AI Engineer · April 10, 2026

Why, and how you need to sandbox AI-Generated Code? — Harshil Agrawal, Cloudflare

video AI Engineering Prompt Engineering AI Compliance

Why, and how you need to sandbox AI-Generated Code? — Harshil Agrawal, Cloudflare video thumbnail

Why it matters

AI Engineer session on Why, and how you need to sandbox AI-Generated Code?, presented by Harshil Agrawal, Cloudflare. It adds practical context for how teams are building and operating AI systems in production.

My takeaway: Why, and how you need to sandbox AI-Generated Code? — Harshil Agrawal, Cloudflare is a red-team signal. The practical read is to turn the failure mode into concrete test cases, containment checks, and regression coverage before similar systems reach production.

Keep exploring

More curated notes connected through AI Engineering and Prompt Engineering.

OpenAI News · framework

OpenAI’s Frontier Governance Framework

OpenAI's 22-page Frontier Governance Framework maps its frontier-model processes to California's Transparency in Frontier AI Act and the EU AI Act's general-purpose AI code. It documents lifecycle risk assessment, cyber-offense and other risk tiers, mitigation and residual-risk decisions, critical-incident handling, security risk management, model reporting, external review, responsibility allocation, and change control.

OECD.AI Wonk · guide

A five-step roadmap to closing the AI evaluation gap

The roadmap addresses evaluation results that overstate real-world performance or fail to transfer across deployment contexts. Its five steps balance standardized and local tests, evaluate throughout the lifecycle, build qualified assurance and communication capacity, tailor tests to each value-chain actor and technology, and use a coordinated, trusted process for updating methods.

Google Cloud Security Blog · tool

Now in preview: Find and fix software vulnerabilities with CodeMender

Google opened a preview of CodeMender, an AI code-security agent delivered through Gemini Enterprise Agent Platform and AI Threat Defense. It is designed to inspect code, identify and validate potentially exploitable defects, and produce targeted fixes, with Google’s specialized Gemini 3.5 Flash Cyber model initially restricted to governments and trusted partners.