LLMs

7 articles on this topic

AI Integration

AI Integration with Legacy Systems: No Rebuild Required

The Claude Code leak exposed 512K lines of a production AI agent. Here's what every developer building agents needs to take away from the architecture.

Apr 17, 2026·12 min read

Claude Mythos

Production Agentic AI Architecture: What Anthropic's Mythos Scaffold Actually Teaches Builders

The Claude Code leak exposed 512K lines of a production AI agent. Here's what every developer building agents needs to take away from the architecture.

Apr 10, 2026·12 min read

AI-Agent Design

Production AI Agent Architecture: Lessons from Claude Code's 512,000-Line Source Code

The Claude Code leak exposed 512K lines of a production AI agent. Here's what every developer building agents needs to take away from the architecture.

Apr 4, 2026·23 min read

Multi-Agent AI

When NOT to Build a Multi-Agent AI System (And What to Do Instead)

Gartner predicts 40% of agentic AI projects will be canceled by 2027. Learn the decision framework engineers use to avoid costly multi-agent over-engineering.

Apr 3, 2026·12 min read

Agentic AI

Why Agentic AI Fails in Production — and What Engineering Teams Do Differently

Most agentic AI pilots fail before production — not because of the model, but because of missing infrastructure. Here's what engineering teams fix first.

Apr 1, 2026·12 min read

Context Engineering

Context Engineering: What Comes After Prompt Engineering

Prompt engineering got AI into demos. Context engineering is what makes it work in production. Here's what it is, why it matters, and how to start.

Mar 25, 2026·11 min read

RAG

RAG vs Fine-Tuning: Which Should You Actually Use for Your Business?

RAG gives your model better information. Fine-tuning gives it better behaviour. Here's how to decide which you need — real costs, clear framework.

Feb 21, 2026·11 min read