{"podcast":{"title":"Programming Tech Brief By HackerNoon","slug":"programming-tech-brief-by-hackernoon-6364125","podcast_index_feed_id":6364125,"rss_url":"https://feeds.transistor.fm/programming-tech-brief-by-hackernoon","website_url":"https://hackernoon.com/c/programming","image_url":"https://img.transistorcdn.com/AKbQjnYbCNDgF_frZ_Hpi8tkLS7aZezqecpWn6o-Rh8/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMTY2LzE2ODM1/ODIzMzAtYXJ0d29y/ay5qcGc.jpg","author":"HackerNoon","episode_count":100,"summary":"Learn the latest programming updates in the tech world.","last_synced_at":"2026-07-29T06:19:42.842448+00:00","page_url":"https://stenobird.com/podcast/programming-tech-brief-by-hackernoon-6364125"},"episode":{"title":"Runbooks + RAG: How I Gave My AI SRE Agent the Context It Was Missing","slug":"runbooks-rag-how-i-gave-my-ai-sre-agent-the-context-it-was-missing","published_at":"2026-07-27T16:01:23+00:00","page_url":"https://stenobird.com/podcast/programming-tech-brief-by-hackernoon-6364125/runbooks-rag-how-i-gave-my-ai-sre-agent-the-context-it-was-missing","show_page_url":"https://stenobird.com/podcast/programming-tech-brief-by-hackernoon-6364125","url":"https://share.transistor.fm/s/303edeb6","audio_url":"https://media.transistor.fm/303edeb6/9562ee28.mp3","summary":"This story was originally published on HackerNoon at: https://hackernoon.com/runbooks-rag-how-i-gave-my-ai-sre-agent-the-context-it-was-missing . Learn how retrieval-augmented generation (RAG) helps AI SRE agents use runbooks, postmortems, and documentation to investigate real production incidents. Check more stories related to programming at: https://hackernoon.com/c/programming . You can also check exclusive content about #site-reliability-engineering , #devops-knowledge-retrieval , #ai-postmortem-retrieval , #vector-database-runbooks , #sre-agent-architecture , #ai-runbook-retrieval , #ai-sre-agent , #hackernoon-top-story , and more. This story was written by: @armeesala . Learn more about this writer by checking @armeesala's about page, and for more stories, please visit hackernoon.com . Large language models understand infrastructure, but they don't understand your infrastructure. This article explains how a retrieval-augmented generation (RAG) layer gives AI SRE agents access to runbooks, postmortems, architecture docs, and service ownership information at investigation time. It covers the two-plane knowledge model, vector retrieval, real-world failure modes, and practical lessons for keeping an AI knowledge base accurate, current, and trustworthy.","meta_description":"This story was originally published on HackerNoon at: https://hackernoon.com/runbooks-rag-how-i-gave-my-ai-sre-agent-the-context-it-was-missing . Learn ho…","key_points":[],"chapters":[],"topics":[],"duration_seconds":483,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/programming-tech-brief-by-hackernoon-6364125/episodes/runbooks-rag-how-i-gave-my-ai-sre-agent-the-context-it-was-missing/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/programming-tech-brief-by-hackernoon-6364125/runbooks-rag-how-i-gave-my-ai-sre-agent-the-context-it-was-missing.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}