Kubernetes 1.35, released in January 2026 and now supported on Amazon EKS and EKS Distro, marks a significant milestone in container orchestration—particularly for AI/ML workloads. This release introduces In-Place Pod Resource Updates, allowing you to resize CPU and memory without restarting pods, and Image Volumes, a game-changer for delivering large AI models using OCI container […]
Read more →Author: Nithin Mohan TK
Mastering C# Records: When, Why, and How to Use Them in Production
After years of working with C# in enterprise environments, I’ve seen developers struggle with the same question: when should I use a record instead of a class? The answer isn’t as straightforward as the documentation suggests. In this article, I’ll share my perspective on records—battle-tested patterns, surprising gotchas, and the decision framework I use in […]
Read more →From AI Pilots to Production Reality: Architecture Lessons from 2025 and What 2026 Demands
A Beginning-of-Year Reflection for Enterprise Architects and Technical Leaders As we step into 2026, it’s worth pausing to reflect on the seismic shifts that defined enterprise architecture in 2025—and the hard lessons learned when AI hype met production reality. What began as breathless excitement around generative AI and LLMs has matured into a more nuanced […]
Read more →AI Predictions for 2026: What to Expect Based on 2025 Trends
2025 was the year AI moved from experimentation to production. We saw RAG become mainstream, multi-agent systems go live, and production AI architectures mature. After building 50+ AI systems this year and tracking every major development, I’m seeing clear patterns that point to what’s coming in 2026. Here’s my comprehensive forecast based on real-world experience […]
Read more →AI Engineering in 2025: The Year That Changed Everything – A Comprehensive Review
A comprehensive review of the most transformative year in AI engineering history. From GPT-5.2 to Gemini 3, xAI’s Grok 4, DeepSeek’s rise, Kimi K2’s emergence, regulatory shifts, and what’s coming in 2026.
Read more →Getting Started with Full Stack AI Engineering: A Practical Guide for 2026
A comprehensive guide to becoming a Full Stack AI Engineer in 2026. Learn the complete stack from frontend to infrastructure, with practical code examples using GPT-5, Python, FastAPI, LangChain, and Next.js for building AI-powered applications.
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