#deepwiki — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #deepwiki, aggregated by home.social.
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#Deepwiki uses an #LLM to create wiki pages for #Github repositories. You can see an example here for the #Moodle Assignment AIF plugin which uses an external LLM #AI System to give feedback on assignment submissions. It will will factor in any #Rubric associated with the assignment. It now needs a nice logo.
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#Deepwiki uses an #LLM to create wiki pages for #Github repositories. You can see an example here for the #Moodle Assignment AIF plugin which uses an external LLM #AI System to give feedback on assignment submissions. It will will factor in any #Rubric associated with the assignment. It now needs a nice logo.
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#Deepwiki uses an #LLM to create wiki pages for #Github repositories. You can see an example here for the #Moodle Assignment AIF plugin which uses an external LLM #AI System to give feedback on assignment submissions. It will will factor in any #Rubric associated with the assignment. It now needs a nice logo.
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#Deepwiki uses an #LLM to create wiki pages for #Github repositories. You can see an example here for the #Moodle Assignment AIF plugin which uses an external LLM #AI System to give feedback on assignment submissions. It will will factor in any #Rubric associated with the assignment. It now needs a nice logo.
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#Deepwiki uses an #LLM to create wiki pages for #Github repositories. You can see an example here for the #Moodle Assignment AIF plugin which uses an external LLM #AI System to give feedback on assignment submissions. It will will factor in any #Rubric associated with the assignment. It now needs a nice logo.
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【deepwiki-open】いいパソコンはもってないけど、ローカルLLMで社内Wikiをつくりたい
https://qiita.com/melhts/items/6e5bc00f8426194d0978?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items -
【deepwiki-open】いいパソコンはもってないけど、ローカルLLMで社内Wikiをつくりたい
https://qiita.com/melhts/items/6e5bc00f8426194d0978?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items -
An AI slop site I encounter a lot when searching is DeepWiki. It scans code and builds "documentation" wiki pages of open source code projects.
It also has a page on @novelwriter. The overarching code structure part is fairly good, and mostly correct but with a few consistently wrong hangups. But the usage section, which is based on my detailed and extensive documentation, is wrong or misleading on a lot of pretty important and basic stuff.
Useless. Just read the docs.
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An AI slop site I encounter a lot when searching is DeepWiki. It scans code and builds "documentation" wiki pages of open source code projects.
It also has a page on @novelwriter. The overarching code structure part is fairly good, and mostly correct but with a few consistently wrong hangups. But the usage section, which is based on my detailed and extensive documentation, is wrong or misleading on a lot of pretty important and basic stuff.
Useless. Just read the docs.
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An AI slop site I encounter a lot when searching is DeepWiki. It scans code and builds "documentation" wiki pages of open source code projects.
It also has a page on @novelwriter. The overarching code structure part is fairly good, and mostly correct but with a few consistently wrong hangups. But the usage section, which is based on my detailed and extensive documentation, is wrong or misleading on a lot of pretty important and basic stuff.
Useless. Just read the docs.
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An AI slop site I encounter a lot when searching is DeepWiki. It scans code and builds "documentation" wiki pages of open source code projects.
It also has a page on @novelwriter. The overarching code structure part is fairly good, and mostly correct but with a few consistently wrong hangups. But the usage section, which is based on my detailed and extensive documentation, is wrong or misleading on a lot of pretty important and basic stuff.
Useless. Just read the docs.
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An AI slop site I encounter a lot when searching is DeepWiki. It scans code and builds "documentation" wiki pages of open source code projects.
It also has a page on @novelwriter. The overarching code structure part is fairly good, and mostly correct but with a few consistently wrong hangups. But the usage section, which is based on my detailed and extensive documentation, is wrong or misleading on a lot of pretty important and basic stuff.
Useless. Just read the docs.
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#deepwiki the website goes "captcha execution timed out". motherfucker i'm waiting on *you*!
If a human does this to you, enact violence upon their person.
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#deepwiki looks useful, let me try it out...
of course, captcha challenge. Can't have robots stealing your IP, you DeEeFiNitEly have the moral high ground to defend against that...
