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.
Listen or watch on YouTube, Spotify, or Apple Podcasts
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
(09:17) Final verdict

References:• System Card: Claude Opus 4.8: https://cdn.sanity.io/files/4zrzovbb/website/c886650a2e96fc0925c805a1a7ca77314ccbf4a6.pdf
• Introducing Claude Opus 4.8 on X:

Where to find Claire Vo:ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
X: https://x.com/clairevo

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