic thinking evolves for real-world optimization, trade-offs, high-dimensional data, and scalable systems. Don't abandon DSA—it's more relevant than ever for strong engineering careers.
Read More
An essential introduction to Git as a distributed version control system: learn its core features (branching, staging, speed), object model (blobs, trees, commits), basic terminology, and key commands like init, add, commit, branch—perfect starting point for mastering version control.
Read More
Core recommendations including commit often, clear messages, branching strategies, pull before push, using .gitignore, and keeping repositories lean for reliable version control.
Read More
Practical, real-world Git commands and techniques including undoing commits safely, blame mastery, stashing workflows, and more to boost daily productivity and avoid common pitfalls.
Read More
Explore atomic commits, branching strategies (GitFlow, feature branching), effective commit messages, and ways to reduce conflicts while improving team coordination and code quality.
Read More