Data Structures and Algorithms Blog Collection

Welcome to my curated collection of Data Structures and Algorithms blogs! These articles will be updated as I continue to make progress with my software development journey. For now I'm including articles I found interesting that will be of value for all readers.

The DSA Roadmap for 2026: What to Learn, What to Skip, and Why It Still Matters

AI Assistance, Core Patterns, and What Developers Actually Need

Explore the current state of Data Structures and Algorithms in 2026: foundational topics remain key (arrays, trees, graphs, DP), with emphasis on patterns like sliding window, two pointers, and BFS/DFS. AI helps generate code, but mastering DSA for Big O analysis, trade-offs, and scalable thinking is still essential for FAANG-level interviews and backend efficiency.

January 19, 2026

Data Structures and Algorithms in 2026: What Backend Developers Actually Need to Know (and What AI Can't Replace)

Algorithmic Thinking, Trade-offs, and Enduring Fundamentals

Key DSA competencies for 2026: arrays/strings with two-pointers/sliding windows, hash tables, tree/graph traversals (BFS/DFS), heaps, binary search, and Big O intuition. AI handles syntax, but humans excel at judging latency, caching, indexing, and production constraints—making these skills irreplaceable for strong engineers.

January 15, 2026

DSA Roadmap 2026: From Basics to FAANG for College Students

Roadmaps, Patterns, Practice Platforms, and Skills AI Can't Replace

In 2026, AI tools accelerate code writing and explanations, but DSA mastery focuses on problem decomposition, choosing optimal structures (heaps, tries, union-find), and avoiding performance pitfalls. Updated roadmaps highlight skipping outdated memorization in favor of pattern-based practice on LeetCode and understanding real-world scalability.

February 2, 2026

DSA is Dead! Long Live DSA! (Why You Still Need it in 2026)

Beyond Traditional Grinding: Patterns, AI Integration, and Practical Focus

Top trends shaping DSA in 2026 include structured calendars/roadmaps (foundation → core → advanced patterns), emphasis on 90+ patterns over random problems, inclusion of advanced topics like Heavy-Light Decomposition for trees, and a shift to realistic prep (6-10 months) that combines LeetCode practice with understanding why DSA remains crucial despite AI.

December 30, 2025

More posts coming soon — check back often or follow me for updates!

Summary

Thank you for exploring my Data Structures and Algorithms blog collection!

Make sure to check out the full blog archive here for more topics and materials!