How technologists can harness AI’s full potential, safely and responsibly.
Traditional testing won’t cut it. To build intelligent, reliable AI systems, product teams need a new playbook.
Integrate AI Across Your SDLC to Ship Features Faster, Cut Costs, and Capture 4X ROI
From Data to Deployment: Why LLM Supply Chain Security Is the Next DevSecOps Frontier
AI’s Mood Swings: From 10x Productivity Dreams to Burnout, Bubble Talk, and AGI Anxiety
LLMOps is often described from an MLOps perspective. Here's an assessment of LLMOps from a DevOps perspective
From Python Scripts to LLMs: Understanding When to Use AI, Automation, or Both in Modern Tech Stacks
Why AI Ethics Starts with Human Self-Reflection: Addressing the Root Causes of AI Bias and Misinformation
Digital sovereignty in the age of AI, and the crucial role that open-source LLMs could play in achieving it.
How Asking the Right Questions Can Help You Build Smarter, More Effective AI Workflows
