Migrating legacy monolithic systems to the cloud is risky. Here is a proven pattern for automating regression testing at scale by replaying production traffic.
This article explains how to build a self-healing observability system with AWS Bedrock AgentCore using AI agents to analyze and remediate infrastructure issues.
MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.
In the age of AI, UX Research must evolve from validation to proactive problem framing. Researchers who study trust, inclusion, and intent shape AI that works for people.
Selenium adoption is easy; scaling is hard. Use explicit waits, Page Object Model, and stable locators. Treat test infrastructure as a real engineering investment.
Testcontainers enables realistic integration testing with broad language support while balancing fidelity, performance, and nuanced adoption strategies.
This article demonstrates a "Threat-Model-First" workflow where we use AI not just to write code, but to aggressively attack our logic before we implement it.
In this article, I want to take a closer look at the pitfalls of popular SaaS scaling strategies, drawing on my own experience, and share the lessons learned.