Ai

In the last few days, we’ve witnessed a significant milestone for the global software ecosystem. A powerhouse coalition of tech leaders (including Anthropic, AWS, GitHub, Google, Google DeepMind, Microsoft, and OpenAI) has committed $12.5 million in grant funding to advance open-source security. This isn’t just another corporate donation; it’s a strategic investment in the very foundation of modern technology. Why This Matters Now Open-source software (OSS) is the bedrock of everything from cloud infrastructure to the apps on your phone. However, as the ecosystem grows, so do the threats. We are currently seeing an “unprecedented influx” of security vulnerabilities, many discovered by automated AI systems. ...

Next week, I’ll be in Amsterdam for KubeCon EU 2026 (you can read my preview here), and my journey starts this Monday with the GitHub Social Club: Amsterdam. I was lucky enough to snag an invitation via LinkedIn and jumped at the chance to join. As someone who has used GitHub for years (both for personal projects and corporate needs) I’ve always appreciated the platform’s reliability. However, after a month of putting GitHub Copilot Pro through its paces, I’m genuinely surprised it isn’t even more ubiquitous. If you aren’t a “super heavy” coder but want access to the best tools, this is arguably the highest value-for-money platform in the AI space right now. ...

Quick Follow-Up After publishing the initial ACTUI article, I kept developing the tool. I started using it regularly and shared it with my team. Some feedback came in, and I naturally improved things during my free time. This is a quick update on what changed. What Changed Submenu Structure The original flat menu worked for a demo but felt cluttered with more features. I restructured the interface into three main sections: ...

Introduction to the AI Frontier The AI race has largely boiled down to a high-stakes contest between the US and China. On one side, established US companies like Anthropic, OpenAI, Google, and X have continuously pushed the boundaries of frontier AI models. Anthropic, the research lab behind Claude, is best known for its focus on AI safety and its unique ‘constitutional’ approach to alignment. Meanwhile, several Chinese tech firms have been fast-tracking models to compete with the best systems coming out of the US. This competition reached a turning point when Anthropic revealed it had been targeted by industrial-scale ‘distillation attacks’ from three major Chinese AI labs. ...

As a DevSecOps Team Leader, my job is to secure customers using modern technologies. Sounds straightforward, right? The reality is far more complex. Every day, I face the challenge of enabling innovation while maintaining security. The rapid adoption of AI has introduced a new dimension to this challenge: agentic AI assistants that do not just chat, they act. This challenge connects directly to something I wrote about recently. In my article on spec-driven development with GitHub Spec-Kit, I discussed how structure and governance matter when using AI for coding. The same principle applies here: when AI agents can execute code, access secrets, and operate with user privileges, we need structure and governance more than ever. ...

Introduction: Theory Meets Practice In my previous article about GitHub Spec-Kit, I explored the theoretical foundations of spec-driven development: why structured AI workflows matter for compliance, auditability, and team collaboration. I discussed the high-level concepts of audit trails, liability, and how spec-kit transforms “vibe coding” into a rigorous, documented process. Today, I’m sharing something different: a raw, unfiltered hands-on experience building a real tool from scratch using spec-kit. This is a chronological journey documenting what actually happened when I let spec-kit drive the development process from constitution to working code. ...

Introduction: From Web Chatbots to CLI Tools AI is a powerful tool, and for IT professionals, the most effective way to leverage it is through CLI tools like GitHub Copilot CLI, Claude Code, Gemini CLI, or similar agents. In previous articles like GitHub Spec-Kit, I explored spec-driven development and structured AI workflows, but I realized I skipped fundamental concepts: why CLI tools beat web chatbots and how to standardize your AI setup for portability. ...

What is ClawdBot/MoltBot/OpenClaw? For those unfamiliar with the project, OpenClaw (formerly MoltBot, previously ClawdBot) is a personal AI assistant platform that integrates with multiple messaging channels including WhatsApp, Telegram, Discord, Slack, Signal, iMessage, and many others. The project is available at github.com/openclaw/openclaw and maintains a website at openclaw.ai. The tool is designed to be a “local-first, single-user assistant” with capabilities that include shell command execution, filesystem operations, browser automation, and integration with various cloud services. It’s essentially a bridge between AI models and your entire digital ecosystem. However, OpenClaw does not provide model access itself; users must configure it with their own API keys from providers like Anthropic, OpenAI, or others. ...

Introduction: Spec-Driven Development vs. Vibe Coding If you’ve been working with AI coding assistants, you’ve probably experienced what some call “vibe coding”, throwing prompts at an LLM and hoping for the best. Sometimes it works brilliantly. Other times, you end up with code that technically runs but doesn’t align with what you actually needed, or worse, introduces architectural decisions that create technical debt down the road. Spec-Driven Development (SDD) flips this approach on its head. Instead of starting with code and documenting later (if at all), you begin with comprehensive specifications that define the what and why before anyone, human or AI, writes a single line of code. The specification becomes the single source of truth, guiding implementation and ensuring alignment across the entire team. ...

AI is part of our daily life, and I’m not afraid to say that I’m using it regularly for personal tasks. Naturally, I keep and respect the confidentiality of data, and I use my knowledge to understand what AI is telling me back; AI without being driven the correct way can produce absolute garbage. Now I’m transitioning from chatbot to AI CLI usage. I’m a victim of Network Chuck’s enthusiasm, so I wanted to build my first AI agent for publishing content on my personal blog. See below how I did it in minutes. ...