{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"The Next Bottleneck in AI-Assisted Engineering Isn’t Code","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/3013f2c0\"></iframe>","width":"100%","height":180,"duration":928,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/the-next-bottleneck-in-ai-assisted-engineering-isnt-code.\n             AI coding agents need more than local shells. Shared pools, reservations, and project definitions make enterprise-scale orchestration possible. \n            Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #ai, #software-development, #software-engineering, #project-management, #vibe-coding, #kubernetes-agents, #agent-scheduling, #sdlc-automation,  and more.\n            \n            \n            This story was written by: @bzimbelman. Learn more about this writer by checking @bzimbelman's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                In this discussion I layout the case for managed pools and reservations as a way to manage these new resources and be able to measure the impacts of AI tools on the SDLC and throughput of teams.\n        \n        ","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}