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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