6 Pillars of an Agentic Harness That Fixes Production Incidents
Conference Context
- Date/time: 2026-06-29 · 2:50pm-3:10pm
- Track/room: track TBD · Expo Stage 1 NE
- Speaker(s): Varun Krovvidi
- Session type/status: session · confirmed
- Track: track TBD
- Room: Expo Stage 1 NE
- Session type: session
- Status: confirmed
Session Description
A model delights us when any plausible answer works, but a production incident has one right answer, and the model alone can't reliably reach it. Getting there depends less on the model and more on the orchestration, context, and judgment built around it. That work is harness engineering, and it is the new frontier. This session breaks down the six pillars of an agentic harness required to fix production incidents: model orchestration, context, reasoning, actions, learning, and evals. Join Resolve AI to walk through what each one does, why a better model doesn't make any of them go away, and how they compose to find the root cause of a live incident across massive context, under a clock, with real revenue on the line.
Media Evidence
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Evidence Graph
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Transcript Status
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People
Notes
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Synthesis
Synthesized Breakdown
6 Pillars of an Agentic Harness That Fixes Production Incidents ## Conference Context - Date/time: 2026-06-29 · 2:50pm-3:10pm - Track/room: track TBD · Expo Stage 1 NE - Speaker(s): Varun Krovvidi - Session type/status: session · confirmed - Track: track TBD - Room: Expo Stage 1 NE - Session type: session - Status: confirmed ## Session Description A model delights us when any plausible answer works, but a production incident has one right answer, and the model alone can't reliably reach it. Getting there depends less on the model and more on the orchestration, context, and judgment built around it. That work is harness engineering, and it is the new frontier. This session breaks down the six pillars of an agentic harness required to fix production incidents: model orchestration, context, reasoning, actions, learning, and evals.
Speaker And Company Context
- Varun Krovvidi — role not listed at company not listed.
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
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