This is the next instalment in both the StyloAgent and GEPA article series. It continues The StyloAgent Workflow, Part 2 and Evolving Decision Policies with GEPA and Decision Models, bringing persistent agent coordination and evaluated policy evolution…

The StyloAgent Workflow: How I Build and Manage Large (and HUGE) Systems Using Code LLMs (Part 2)

Part 1 was the shape of the thing. This part is what it does. A model only earns its keep under real work : dropping the fleet on a codebase it has never seen, pushing one change across repositories, and keeping a decision trail that survives a restart. This…

The StyloAgent Workflow: How I Build and Manage Large (and HUGE) Systems Using Code LLMs (Part 1)

This is Part 1 of two : the problem and the StyloAgent model. Part 2 : The Workflow in Practice applies it. Code generation stopped being the problem a while ago. The models write good code. They follow the conventions in the file they are editing, and if you…

Fetching and Analysing Web Content with LLMs in C#

📌 Note: This article teaches the fundamentals of web content extraction with LLMs using the simplest possible approach. For production use cases (web summarization, document analysis, agent tools), see DocSummarizer GitHub release - it implements the…

Why I Don't Use LangChain (and What I Do Instead)

I'm a .NET developer. When I started building LLM-powered systems, everyone pointed me toward LangChain. "It's the standard," they said. "All the examples use it." And they were right - if you're in the Python ecosystem, LangChain is everywhere. But here's the…