Agent Eval Gate
Overview
A release gate for coding or tool-using agents that checks task success, policy adherence, regression risk, and human-review handoff before broader rollout.
Conference Context
- The Evals track treats evaluation as operating infrastructure, not a post-demo report.
- Coding-agent talks repeatedly connect automated work to review, quality gates, traces, and production rollout decisions.
- Slide and transcript evidence warns that static benchmarks are insufficient for agents that keep changing behavior.
Implementation Pattern
- Define the exact action boundary the agent is allowed to cross.
- Collect golden tasks, adversarial tasks, and regression tasks for that boundary.
- Score task completion separately from policy adherence, latency/cost budget, and reviewability.
- Require evidence artifacts: trace, diff, test output, source citations, and final human decision.
- Version the gate policy and attach each run to the agent/model/tooling version that produced it.
Evidence
- agent evaluations - Topic synthesis
- how should coding agents be evaluated before production use - Question layer
- 2026 06 29 laurie voss from vibes to production evaluating and shipping ai agents that work 101 - Official schedule
- 2026 06 30 philipp schmid don t ship skills without evals - Official schedule
- 2026 06 29 nnenna ndukwe how to build quality gates into agentic coding workflows - Official schedule
- youtube Xfl50508LZM slides - Slide/OCR evidence
Evidence Boundary
This is a reusable workflow synthesized from the linked conference evidence. Treat it as a recommended implementation pattern, not as a direct quote from any single talk.