Security & Quality
Shipping AI-generated code safely: sandboxes, permissions, audit logs, testing strategies and pre-production review. We cover how to keep an autonomous agent inside guardrails and how to verify what it produces before it reaches users.
This section treats tests as the new prompt and code review as a shared job between humans and agents — so speed never comes at the cost of a security incident or silent regression.
Tests Are the New Prompt: Making AI Write Verifiable Code
A prompt is a lossy spec; a test is one the machine can evaluate. Here's why AI-written code needs a verifier, the failure modes tests catch, and a concrete workflow that lets an agent iterate to correct code without you in the loop.
Securing AI Coding Agents: Sandboxes, Permissions and Audit Logs
AI coding agents can run shell commands, push commits and call services on their own. This guide covers the three controls that actually contain them: permission models, OS-level sandboxes and tamper-evident audit logs, grounded in OWASP, Claude Code, Codex and Copilot docs.