The article introduces "whatdidido," a command-line tool that integrates with work management systems like Jira and Linear to help users track their recent activities and generate AI-powered summaries. It runs locally on the user's machine, allowing for secure management of API credentials while providing features for syncing work items and generating reports. The tool is designed to assist with status reports and performance reviews, making it easier to remember and present one's accomplishments.

The article introduces NLGit, a cross-platform CLI tool that allows users to control Git operations using natural language instructions, leveraging AI. It features a user-friendly interface, safety measures for destructive actions, and supports various Git commands. Installation is straightforward through npm or yarn, with initial setup guiding users through model selection and configuration.

The article introduces the "create-llm" CLI tool, designed to quickly scaffold and train custom language models using PyTorch. It offers various templates for different project sizes and needs, along with a comprehensive toolkit that simplifies the entire training process from architecture to deployment. The tool aims to streamline the creation of language models, making it accessible and efficient for developers.

The article introduces 'nblm-rs', an unofficial API client for the NotebookLM Enterprise, built on a Rust core. It offers a command-line interface (CLI) and a Python SDK to simplify interactions with the API, addressing common challenges such as authentication complexity and error handling. The project aims to provide production-ready tools for seamless integration and scripting with the NotebookLM API.