pytest.nvim is a Neovim plugin designed to seamlessly integrate the pytest testing framework into the Neovim editor. It provides a streamlined workflow for running tests, displaying results directly within the editor, and navigating between test files and their corresponding implementations. Features include running tests at various granularities (file, directory, nearest test, etc.), a visual test summary display with detailed information about passed and failed tests, and the ability to jump to test failures or specific test functions. It leverages Neovim's virtual text capabilities for displaying test statuses inline, enhancing the feedback loop during test-driven development. The plugin aims to improve the overall testing experience within Neovim by providing a tightly integrated and interactive environment.
Lilly is a TUI text editor built with Rust that aims to offer a modern, performant, and customizable alternative to Vim and Neovim. It prioritizes extensibility through plugins written in Lua, offering a familiar experience for Neovim users. Featuring built-in Language Server Protocol (LSP) support, tree-sitter for syntax highlighting, and asynchronous execution for responsiveness, Lilly seeks to combine the speed and efficiency of a terminal interface with the advanced features of modern GUI editors. The project is actively under development and welcomes contributions.
Hacker News users discuss Lilly, a TUI editor and potential Vim/Neovim alternative, focusing on its Lua extensibility and clean slate design. Some express excitement about a modern, scriptable TUI editor, praising its apparent performance and the potential of Lua for customization. Others question its long-term viability given the established competition, and some debate the merits of modal vs. non-modal editing. Several commenters highlight the difficulty of attracting users away from entrenched editors, while others suggest Lilly could find a niche among those seeking a simpler, more easily customized TUI experience. A few express interest in specific features like the integrated file explorer and fuzzy finder. Overall, the comments show cautious optimism tempered by an awareness of the challenges faced by new text editors.
Augment.vim is a Vim/Neovim plugin that integrates AI-powered chat and code completion directly into the editor. It leverages large language models (LLMs) to provide features like asking questions about code, generating code from natural language descriptions, refactoring, explaining code, and offering context-aware code completion suggestions. The plugin supports multiple LLMs, including OpenAI, Cohere, and local models, allowing users flexibility in choosing their preferred provider. It aims to streamline the coding workflow by making AI assistance readily accessible within the familiar Vim environment.
Hacker News users discussed Augment.vim's potential usefulness and drawbacks. Some praised its integration with Vim, simplifying access to AI assistance. Others expressed concerns about privacy and the closed-source nature of the plugin, particularly given its reliance on potentially sensitive code. There was also debate about the actual utility, with some arguing that existing language servers and completion tools already provided sufficient functionality. Several commenters suggested open-sourcing the plugin or using an open-source LLM to alleviate privacy concerns and foster community contribution. The reliance on a proprietary API key for OpenAI's models was also a point of contention. Finally, some users mentioned alternative AI-powered coding tools and workflows they found more effective.
Daily-notes.nvim is a Neovim plugin designed for effortless time-based journaling and planning. It enables users to quickly create and access daily, weekly, monthly, or quarterly notes based on the current date, using fuzzy finding for easy navigation. The plugin supports custom date formats, integrates with the Telescope fuzzy finder, and offers features like opening notes for specific dates or creating notes if they don't exist. It aims to provide a streamlined and efficient workflow for maintaining a structured journal or planner within Neovim.
Hacker News users generally praised the daily-notes.nvim plugin for its simplicity and speed compared to alternatives like Obsidian. Several commenters appreciated its integration with Telescope.nvim for fuzzy finding. Some suggested improvements, including the ability to specify a custom date format and integration with the calendar.vim plugin. One commenter pointed out the potential benefit of using a simpler file naming convention for improved compatibility with other tools. Another user mentioned using a similar setup with plain Vim and expressed interest in trying the plugin. There was some discussion on the benefits of plain text notes versus a database-driven system, with proponents of plain text highlighting its flexibility and longevity.
After over a decade using Vim/Neovim, the author experimented with Zed, a new electron-based editor. While appreciating Zed's native performance, smooth scrolling, and collaborative features, the author found the Vim mode lacking compared to their highly customized Neovim setup. Specifically, plugins and keybindings didn't translate seamlessly, hindering their workflow. Although impressed by Zed's potential, particularly its speed and built-in collaboration, the author ultimately returned to Neovim, finding its flexibility and familiarity more valuable than Zed's current advantages. They remain optimistic about Zed's future and plan to revisit it as it matures.
HN commenters generally expressed interest in Zed, particularly its performance and native UI. Some compared it favorably to VS Code, highlighting Zed's speed and responsiveness. Several users questioned the viability of Zed's closed-source model and subscription pricing, especially given the strong presence of free and open-source alternatives. A few commenters noted the post author's seeming bias toward Zed, given their employment history. Others discussed specific features, such as collaborative editing, and the desire for Vim keybindings. The potential for vendor lock-in was also raised as a concern.
