Coding isn't what it used to be. AI implements faster than we can type, and agents are automating our tasks. But there's a bright side: we're evolving from implementors into architects and reviewers. Here's how to survive the shift.

AI agents don't just talk—they execute code. This guide covers the essential sandbox technologies (microVMs, gVisor, WebAssembly) and platforms (E2B, Modal, Northflank) that keep your systems safe while letting agents do their work.

OpenClaw (formerly Clawdbot) changed the game for local-first AI agents, effectively giving 'Claude with hands.' But great power comes with great responsibility. In this post, I dive into the architecture of OpenClaw, the security risks of 'vibe-coding', and how we can build safe autonomous ecosystems.

Hey there, AI enthusiasts! Ready to dive into the exciting world of Llama 3.2? This guide is your ticket to turning this powerful but pint-sized AI model into your very own customized assistant. We'll walk you through every step – from playing with pre-trained models to fine-tuning them to your specific needs, and deploying it locally with Llama Assistant.

Privacy in AI is a hot topic. I created Llama Assistant to provide a privacy-focused alternative to popular AI assistants like ChatGPT or Claude AI. In this blog post, I'll share my motivation behind creating Llama Assistant and how it differs from other AI assistants.

Django is a powerful and popular Python web framework known for its ease of use and flexibility. However, as your web application grows in complexity and traffic, it's crucial to optimize it for high performance to ensure responsiveness and scalability, especially if you're building data-intensive or large-scale applications. In this blog post, we'll explore various strategies and best practices for optimizing Django for peak performance.