🤖 AI Summary
dumpall is a tiny CLI utility (run via npx) that scans a project and emits every file as clean, language-tagged Markdown fenced code blocks — designed to make codebases "AI-ready" for prompts, context windows, code reviews, or archiving. It streams structured Markdown quickly (e.g., npx dumpall . -e node_modules), can copy output straight to your clipboard (--clip / -c), and supports easy exclusion of directories/files (--exclude / -e) as well as colorized terminal output (--color) and a no-spinner mode for automation (--no-progress).
For the AI/ML community this is a practical convenience: it standardizes how you package repository content for LLM consumption (few-shot examples, context for code assistants, dataset construction), saving manual formatting work and reducing prompt-prep friction. Key technical details: outputs fenced code blocks suitable for tokenized input, supports multiple --exclude flags, and is usable in CI/automation without spinner. Practical caveats include token limits and privacy — you should exclude large or sensitive folders (node_modules, .git, credentials) before dumping. Overall, dumpall is a small but useful tool for quickly converting entire projects into consistent, AI-friendly Markdown for downstream modeling, review, or archival workflows.
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