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. 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.
Media Evidence
No related AI Engineer channel video found yet.
Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.
Media Signals
No linked video, transcript, or slide source has been attached yet.
Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.
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
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.
Speaker And Company Context
- Jess Wang — role not listed at company not listed.
Topics Covered
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.