AI Agents in Practice
Building AI agents with Python: frameworks, patterns, tools, and production lessons.
Posts in this series
- 1. The State of the Art in AI Agents (2026): What ‘Modern’ Actually Means
A practical overview of modern AI agent systems: tool use, retrieval, memory, verification, multi-agent patterns, evaluation, and security.
- 2. Fackel: an autonomous pentest framework powered by ReAct agents
Fackel: a multi-agent pentest framework where LLMs decide strategy. Architecture walkthrough, design decisions, and lessons learned.
- 3. LangGraph, CrewAI, and Agno: getting started with AI agents in Python
A practical guide to getting started with AI agents. Three frameworks, the same problem, real examples, and an honest comparison.