--- title: "caveman vs code2prompt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/juliusbrussee-caveman-vs-mufeedvh-code2prompt" tools: ["juliusbrussee-caveman", "mufeedvh-code2prompt"] --- # caveman vs code2prompt *GraphCanon updated Jul 11, 2026* ## Verdict Pick caveman when caveman is primarily JavaScript; code2prompt is Rust; pick code2prompt when code2prompt is primarily Rust; caveman is JavaScript. [caveman](https://caveman.so/) reports 88k GitHub stars, 5.1k forks, and 392 open issues, last pushed Jul 3, 2026. [code2prompt](https://code2prompt.dev) has 7.5k stars, 426 forks, and 18 open issues, last pushed Jun 29, 2026. Figures are from public GitHub metadata via [caveman's repository](https://github.com/JuliusBrussee/caveman) and [code2prompt's repository](https://github.com/mufeedvh/code2prompt). | | [caveman](/tools/juliusbrussee-caveman.md) | [code2prompt](/tools/mufeedvh-code2prompt.md) | | --- | --- | --- | | Tagline | Reduce token usage with concise 'caveman'-style prompts. | A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting. | | Stars | 87,950 | 7,467 | | Forks | 5,052 | 426 | | Open issues | 392 | 18 | | Language | JavaScript | Rust | | Adopt for | The **caveman** tool is designed for developers and AI users who aim to optimize their token usage through the generation of more concise prompts, thereby potentially reducing costs and improving efficiency. However, it犺 | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [caveman](/tools/juliusbrussee-caveman.md) | [code2prompt](/tools/mufeedvh-code2prompt.md) | | --- | --- | --- | | Days since push | 7d | 11d | | Open issues (now) | 392 | 18 | | Full report | [trust report](/tools/juliusbrussee-caveman/trust.md) | [trust report](/tools/mufeedvh-code2prompt/trust.md) | ## Decision facts: caveman - **Adopt for:** The **caveman** tool is designed for developers and AI users who aim to optimize their token usage through the generation of more concise prompts, thereby potentially reducing costs and improving efficiency. However, it犺 ## Choose when ### Choose caveman if… - caveman is primarily JavaScript; code2prompt is Rust. - Tags unique to caveman: anthropic, caveman, claude-code, prompt-engineering. - When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content. ### Choose code2prompt if… - code2prompt is primarily Rust; caveman is JavaScript. - Tags unique to code2prompt: chatgpt, claude, cli, command-line. - Leaner open-issue backlog (18). ## When NOT to use caveman - When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences. - For situations where adherence to formal or specific linguistic structures is mandatory for the task's success. ## When NOT to use code2prompt - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between caveman and code2prompt? caveman: Reduce token usage with concise 'caveman'-style prompts.. code2prompt: A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.. See the comparison table for live GitHub stats and shared categories. ### When should I choose caveman over code2prompt? Choose caveman over code2prompt when caveman is primarily JavaScript; code2prompt is Rust; Tags unique to caveman: anthropic, caveman, claude-code, prompt-engineering; When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content. ### When should I choose code2prompt over caveman? Choose code2prompt over caveman when code2prompt is primarily Rust; caveman is JavaScript; Tags unique to code2prompt: chatgpt, claude, cli, command-line; Leaner open-issue backlog (18). ### When should I avoid caveman? When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences. For situations where adherence to formal or specific linguistic structures is mandatory for the task's success. ### When should I avoid code2prompt? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is caveman or code2prompt more popular on GitHub? caveman has more GitHub stars (87,950 vs 7,467). Stars measure visibility, not whether either tool fits your constraints. ### Are caveman and code2prompt open source? Yes - both are open-source projects on GitHub (caveman: MIT, code2prompt: MIT). ### Where can I find alternatives to caveman or code2prompt? GraphCanon lists graph-backed alternatives at [caveman alternatives](/tools/juliusbrussee-caveman/alternatives) and [code2prompt alternatives](/tools/mufeedvh-code2prompt/alternatives) ([caveman markdown twin](/tools/juliusbrussee-caveman/alternatives.md), [code2prompt markdown twin](/tools/mufeedvh-code2prompt/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/juliusbrussee-caveman-vs-mufeedvh-code2prompt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, caveman or code2prompt? caveman: Active. code2prompt: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for caveman and code2prompt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [caveman trust report](/tools/juliusbrussee-caveman/trust); [code2prompt trust report](/tools/mufeedvh-code2prompt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=juliusbrussee-caveman`](/api/graphcanon/graph?tool=juliusbrussee-caveman) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_