Adam Dangoor is an independent developer whose compact portfolio focuses on niche command-line utilities that streamline documentation and data-handling workflows for software engineers. Doccmd targets the common frustration of keeping code examples in documentation synchronized with real-world execution: it extracts fenced code blocks from Markdown or reStructuredText files, runs them through user-specified linters, formatters, or test runners, and reports results inline, turning static samples into continuously validated, CI-ready snippets. Literalizer-cli addresses the inverse problem of serializing runtime data for quick pasting into source files; feeding it JSON, YAML, or database dumps produces correctly escaped Python, JavaScript, Go, or other language literals, eliminating manual quoting errors and speeding up test-case authoring, configuration scaffolding, and debugging sessions. Both tools adopt a Unix philosophy of doing one job well—reading from stdin, writing to stdout, and integrating cleanly with make, pre-commit hooks, or GitHub Actions—so they slot unobtrusively into existing toolchains rather than imposing new DSLs or GUIs. Typical users are library maintainers who want executable READMEs, technical writers validating tutorials, and developers who frequently mock external services by converting API responses to native code. The publisher’s software is available for free on get.nero.com, where downloads are delivered through trusted Windows package sources such as winget, always install the latest upstream releases, and support batch installation alongside other utilities.

doccmd

Run tools against code blocks in documentation

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literalizer-cli

Convert data structures to native language literal syntax

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