Llama.vim is a Vim plugin that integrates large language models (LLMs) for text completion directly within the editor. It leverages locally running GGML-compatible models, offering privacy and speed advantages over cloud-based alternatives. The plugin supports various functionalities, including code generation, translation, summarization, and general text completion, all accessible through simple Vim commands. Users can configure different models and parameters to tailor the LLM's behavior to their needs. By running models locally, Llama.vim aims to provide a seamless and efficient AI-assisted writing experience without relying on external APIs or internet connectivity.
Hacker News users generally expressed enthusiasm for Llama.vim, praising its speed and offline functionality. Several commenters appreciated the focus on simplicity and the avoidance of complex dependencies like Python, highlighting the benefits of a pure Vimscript implementation. Some users suggested potential improvements like asynchronous updates and better integration with specific LLM APIs. A few questioned the practicality for larger models due to resource constraints, but others countered that it's useful for smaller, local models. The discussion also touched upon the broader implications of local LLMs becoming more accessible and the potential for innovative Vim integrations.
Magenta.nvim is a Neovim plugin designed to enhance coding workflows by leveraging large language models (LLMs) as tools. It emphasizes structured requests and responses, allowing users to define custom tools and workflows for various tasks like generating documentation, refactoring code, and finding bugs. Instead of simply autocompleting code, Magenta focuses on invoking external tools based on user prompts within Neovim, providing more controlled and predictable AI assistance. It supports various LLMs and features asynchronous execution for minimizing disruptions. The plugin prioritizes flexibility and customizability, allowing developers to tailor their AI-powered tools to their specific needs and projects.
Hacker News users generally expressed interest in Magenta.nvim, praising its focus on tool integration and the novel approach of using external tools rather than relying solely on large language models (LLMs). Some commenters compared it favorably to other AI coding assistants, highlighting its potential for more reliable and predictable behavior. Several expressed excitement about the possibilities of tool-based code generation and hoped to see support for additional tools beyond the initial offerings. A few users questioned the reliance on external dependencies and raised concerns about potential complexity and performance overhead. Others pointed out the project's early stage and suggested potential improvements, such as asynchronous execution and better error handling. Overall, the sentiment was positive, with many eager to try the plugin and see its further development.
Summary of Comments ( 5 )
https://news.ycombinator.com/item?id=43591246
Hacker News users discussed the pytest.nvim plugin, generally praising its speed and tight Neovim integration. Several commenters appreciated features like the virtual text display of test status and the ability to run tests directly within Neovim. Some users compared it favorably to running tests in a terminal, citing improved workflow and less context switching. A few people mentioned using and enjoying similar plugins for other languages, highlighting a broader trend of IDE-like test integration within Neovim. One commenter pointed out a potential drawback: the plugin's reliance on a specific test runner could be limiting for projects using alternative tools. Another user mentioned potential conflicts with other plugins. Despite these minor concerns, the overall sentiment was positive, with many expressing interest in trying the plugin.
The Hacker News post "Pytest for Neovim" (linking to the pytest.nvim GitHub repository) has generated several comments discussing the plugin and related testing practices in Neovim.
Several commenters express enthusiasm for the plugin and its features. One user highlights the seamless integration and smooth workflow it provides, appreciating the ability to run tests directly within Neovim without needing to switch to a terminal. They specifically call out the virtual text feature for displaying test statuses inline, finding it a significant improvement over traditional methods.
Another commenter praises the plugin's performance, noting its speed and efficiency compared to alternative testing setups. They also appreciate the clear and concise output provided by the plugin, which makes it easy to identify and diagnose test failures.
The discussion also delves into broader testing practices. One commenter discusses the importance of effective test organization and how pytest.nvim facilitates this by providing tools for running specific tests or groups of tests. They also mention the benefits of using a dedicated testing framework like pytest, emphasizing its ability to streamline the testing process and improve code quality.
Some users share their personal experiences with the plugin, highlighting its usefulness in their daily workflow. One commenter describes how pytest.nvim has simplified their testing process and made it easier to maintain a high level of test coverage.
There's a brief exchange about the pros and cons of using Neovim's built-in terminal versus a dedicated terminal emulator for running tests. One user suggests that the built-in terminal offers better integration with Neovim's features, while another points out that a dedicated terminal might provide more flexibility and customization options.
A few comments focus on specific features of the plugin, such as the ability to run tests in parallel and the integration with other Neovim plugins. One user expresses interest in seeing support for additional test frameworks beyond pytest.
Overall, the comments reflect a positive reception for pytest.nvim, with users appreciating its features, performance, and seamless integration with Neovim. The discussion also highlights the broader importance of effective testing practices and the role of tools like pytest.nvim in facilitating those practices.