code2prompt: Convert any folder into a single LLM prompt
Code2Prompt is a tool designed to convert codebases into structured prompts for Large Language Models. It offers features like smart filtering, flexible templating, and token tracking to streamline the context preparation process. The tool can be installed via Cargo or Homebrew and supports various file formats for efficient integration with AI applications.
- ▪Code2Prompt transforms entire codebases into well-structured prompts for LLMs.
- ▪It includes features such as a Terminal User Interface, smart filtering, and automatic code processing.
- ▪The tool can be installed using Cargo, Homebrew, or by downloading binary releases.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/mufeedvh/code2prompt |
| Publication time | Thu, 28 May 2026 22:52:35 +0000 |
| Retrieval time | 2026-05-28T22:59:38.379Z |
| Last seen | 2026-05-28T22:59:38.379Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | sxZTZq7KrULg |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Convert your codebase into a single LLM prompt. Website • Documentation • Discord Code2Prompt is a powerful context engineering tool designed to ingest codebases and format them for Large Language Models. Whether you are manually copying context for ChatGPT, building AI agents via Python, or running a MCP server, Code2Prompt streamlines the context preparation process. ⚡ Quick Install Cargo cargo install code2prompt To enable optional Wayland support (e.g., for clipboard integration on Wayland-based systems), use the wayland feature flag: cargo install --features wayland code2prompt Homebrew brew install code2prompt SDK with pip 🐍 pip install code2prompt-rs 🚀 Quick Start Once installed, generating a prompt from your codebase is as simple as pointing the tool to your directory.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.