UnicornConsole
tabnine-vscode
UnicornConsole | tabnine-vscode | |
---|---|---|
1 | 1 | |
904 | 1,390 | |
0.0% | 0.6% | |
2.0 | 4.5 | |
almost 2 years ago | 4 days ago | |
Lua | TypeScript | |
MIT License | MIT License |
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UnicornConsole
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Runty8: A Pico8 clone in Rust (Looking for contributors!)
so a more faithful pico8 in rust compared to https://github.com/Gigoteur/UnicornConsole
tabnine-vscode
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Understanding AI for coders: Tabnine (your alternative to GitHub Copilot)
Both are related to limitations of vscode completion engine, so Tabnine can't really blamed for them in any way.
1. Initially Tabnine's auto-completion was triggered on any character, which best leveraged Tabnine's power but also had inherent problem: when Tabnine was triggered on non-letter character it sometimes prevented Vscode from showing suggestions from other completion sources (LSPs, snippets). There is a discussion in https://github.com/codota/tabnine-vscode/issues/6 with me explaining that the only viable solution is to reduce set of trigger characters to letters only. In the end a fix was pushed that reduced the set of trigger characters, which made the problem less likely but still not solved. The are numerous duplicates of this issue on Github.
2. Another problem is when Vscode has auto-completion suggestions from Tabnine and other sources (LSP, snippets), it frequently puts Tabnine's at the top of list. This is a big no-go for me because most of the time just want to complete the identifier (class field, method etc.). Modifying just the extension code didn't help so in the end I had add a small patch to Vscode itself, which gives lowest score to Tabnine's candidates: https://github.com/sergei-dyshel/vscode/commit/ee73034b9ec6c....
I must admit that both problems can be practically solved by new "inline auto-completion" mechanism in vscode which looks very promising for AI-based completion in general. I'm looking forward to evaluate it.
What are some alternatives?
wtpsplit - Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
arl - lists of most popular repositories for most favoured programming languages (according to StackOverflow)
script-bench-rs - Rust embedded scripting languages benchmark
vscode-plugin - Kite Autocomplete Plugin for Visual Studio Code
lua-json5 - A json5 parser for luajit
renaming - Guidance for changing the default branch name for GitHub repositories
distant - 🚧 (Alpha stage software) Library and tooling that supports remote filesystem and process operations. 🚧
useful-java-links - A list of useful Java frameworks, libraries, software and hello worlds examples
runty8 - A Pico8 clone in Rust.
cpk - Light and fast package manager on C/C++ for C/C++/Python/Rust/Js packages
tangram - Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
XENA - XENA is Corss-Platform Software for Cyber-Security Automation, Adversary Simulations, and Red Team Operations. XENA strives to be fully integrated security penetration testing framework. It is equipped with a post-exploitation agent, C2 server, and a dark-themed elegant user interface.