Davit Khachatryan

When a developer on my team accidentally corrupts 56 files and deletes a secrets file, we don't just "fix it" and forget. We hold a lessons-learned exersize. We update our processes. We ensure it never happens again. Yet, when our AI coding assistants fail, we usually

The tech world is currently split between two realities. On one side, social media celebrates AI as a magical force—"build an app while you drink coffee" videos that rack up millions of views. On the other side, enterprise engineering teams are navigating distributed systems, compliance constraints, multi-environment

Confused about why your GitHub MCP setup works in one tool but not another? You're not alone. Claude Code, Copilot CLI, and Amazon Q all speak MCP — but they each store config in different places, authenticate differently, and have their own quirks. This post cuts through the noise.

Three layers that control what Claude knows, how it behaves, and what it remembers across sessions. When you start working with Claude Code in your projects, you’ll notice it can be configured at different levels. Understanding the distinction between these three layers will save you from configuration headaches and

In the era of Generative AI, "speed" is no longer a vague feeling. Whether you are building a local "home brain" on Ubuntu or scaling a cloud cluster, the rules of computing have fundamentally shifted. To navigate this, you must understand the hardware physics and the

The world of AI-assisted coding is moving faster than most developers can keep up with. We’ve moved from basic autocompletion to "vibe coding," and now, we are entering the era of Agentic IDEs. At the forefront of this shift is Kiro, a new standalone environment from AWS

For a long time, we’ve known Ollama as the ultimate model-runner. It was the go-to tool for downloading weights and spinning up a local chat interface in seconds. But as of early 2026, Ollama is outgrowing that label. With the introduction of the ollama launch command, it has evolved