{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"I Used AI Agents to Write Most of a Live-Trading Codebase: Introducing The Gate That Made It Safe","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/cff47737\"></iframe>","width":"100%","height":180,"duration":1114,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/i-used-ai-agents-to-write-most-of-a-live-trading-codebase-introducing-the-gate-that-made-it-safe.\n1,600 AI-agent pull requests on a system that trades real money. Tests became the gate. Here are three times a green build lied, and what I changed.\nCheck more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #ai-agents, #software-testing, #ai-coding, #claude, #cursor, #ci-cd, #algorithmic-trading, #live-trading-codebase,  and more.\nThis story was written by: @redgeoff. Learn more about this writer by checking @redgeoff's about page,\n            and for more stories, please visit hackernoon.com.\nThe author, a solo developer, built a trading system called TopSet using AI agents, which generated most of the code. To ensure the system's reliability, the author implemented a rigorous testing process, including end-to-end tests that simulate real-world scenarios, and a \"gate\" that prevents changes from merging if they fail any of the tests.","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}