Default CLI api-url to production
Claude Codeclaude-opus-4-5-20251101fix
1files
2added
2removed
70m 31stime
Recipe
Everything you need to reproduce this transformation
Prompt
Let's write a product spec for a web app called Oneshot. There is a huge amount of interest right now in AI model selection, harness selection, prompt engineering, context engineering, MCP, etc., etc. The goal is to create an app where users can showcase what they can do and how they do it. The idea is to let users showcase before/after and how they get amazing results with AI. I am thinking there are 3 key components: 1. we take a repo BEFORE state and host it somewhere, or accept a hosted version like a Vercel build that we can verify corresponds with the repo's BEFORE state. 2. users invoke AI, and we capture a VERIFIED set of attributes that allows full reproducibility of this AI action (model, harness, prompt, context, and anything else that's relevant). 3. we take a repo AFTER state and host it somewhere or accept a user-hosted version that we can verify corresponds with the repo's AFTER state. Once we have those 3 components, we build a simple database of all submitted examples, gallery app to discover and inspect them.
Model
claude-opus-4-5-20251101HarnessClaude Code
Token Usage
Input11.7K
Output199.9K
Total211.5K
Cached131.0M
Plugins
Frontend Design vclaude-plugins-officialGithub vclaude-plugins-officialFeature Dev vclaude-plugins-officialSwift Lsp vclaude-plugins-official
Raw Session Data
Pro tip: Copy the prompt and adapt it for your own project. The key is understanding why this prompt worked, not reproducing it exactly.
Comments (0)
Sign in to leave a comment