Alternatives
Products that do what Codebook does
The Git for Prompts
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https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
2025 · github.com
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2014 · gitbook.io
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Hi HN, I've been working on an experimental tool that helps you use GPT to work on your codebase. I'd love to improve the tool if there's interest. New ideas welcome! I think this could also be useful for experimenting with other types of recursive prompts. It’s a little bit Swiss Army knife and a little bit skynet: https://github.com/ferrislucas/promptr From the README: Promptr is a CLI tool for operating on your codebase using GPT. Promptr dynamically includes one or more files into your GPT prompts, and it can optionally parse and apply the changes that GPT suggests to…
2023 · github.com
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Hey HN, would love some feedback on our Jupyter Notebook review tool! We help data science teams check one another's work and share knowledge that's stored in Jupyter Notebooks. Currently, we integrate with GitHub, allowing for review comment submissions, pull request approval, comments on markdown and code cells that sync with GitHub. Happy to answer any questions!
2024 · app.gitnotebooks.com
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Jun 2026 · github.com
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My friends and I were complaining about having to decipher incomprehensible code one day and decided to pass the code through GPT to see if it could write easily understandable comments to help us out. It turns out that GPT can but it was still a hassle to generate comments for large files. So we decided to develop a basic web application that automatically integrates with your Github repository, generate comments, create a pull request and send you an email when it is all done. There is definitely a lot more that can be done but we wanted to gain feedback on whether this is a problem that…
2023 · swiftstart.vercel.app
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Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question,…
2024 · github.com
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