Analysis · curated 21 Jul 2026
Build a Basic AI Agent From Scratch: Security III
First reported · updated · 2 reports ruxu.dev
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Why it matters
Defensive engineering guidance for AI agents shows practitioners concrete controls—sandboxing, prompt-injection trust boundaries, and schema validation—that reduce the blast radius of a compromised or manipulated agent.
A tutorial in the "Build a Basic AI Agent From Scratch" series walks through hardening an agent harness with a Docker execution sandbox, prompt-injection defenses that stop the model from treating tool output as instructions, JSON-Schema input validation, resource caps, secret management, and kill switches. The series ships an accompanying GitHub repo (basic-agent-harness) with each control isolated into auditable modules.