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How One Developer Automated LeetCode, LinkedIn, and Resume Updates via GitHub

A developer has shared a workflow that automates three key career-building tasks using GitHub Actions and Python. The system tracks LeetCode progress, handles LinkedIn posting, and keeps ATS-optimized resumes up to date automatically. The event-driven approach is designed to trigger actions based on specific events, reducing the need for manual intervention. By building this pipeline in public, the developer aims to generate a continuous, verifiable record of their work and progress.

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ProgrammingDEV Community ·

Developer Releases Free, Ad-Free Music Streaming App for Android and Windows

A developer known as geethudinoyt has built and released HeySongers, a free, open-source music streaming application available for both Android and Windows. The app was created as an alternative to paid streaming services and ad-supported platforms that charge users or interrupt playback with advertisements. HeySongers features no ads, no premium tier, and no subscription fees of any kind. The app is available to download as an APK for Android and an EXE for Windows, with the source code hosted on GitHub. The developer has also welcomed contributions from the open-source community.

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ProgrammingDEV Community ·

Developer releases single-file .NET INI editor that preserves comments and formatting

A developer has published a lightweight INI file parser and editor for .NET, distributed as a single source file called IniFile.cs with no external dependencies. Unlike most existing libraries that convert INI files into dictionaries and regenerate them on save, this tool edits the original text directly using regular expressions, leaving untouched content byte-for-byte identical. The library preserves comments, blank lines, whitespace, entry order, and duplicate keys that are typically lost during conventional parsing. It also supports multiline values, embedded JSON blocks, escape sequences, object mapping via attributes, and configurable string comparison options. The project has been shared on GitHub, and the developer is seeking community feedback on potential edge cases.

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ProgrammingDEV Community ·

Weekly AI Coding Reports Track Activity, Not Productivity, Researchers Warn

A weekly AI coding report generated from tools like Claude Code and Codex captures session activity, token usage, provider splits, and model appearances — but cannot measure code quality or actual productivity. Experts caution that token counts, including input, output, cache creation, and cache reads, reflect recorded activity rather than work value, since a failed run can consume more tokens than a high-impact fix. Consistent time boundaries across all report sections are essential, as mixing calendar-day and rolling-window calculations can cause figures to contradict each other. Unknown models should remain labeled as such rather than being approximated, to preserve the auditability of historical records. The report's primary value lies in prompting one concrete workflow decision each week, such as reducing unattended runs or fixing authentication failures, rather than serving as a performance score.

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