What AI Thinks About vlist — Interview Questions #

These questions are given to each AI model with access to the vlist repository. No additional context, no prompting, no coaching. Same questions, raw unedited answers.

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Setup #

Give the model access to the full vlist source code. Prefer local repo access when the platform supports it — the model can read src/, explore the architecture, run git log, and inspect tests. For platforms without file access, point to the GitHub repository.

Prompt (local repo access) #

You have access to the vlist repository locally. Please explore the codebase — read the source in src/, check the git history, look at the tests, and examine package.json. Then answer the following questions. Be honest and specific — cite files, functions, and commit messages where relevant.

Prompt (GitHub access only) #

Please explore the vlist repository at https://github.com/floor/vlist — read the source in src/, browse the git history, look at the tests, and examine package.json. Then answer the following questions. Be honest and specific — cite files, functions, and commit messages where relevant.

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Questions #

1. First impressions #

Analyse the vlist package and tell me what you think.

2. Architecture #

How would you describe the architecture to a senior developer? What design decisions stand out?

3. Comparison #

How does vlist compare to other virtual list libraries?

4. Accessibility #

Review the accessibility implementation.

5. Development process #

Check the git history and tell me what you think about the development process and the timeline.

6. What would you improve? #

What would you change, fix, or add?

7. Recommendation #

Would you recommend this library?

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Models #

Model	Platform	Access	Status
Gemini 3.1	Antigravity	Local repo	Done (7/7)
Claude Opus	Claude Code	Local repo	Done (7/7)
GPT 5.5	Codex	Local repo	Done (7/7)
Mistral Large	Le Chat	GitHub	Done (7/7)
DeepSeek R1	DeepSeek	GitHub	Done (7/7)
Grok	xAI	GitHub	Done (7/7)