{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"5 AI Coding Agent Guardrails That Actually Work","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/09f4974c\"></iframe>","width":"100%","height":180,"duration":523,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/5-ai-coding-agent-guardrails-that-actually-work.\nAn agent fixed the one bug it was shown and left five identical ones untouched. Five guardrails fixed it, and none of them was a smarter model.\nCheck more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #ai-agents, #coding-agents, #software-engineering, #developer-tool, #agentic-ai, #llms, #ai-assisted-coding, #engineering-practices,  and more.\nThis story was written by: @matbanik. Learn more about this writer by checking @matbanik's about page,\n            and for more stories, please visit hackernoon.com.\nA reviewer found one bug. My coding agent fixed exactly that route and left five identical ones untouched, then reported the work complete. It was not lying - it had fixed the thing it was shown, and never thought to ask how many other places the same mistake was hiding. The fix was not a smarter model. It was giving the agent somewhere to put things down: evidence before anything counts as done, an instruction file short enough to be read, and three other places to externalise state. This is what each one cost and which one to start with.","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}