Every talk, workshop, keynote & case study from Anthropic's official Claude channel — with detailed summaries, speaker bios, key topics, and actionable takeaways for each video.
36
Total Videos
~18h
Total Runtime
5
Categories
35+
Speakers
May '26
Published
Each card includes speaker info, detailed summary, key topics, and actionable takeaways. Click to expand.
96%
Spotify engineers using AI-assisted coding
300%
PR throughput increase at Anthropic
600M+
Monthly sessions on Lovable
750+
Developers using Claude at Man Group
100+
PRs/day merged by agents at Delivery Hero
80x
Growth in Claude Code demand
6x
Completion rate increase with Dreaming (Harvey)
$80M
Wix acquisition of Base44
Start Simple, Add Complexity With Evidence
The consistent theme across keynotes and workshops: single-agent + good prompting beats over-engineered multi-agent systems until evidence shows otherwise. Omni's "blabbotomy" (merging split agents back into one) proves this.
Memory + Dreaming = Self-Improving Agents
Persistent memory + dreaming (batch consolidation) turns throwaway sessions into evolving systems. Harvey saw 6x completion rate improvement. Warp's Buzz agent updates its own skill files via daily PR.
Evals Are the Primary Development Methodology
Rubric-driven, replayable eval systems give quality/cost/latency signals per change. Private eval sets of 20-50 tasks outperform public benchmarks. Cost-per-success beats raw token cost as the key metric.
Enterprise Adoption Is Real & Measurable
Spotify (96% AI adoption, 60% PR increase), Man Group (AI trading signals in production), Delivery Hero (100+ PRs/day merged by agents), Base44 ($80M acquisition with Claude Code as primary enabler).
Verification > Autonomy
Stop hooks, Turing-incomplete DSLs, and governed skill frameworks prove that constraints accelerate agents. Trust comes from architectural design, not just model alignment. Spotify: "firmer guardrails are accelerators."
Context & Caching Are the Hidden Multipliers
Aim for 80-90% cache hit rates. JSON-to-Markdown conversion saves 66% tokens. Prompt caching can cut costs 80%+. The advisor strategy (cheap model for routine, expensive for hard) optimizes cost vs. intelligence.