log-booster
tabnine-vscode
log-booster | tabnine-vscode | |
---|---|---|
3 | 1 | |
3 | 1,340 | |
- | 1.0% | |
1.7 | 9.4 | |
12 months ago | 14 days ago | |
TypeScript | TypeScript | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
log-booster
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This Week in Python
log-booster – A VS code extension to quickly add frequently used log statements
- log-booster: An VS code extension to quickly add frequently used log statements
- Show HN: A VS Code extension to quickly add debug statements in Python code
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?
jnumpy - Writing Python C extensions in Julia within 5 minutes.
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turbo-console-log
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