It's all about AI transformation déjà vu: This article provides a look into why today’s failures look uncannily like yesterday’s “Agile transformations.”
The focus of this article is to talk about the fast pace of change in models and the consequent updates we need to make to our LLM-powered solution design.
Sharing my experience of working in multiple design system teams, and it will not be a technical post, but more about the goals, pains, and successes of it.
Your AI chatbot is failing in ways traditional analytics can't see. This leaves you, the Product Manager, guessing what to fix based on vague user complaints.
Converting large-scale enterprise data between systems is less about perfection than about making the right tradeoffs and engineering for scale and flexibility.
Kubernetes growth brings cluster and tool sprawl, driving complexity, cost, and security risks. Learn about emerging solutions like platform engineering and AI.
In this article, I’d like to share my experience and best practices for API-first development in SaaS, highlighting five key aspects you should consider.
Learn resilience strategies for Google Cloud data pipelines. Balance latency, reliability, and recovery with Pub/Sub, Dataflow, BigQuery, and SRE practices.
Replaced Redis rate limiter with Cloudflare Durable Objects, achieving 5ms response times (vs 150ms), 70% cost savings, and global edge performance at 500+ req/sec.
Testing JavaFX programs may seem non-trivial at first. This article describes the most common mistakes when testing desktop apps, their causes, and solutions.