About this episode
Claire Vo reviews the newly released Claude Opus 4.8, discussing its strengths and weaknesses in various tasks.
I got a few hours of early-access testing with Anthropic’s newly released model Opus 4.8. I walk through real coding, design, and strategy tasks across Claude Code and Claude Cowork, and give you my unfiltered view on what impressed me and what didn’t. — What you’ll learn: Where Opus 4.8 excels: greenfield prototypes, one-shot features, and fast execution Where it struggles: the last 10%, edge cases in existing codebases, and hallucinations How Opus 4.8 compares to Opus 4.7 on business strategy work Why I’m still reaching for Opus 4.7 on data-heavy strategy and roadmap work The new features shipping alongside the model: dynamic workflows with parallel subagents and effort control in Claude.ai and Cowork The prompting and harness strategy I’d use to get the most out of it — In this episode, we cover: (00:00) Introduction to Opus 4.8 (00:44) Benchmark performance and pricing (01:53) First coding test: Building a prototyping tool (03:00) Where it failed: The last 10% problem (03:27) The hallucination problem (04:23) Testing Opus 4.8 on existing codebases (05:24) The ambition test: Building games for a 9-year-old (07:03) Business strategy test: 4.7 vs 4.8 (08:23) The roadmap test…
People in this episode
Host: Claire Vo
Topics covered
- AI model testing
- coding tasks
- design tasks
- business strategy
- model comparison
- features of Opus 4.8
Keywords
- Claude Opus 4.8
- AI model
- coding
- design
- business strategy
- Opus 4.7
- hallucinations
- dynamic workflows
Mentioned in this episode
Organizations: Anthropic
Products: Claude Opus 4.8, Claude Code, Claude Cowork, Opus 4.7
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