In October 2026, two bugs deep inside PHP — the language behind most of the web — pushed governments, hospitals and businesses to pull their websites offline. Here's what PHP2Shell actually is, how the memory bugs work in plain English, why it caused so much chaos, and exactly how to check and patch your servers.

I built a coding agent from scratch in Python — no frameworks, no LangChain — to understand how AI agents actually work. ReAct loops, tool use, security sandboxing, human-in-the-loop — here is every component, every design decision, explained from first principles.

Everyone uses ChatGPT. Few people understand how it actually works. I built a decoder-only Transformer language model from scratch in PyTorch — no nn.TransformerDecoder, no Hugging Face — to demystify the architecture behind GPT-2. Here is every layer, every matrix multiply, every design decision.

You're staring at five dashboards at 2 AM, trying to figure out why production is down. What if the first hour of investigation could happen automatically? I built an AI Incident Response Platform — here's why, and the architecture behind it.

You type a question, hit Enter, and the answer streams in word by word. But what actually happens behind the scenes? I built an Enterprise AI Assistant from scratch — here is every single step, from keypress to rendered response.

Basic RAG breaks under complex, relational queries and returns dull Markdown walls. Here's how I rewired my AI app into a Supervisor–Worker multi-agent system, fused it with GraphRAG via Neo4j, and replaced static text with streaming Generative UI components.

I built a production-ready Enterprise AI Assistant using Retrieval-Augmented Generation (RAG) and Mistral LLM. Here’s the architecture, tech stack, and real-world use cases behind this scalable AI system.

Explore how Generative AI is revolutionizing the BFS sector with smarter decisions, proactive fraud detection, and simplified compliance — all with less code.