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AI Engineer Code Summit announces speakers from Google DeepMind, Anthropic and others

According to a post on X by @aiDotEngineer, the AI Engineer Code Summit, set for Nov 10–12 in San Francisco, has published its speaker lineup. The summit is presented by Google DeepMind, and listed speakers come from Google DeepMind, Anthropic, Cognition, Databricks, Cloudflare, Lovable, E2B, Exa, Warp, Reflection AI, Netflix and Baseten. Named individuals include Kevin Hou on Antigravity, Steve Yegge, Kent C. Dodds and Simon Willison.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-03T14:40:00+00:00 Detected 2026-11-03T18:23:07+00:00
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According to a post on X by @aiDotEngineer, the AI Engineer Code Summit, set for Nov 10–12 in San Francisco, has published its speaker lineup. The summit is presented by Google DeepMind, and listed speakers come from Google DeepMind, Anthropic, Cognition, Databricks, Cloudflare, Lovable, E2B, Exa, Warp, Reflection AI, Netflix and Baseten. Named individuals include Kevin Hou on Antigravity, Steve Yegge, Kent C. Dodds and Simon Willison.

AI-assisted summary based on the listed source.

Presented by Google DeepMind, the summit lists speakers from Google DeepMind, Anthropic, Cognition, Databricks, Cloudflare, Lovable, E2B, Exa, Warp, Reflection AI, Netflix and Baseten, plus Kevin Hou on Antigravity, Steve Yegge, Kent C. Dodds and Simon Willison. Attendance is by application. Why it matters: It is...

The post describes the event as a dense gathering of people building coding agents, a claim VQV has not independently checked. For developers and companies working on AI coding tools, the lineup shows which vendors and builders will present in November. Readers interested in this area may want to watch for session details from the event.

Teams using AI at work may want to compare this against current productivity and review workflows.

Signal Strength 81% Technical label WATCH Public Interest 25 Category AI AT WORK Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 8 Novelty Interest Score 70 Consequence Score 22 Curiosity Score 16 Shareability Score 42

VQV surfaced this signal because it is recent, relevant to AI Coding Tools, connected to Scobleizer News Pulse (X).