Always-on agents run production without the on-call tax
Conference Context
- Date/time: 2026-07-01 · 2:25pm-2:45pm
- Track/room: Agentic Engineering · Track 8
- Speaker(s): Justin Smith
- Session type/status: session · confirmed
- Track: Agentic Engineering
- Room: Track 8
- Session type: session
- Status: confirmed
Session Description
Most production teams have the same problem. The work that keeps systems healthy- deployment checks, on-call handoffs, anomaly reviews- never makes it into a sprint. It falls to whoever has bandwidth, gets done inconsistently, and disappears when people are stretched thin. Background agents fix this by running that work on a schedule, using the same production context a senior engineer would, without waiting for someone to initiate it. Justin Smith, Founding Engineer at Resolve AI, walks through the architecture behind always-on agents, the use cases teams are starting with today, and what we have learned from running them in our production environment.
Media Evidence
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Evidence Graph
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Media Signals
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Agent Reading Notes
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Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.
People
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Synthesis
Synthesized Breakdown
Always-on agents run production without the on-call tax ## Conference Context - Date/time: 2026-07-01 · 2:25pm-2:45pm - Track/room: Agentic Engineering · Track 8 - Speaker(s): Justin Smith - Session type/status: session · confirmed - Track: Agentic Engineering - Room: Track 8 - Session type: session - Status: confirmed ## Session Description Most production teams have the same problem. The work that keeps systems healthy- deployment checks, on-call handoffs, anomaly reviews- never makes it into a sprint. It falls to whoever has bandwidth, gets done inconsistently, and disappears when people are stretched thin. Background agents fix this by running that work on a schedule, using the same production context a senior engineer would, without waiting for someone to initiate it.
Speaker And Company Context
- Justin Smith — Founding Product Engineer at Resolve AI.
Topics Covered
- Topic links are pending transcript-backed classification.
Derived Links And Source Material
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.