It just absolutely refuses to accept my answers. It's already decided i'm a robot, but it's still going "NOoOo just select the boxes, it's not any sort of intrusive tracking measure :))))".
and just to be extra irritating, it does the slow version. so you check the boxes, hit submit, and it goes 'NOO wait!"
meanwhile -
【コピペOK】GitHub Copilotを"DeepWiki化"するドキュメント指示書を作成してみた
https://qiita.com/a32-suzuki/items/c3540da3e009dab1bf97?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items -
According to Google Gemini #ai
“#DeepWiki is an #AI-powered tool designed to automatically generate comprehensive documentation for code repositories, primarily those hosted on #GitHub. It was created by the team behind the AI developer tool #Devin, with a core purpose of helping developers and engineers quickly understand complex or unfamiliar codebases.”
The Moodle repo for it looks very interesting
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According to Google Gemini #ai
“#DeepWiki is an #AI-powered tool designed to automatically generate comprehensive documentation for code repositories, primarily those hosted on #GitHub. It was created by the team behind the AI developer tool #Devin, with a core purpose of helping developers and engineers quickly understand complex or unfamiliar codebases.”
The Moodle repo for it looks very interesting
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According to Google Gemini #ai
“#DeepWiki is an #AI-powered tool designed to automatically generate comprehensive documentation for code repositories, primarily those hosted on #GitHub. It was created by the team behind the AI developer tool #Devin, with a core purpose of helping developers and engineers quickly understand complex or unfamiliar codebases.”
The Moodle repo for it looks very interesting
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According to Google Gemini #ai
“#DeepWiki is an #AI-powered tool designed to automatically generate comprehensive documentation for code repositories, primarily those hosted on #GitHub. It was created by the team behind the AI developer tool #Devin, with a core purpose of helping developers and engineers quickly understand complex or unfamiliar codebases.”
The Moodle repo for it looks very interesting
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According to Google Gemini #ai
“#DeepWiki is an #AI-powered tool designed to automatically generate comprehensive documentation for code repositories, primarily those hosted on #GitHub. It was created by the team behind the AI developer tool #Devin, with a core purpose of helping developers and engineers quickly understand complex or unfamiliar codebases.”
The Moodle repo for it looks very interesting
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DeepWiki: Understand Any Codebase
https://www.aitidbits.ai/p/deepwiki
#HackerNews #DeepWiki #Codebase #Understanding #Programming #AI #Tech
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DeepWiki: Understand Any Codebase
https://www.aitidbits.ai/p/deepwiki
#HackerNews #DeepWiki #Codebase #Understanding #Programming #AI #Tech
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DeepWiki: Understand Any Codebase
https://www.aitidbits.ai/p/deepwiki
#HackerNews #DeepWiki #Codebase #Understanding #Programming #AI #Tech
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DeepWiki: Understand Any Codebase
https://www.aitidbits.ai/p/deepwiki
#HackerNews #DeepWiki #Codebase #Understanding #Programming #AI #Tech
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DeepWiki: Understand Any Codebase
https://www.aitidbits.ai/p/deepwiki
#HackerNews #DeepWiki #Codebase #Understanding #Programming #AI #Tech
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@hackergarten @claudine @giftkugel learned about #DeepWiki deepwiki.com - already a successful night 😅
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@hackergarten @claudine @giftkugel learned about #DeepWiki deepwiki.com - already a successful night 😅
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@hackergarten @claudine @giftkugel learned about #DeepWiki deepwiki.com - already a successful night 😅
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@hackergarten @claudine @giftkugel learned about #DeepWiki deepwiki.com - already a successful night 😅
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@hackergarten @claudine @giftkugel learned about #DeepWiki deepwiki.com - already a successful night 😅
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I am very impressed with this repo-diving and construction of documentation done by "Devin" for DeepWiki.
"Qio" is a CLI that I built to use with a database structure I came up with to keep a knowledge base of things like CLI things and one-liners or SQL or URLs or team lists or whatever ("rainbow.toml" is the database, "q" is short for queue, and "qio" is the clever CLI tool name that nobody had taken yet).
