Posts

The Architect’s New Blueprint: System Design in the Age of GenAI

Image
The Architect’s New Blueprint: System Design in the Age of GenAI System design has always been the hallmark of senior engineering. It is the art of balancing trade-offs to build something that doesn’t just work, but lasts. However, the rise of Generative AI is fundamentally shifting the Software Development Life Cycle (SDLC). We are moving from a world where we write code to a world where we orchestrate intelligence. This shift requires a new way of thinking about High-Level Design (HLD) and Low-Level Design (LLD). Designing a system that includes a non-deterministic “brain” (the LLM) is vastly different from designing a traditional CRUD application. Press enter or click to view image in full size Generated by AI How GenAI is Changing System Design GenAI is an incredible accelerator for documentation and visualization. Today, architects can use LLMs to: Generate Initial Blueprints:  By describing requirements in natural language, AI can suggest a baseline HLD, identifying necessary...
Post a Comment
Read more
Image
The AI Era: Is It Enhancing or Erasing Our Core Skills? (And Why Traditional Coding Interviews Must Evolve) We are in the midst of a tectonic shift in software development. With Large Language Models (LLMs) like ChatGPT, GitHub Copilot, and Claude generating boilerplate, optimizing functions, and writing entire scripts in seconds, the role of the developer is fundamentally changing. We are moving from being  “code typers”  to  “code directors.” But as AI handles the heavy lifting of manual coding, an important debate has emerged:  Is AI improving our foundational cognitive skills, or is it slowly killing them?  And more importantly, if AI can write the code, how should we be hiring the engineers of the future? Let’s dive into how AI is impacting our core skills, what skills are actually important now, and why the traditional technical interview is broken. Press enter or click to view image in full size Generated by AI Is AI Improving or Killing Our Core Skills? ...
Post a Comment
Read more
Image
AI System Design Patterns: The Architecture Decisions That Make or Break Production AI Most teams choose their AI architecture the same way they choose a restaurant on a busy Friday night. They go with whatever worked last time and hope for the best. That instinct is expensive. Because AI systems fail in ways traditional software does not. They degrade silently. They scale unevenly. They consume infrastructure that was never designed to handle the memory, latency, and non-determinism that production AI demands. The architecture you pick on day one will either accelerate you or quietly strangle you eighteen months later. This is a practitioner’s guide to the major  AI system design patterns , what each one is, where it genuinely wins, and where it falls apart when exposed to real conditions. Press enter or click to view image in full size Genrated by AI Why AI Architecture Is Not Just Software Architecture with a Model Plugged In Traditional software is predictable. You write a func...
Post a Comment
Read more