GitHub Repo Offers Growth Hacking Strategies Tailored for AI Agents

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A new GitHub repository called 'awesome-growth-hacking-skills' has emerged, outlining growth hacking strategies designed specifically for AI agents like ChatGPT and Claude. The project aims to help developers bridge the gap between technical AI capabilities and real-world business objectives such as user engagement and sales growth. It has attracted notable interest, accumulating 817 stars on GitHub. Unusually, the repository is built using Shell scripting, a language more commonly associated with workflow automation than AI development, which some may find limiting. The project reflects a broader trend in the developer community toward combining marketing thinking with technical AI expertise.

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pack.nvim brings modern UI to Neovim 0.12's native package manager

A new Neovim plugin called pack.nvim has been released to provide a rich user interface on top of Neovim's built-in vim.pack API, introduced in version 0.12. The tool delegates core operations such as cloning, updating, and lockfile management to Neovim's native C backend, while adding an interactive floating-window dashboard with real-time status indicators and commit diff previews. pack.nvim supports modern lazy-loading techniques triggered by commands, events, filetypes, and keymaps, without building an isolated ecosystem separate from Neovim's standard plugin directory. All plugins managed through it reside under the standard vim.pack path, and any plugins already installed via vim.pack are automatically adopted without re-cloning. The plugin requires Neovim 0.12 or later and is configured through a straightforward setup block in the user's init.lua file.

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ProgrammingDEV Community ·

Developer Builds AI Tool That Displays Real-Time Water Cost Per Query

A developer has created JSTJO, an AI chatbot that visibly tracks and displays estimated water consumption with each response, aiming to make AI's environmental footprint tangible to users. The project was prompted by the UN's June 2026 AI Environmental Transparency Initiative, which formally requested standardized water and energy disclosures from AI companies, though compliance remains largely voluntary. Major tech firms have disclosed significant water usage figures — Google reported 10.9 billion gallons in 2025, a 34% year-on-year rise, while Amazon published its first-ever water footprint of 2.5 billion gallons in mid-2026. Researchers estimate each AI query consumes between 10 and 25 milliliters of water when indirect usage from power generation is included, far above the commonly cited 0.3 ml figure that counts only direct data-center cooling. The developer reports that simply seeing a counter deplete in real time changed their own usage habits, citing behavioral economics research showing that making hidden costs visible can meaningfully reduce consumption.

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ProgrammingHacker News ·

Illinois Law HB5511 May Require Linux and Other OS Makers to Verify User Ages

Illinois has passed House Bill 5511, a new law that could hold operating system developers, including those behind Linux, responsible for age verification of users. The legislation appears to extend age-verification obligations beyond app stores and websites to the operating system level itself. This would be an unusual and technically complex requirement, as Linux is largely developed by a distributed global community rather than a single corporate entity. Critics and observers are raising concerns about how such a law could practically be enforced against open-source projects. The bill marks one of the more far-reaching state-level attempts in the US to regulate minors' access to digital platforms.

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ProgrammingDEV Community ·

libvctrl 2.0.0 Released as Production-Ready Rust SDK for Custom Version Control

libvctrl 2.0.0 is a Rust-based software development kit designed to help developers build custom version control systems without assembling multiple dependencies manually. The SDK bundles three sub-crates covering contracts, reference implementations, and SHA-512 cryptography under a single unified namespace via the Facade Pattern. It enforces strict safety guarantees at the compiler level, including a ban on unsafe code, panics, and unwrap calls, making it suitable for production environments. The release provides ready-to-use backends such as an in-memory store, binary codec, and SHA-512 hasher adapter, alongside object builders and validators. Future components, including low-level and high-level CLI layers, are planned but not yet implemented.

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