Mezmo

Built for SREs who've seen the demo. Tired of the gap between that and prod. Bring your laptop. Leave with a runbook. Join us at PlatformCon in NYC! #ruleprod #opensource 🔗https://lnkd.in/g9aQcurY

Meet Henry Andrews, one of the builders behind AURA. He's helping shape an open-source agentic harness for production ops based on a simple principle: production software needs accountability. Agents should, too. His take? "The agent said so" is not an incident review. 🤖 Read more: https://lnkd.in/gJFZ3KV2

Your SRE agent should not have the memory of a goldfish 🤖 Our second Builder in the Loop feature spotlights Eric Lake on runbooks, investigation memory, and why starting from zero every incident is a terrible strategy. Read more. Your 2 AM self will thank you. 🔗 https://lnkd.in/e-Zfn-xq #SRE #PlatformEngineering

AI agents don’t invent bad decisions out of nowhere. They inherit them. 🔸 Messy telemetry. 🔸 Missing ownership. 🔸 Stale runbooks. 🔸 Broken context. Then they package it up with confidence. If your agents touch prod, this one’s for you. 🔗https://lnkd.in/gb8tdwPq #SRE #AgenticAI

Your SRE agent does not need its 147th tool. It needs boundaries. Real incident response is not one job. It is investigation, context retrieval, decision-making, documentation, and execution. Stuffing all of that into one agent is how things get weird. Why agentic SRE needs orchestration, not just more tools. 🔗 https://lnkd.in/g8ZPfR6n #AURA #opensource #SRE

The latest Gartner Analyst Take makes it clear: context engineering and decision intelligence are becoming foundational to the success of agentic AI. For SRE and platform teams, this lands especially hard. An AI agent making recommendations during production incidents is only as reliable as the telemetry, metadata, and operational context it can reason over. No amount of model tuning fixes fragmented knowledge of systems. Our perspective on what the Gartner findings mean for production AI teams: 🔗 https://lnkd.in/gb8tdwPq #AgenticAI #SRE

Production AI checklist: ✖ Dump every log into the context window ✖ Hope for the best ✖ Call it innovation Actual production AI runs on context engineering, memory, governance, and earned autonomy. More than vibes. 🔗 https://lnkd.in/gXV5uRgT

Introducing Builder in the Loop: the series on the humans behind AURA, our open-source agentic harness for production ops that actually behaves like production software. First up: Henry Andrews. His take? "The agent said so" is not an incident review. Mr. Roboto approves. Read it. https://lnkd.in/gJFZ3KV2 #aurastories #ruleprod

Missed the webinar? We got you. Getting an AI agent running is easy. Keeping it reliable in production is the hard part. Watch ⛵️ Andre E. break down how teams are moving from AI experiments to trusted, production-ready workflows with AURA. Open source. Better context. Less chaos. 🎥 https://lnkd.in/ggU97ayX #opensource #AIsre

Exciting to see AURA recognized as critical infrastructure for the AI era. As featured in The AI Journal, AURA is helping teams bring structure, transparency, and trust to AI in production. Because better context = better decisions. https://lnkd.in/dHaHiM7F #AI #opensource #SRE