{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"The Safe Way to Ship Production Code Written by AI Agents","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/662b3e3b\"></iframe>","width":"100%","height":180,"duration":943,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/the-safe-way-to-ship-production-code-written-by-ai-agents.\nHow to safely ship AI-generated production code with permissions, testing, security gates, and review.\nCheck more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #ai-generated-code, #ai-coding-agents, #claude-code, #metr-productivity-study, #swe-bench-verified, #ai-pull-requests, #ai-production-code, #cicd-guardrails,  and more.\nThis story was written by: @drechi. Learn more about this writer by checking @drechi's about page,\n            and for more stories, please visit hackernoon.com.\nAI coding agents have moved beyond autocomplete. They can now inspect repositories, modify files, execute commands, run tests, and open pull requests. That changes the engineering security model. This guide explains how to adopt agents safely using scoped permissions, automated testing, SAST, SCA, secret scanning, policy-as-code, human review, and measurable rollout criteria.","thumbnail_url":"https://img.transistorcdn.com/KyA01h2FD2insgk-wX_xzV6vbJnTNl2BvPYVL-XaI9A/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjcyLzE2ODM1/ODI0ODgtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}