Reading sequence

AI Agents in Practice

4 publications

Building AI agents with Python: frameworks, patterns, tools, and production lessons.

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  1. 01

    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.

    6 min readArtificial intelligence
  2. 02

    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.

    5 min readSecurity
  3. 03

    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.

    12 min readArtificial intelligence
  4. 04

    Inside the Fackel harness: parallel agent lanes in a terminal

    How Fackel's interactive harness renders parallel pentest agents in separate lanes, handles inline approvals without freezing, and survives Ctrl-C — the design choices behind the terminal.

    8 min readSecurity
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