SWE-rebench: Lessons from Evaluating Coding Agents — Ibragim Badertdinov, Nebius
What It Is
An official AI Engineer YouTube channel video with a cached transcript. It is retained as supporting context only because it has not been verified as an actual AI Engineer World's Fair San Francisco 2026 event recording.
Source Classification
- Source role: supporting official-channel video context, not first-class event evidence.
- Channel/source: official AI Engineer YouTube channel AI Engineer cut video.
- Use: background, speaker, company, or historical AIE context only; do not use for World's Fair San Francisco 2026 session claims unless manually verified against the official event.
Transcript Status
Cached transcript text is available at raw/sources/youtube-transcripts/wcUJWP6WpGM.txt (2,642 words).
Topic Signals
- Coding Agents, Agent Evaluations, MCP, Agent Memory
- Transcript keywords:
simple,night,fine,sequence,used,share,came,domains