This was written before I was into TDD so it's not the *greatest* golang in the universe but my choice at the time was to lean heavily on Viper as a framework to build a database out of its own default configuration using TOML. There's lots of room for improvement. ;)
So anyway, I'm pretty complete on docs in this repo, and it seemed like a good candidate so I put my repo into DeepWiki and got a pretty amazing result complete with an accurate illustration of my entirely invented data definition:
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I am very impressed with this repo-diving and construction of documentation done by "Devin" for DeepWiki.
"Qio" is a CLI that I built to use with a database structure I came up with to keep a knowledge base of things like CLI things and one-liners or SQL or URLs or team lists or whatever ("rainbow.toml" is the database, "q" is short for queue, and "qio" is the clever CLI tool name that nobody had taken yet).
This was written before I was into TDD so it's not the *greatest* golang in the universe but my choice at the time was to lean heavily on Viper as a framework to build a database out of its own default configuration using TOML. There's lots of room for improvement. ;)
So anyway, I'm pretty complete on docs in this repo, and it seemed like a good candidate so I put my repo into DeepWiki and got a pretty amazing result complete with an accurate illustration of my entirely invented data definition:
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I am very impressed with this repo-diving and construction of documentation done by "Devin" for DeepWiki.
"Qio" is a CLI that I built to use with a database structure I came up with to keep a knowledge base of things like CLI things and one-liners or SQL or URLs or team lists or whatever ("rainbow.toml" is the database, "q" is short for queue, and "qio" is the clever CLI tool name that nobody had taken yet).
This was written before I was into TDD so it's not the *greatest* golang in the universe but my choice at the time was to lean heavily on Viper as a framework to build a database out of its own default configuration using TOML. There's lots of room for improvement. ;)
So anyway, I'm pretty complete on docs in this repo, and it seemed like a good candidate so I put my repo into DeepWiki and got a pretty amazing result complete with an accurate illustration of my entirely invented data definition:
-
I am very impressed with this repo-diving and construction of documentation done by "Devin" for DeepWiki.
"Qio" is a CLI that I built to use with a database structure I came up with to keep a knowledge base of things like CLI things and one-liners or SQL or URLs or team lists or whatever ("rainbow.toml" is the database, "q" is short for queue, and "qio" is the clever CLI tool name that nobody had taken yet).
This was written before I was into TDD so it's not the *greatest* golang in the universe but my choice at the time was to lean heavily on Viper as a framework to build a database out of its own default configuration using TOML. There's lots of room for improvement. ;)
So anyway, I'm pretty complete on docs in this repo, and it seemed like a good candidate so I put my repo into DeepWiki and got a pretty amazing result complete with an accurate illustration of my entirely invented data definition:
-
I am very impressed with this repo-diving and construction of documentation done by "Devin" for DeepWiki.
"Qio" is a CLI that I built to use with a database structure I came up with to keep a knowledge base of things like CLI things and one-liners or SQL or URLs or team lists or whatever ("rainbow.toml" is the database, "q" is short for queue, and "qio" is the clever CLI tool name that nobody had taken yet).
This was written before I was into TDD so it's not the *greatest* golang in the universe but my choice at the time was to lean heavily on Viper as a framework to build a database out of its own default configuration using TOML. There's lots of room for improvement. ;)
So anyway, I'm pretty complete on docs in this repo, and it seemed like a good candidate so I put my repo into DeepWiki and got a pretty amazing result complete with an accurate illustration of my entirely invented data definition:
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#開源分享 開源版本DeepWiki，代碼說明書自動生成器：deepwiki-open
給它一個GitHub/GitLab地址，它就能自動分析代碼結構和關係，自動生成該項目的詳細說明文件，還能畫出圖表來解釋代碼是怎麼運作的
支持自動生成Mermaid圖表展示架構和數據流
支持Docker或本地部署專案地址： github.com/AsyncFuncAI/deepwiki-open
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GitHubリポジトリを元に生成AIにより解析されたWikiページを作成できる DeepWiki が公開。例えば Misskey のリポジトリであれば
https://github.com/misskey-dev/misskeyのgithub.com部分をdeepwiki.comにするだけで以下のようなページが作成され参照できます
https://deepwiki.com/misskey-dev/misskey
※生成AIによるコンテンツのため正確性の保証はありませんので利用には細心の注意を払ってください #deepwiki
