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Agentic vs. Vector Search: An Eval-Driven Approach to Coding Agent Performance

Conference Context

Session Description

Evals let you replace gut feelings with quantifiable decisions. This talk breaks the basic concepts of evals, including the four core components: datasets, tasks, scoring, and experiments. Then, to solidify the concept, we’ll walk through a real eval comparing agentic search versus vector search for coding agents. We'll also cover practical challenges like tracing Claude Code subprocess calls and why a single eval run is never enough. You'll leave with a concrete framework for building evals that actually inform your ship decisions.

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Synthesized Breakdown

Agentic vs. Vector Search: An Eval-Driven Approach to Coding Agent Performance ## Conference Context - Date/time: 2026-06-29 · 11:40am-12:00pm - Track/room: track TBD · Expo Stage 2 NW - Speaker(s): Jess Wang - Session type/status: session · confirmed - Track: track TBD - Room: Expo Stage 2 NW - Session type: session - Status: confirmed ## Session Description Evals let you replace gut feelings with quantifiable decisions. This talk breaks the basic concepts of evals, including the four core components: datasets, tasks, scoring, and experiments. Then, to solidify the concept, we’ll walk through a real eval comparing agentic search versus vector search for coding agents.

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