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If you're looking for the easiest way to generate API docs for your Laravel application that are also beautiful, try this: 1. Composer require Scribe (knuckleswtf/scribe) This is an API doc generator that consumes your routes, requests, models, and resources, to auto-generate from 2. Configure Scribe Output Set the... show more

Steve Bauman

8,472 subscribers

15,206 Aufrufe • vor 1 Jahr •via X (Twitter)

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10 Kommentare

Profilbild von SecurityPal

SecurityPalvor 2 Jahren

Questionnaire Concierge is now available as an API! With the new API, you can: 📝 Create new questionnaire request directly 🔍 Instantly search questionnaire details ⚒️ Build custom form and dashboard 🔗: #SecurityPal #SecurityQuestionnaires #API

Profilbild von James Brooks

James Brooksvor 1 Jahr

I gave a talk on Scribe! It’s such a great package 🥳

Profilbild von Sávio Resende

Sávio Resendevor 1 Jahr

I'm bookmarking this one, thanks man!

Profilbild von Steve Bauman

Steve Baumanvor 1 Jahr

Happy to help! It's a top tier package. Really grateful its open source and free

Profilbild von Pushpak Chhajed

Pushpak Chhajedvor 1 Jahr

uses scibe for api documentation. I will use sacler theme because its very minimalistic. Wasn’t aware about it thanks.

Profilbild von Steve Bauman

Steve Baumanvor 1 Jahr

Did not know about larasonic, very cool! Checking it out Also starred ⭐

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Hugh Messengervor 1 Jahr

Scribe is freakin' awesome, so much easier than L5-swagger or any of the other alternatives.

Profilbild von Taf Hyseni

Taf Hysenivor 1 Jahr

Used Scribe several times. Lately also found out Scramble which is similar to functionality and is beautiful as well:

Profilbild von Billiam

Billiamvor 1 Jahr

Sweet. We use GitBook but it’s a bit of a chore. Thanks for sharing

Profilbild von Steve Bauman

Steve Baumanvor 1 Jahr

I checked out GitBook as well and found you couldn't really customize much without paying for their cheapest plan at over $70 CAD per month! Wild

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kaize

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Santiago

160,154 Aufrufe • vor 2 Jahren

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20,805 Aufrufe • vor 2 Monaten

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Rhys

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Santiago

39,101 Aufrufe • vor 2 Jahren

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Santiago

20,943 Aufrufe • vor 12 Tagen

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Darren Shaw

28,511 Aufrufe • vor 2 Jahren

Love this example! Congrats to Google DeepMind! I successfully replicated the Boggle game on SWE Arena. TLDR: Gemini 2.0 Pro won! In the case of Claude 3.5 Sonnet vs Gemini 2.0 Pro, both are given the image and prompt to generate the algo to get the results. The image and prompt are exactly the same. Try it out on SWE Arena: BTW can we get a bigger streaming rate limit for our API, so that ppl can better compare the latest Gemini models with other frontier models? Jeff Dean Logan Kilpatrick 👀

Love this example! Congrats to Google DeepMind! I successfully replicated the Boggle game on SWE Arena. TLDR: Gemini 2.0 Pro won! In the case of Claude 3.5 Sonnet vs Gemini 2.0 Pro, both are given the image and prompt to generate the algo to get the results. The image and prompt are exactly the same. Try it out on SWE Arena: BTW can we get a bigger streaming rate limit for our API, so that ppl can better compare the latest Gemini models with other frontier models? Jeff Dean Logan Kilpatrick 👀

Terry Yue Zhuo

48,220 Aufrufe • vor 1 Jahr

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Faheem Ullah

26,459 Aufrufe • vor 7 Monaten

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Z A D D Y

273,106 Aufrufe • vor 1 Jahr

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Paul Couvert

42,443 Aufrufe • vor 7 Monaten

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Faheem Ullah

206,692 Aufrufe • vor 5 Monaten

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Riley Brown

31,043 Aufrufe • vor 1 Jahr

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Mr. Buzzoni

120,852 Aufrufe • vor 1 Monat

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Got the vibe but not the words? Starting today, you can simply show or tell AI Mode about what you're looking for and get rich, visual results to explore. ✨ This experience works by bringing together Search’s world-class visual understanding from Lens and Image search with Gemini 2.5’s advanced multimodal capabilities. When you show AI Mode what you’re searching for it uses our new “visual search fan-out” technique to get a deeper understanding of what’s in an image (including subtle details and secondary objects), and runs multiple queries in the background. This helps it understand the visual context and nuance of your request to deliver relevant visual responses. You can also tell AI Mode what vibe you’re going for (no image needed). For example, ask AI Mode for bedroom design inspo and go back and forth to refine your vision. We’re rolling out this experience in English in the U.S. starting this week. Try it out and let us know what you think!

Google AI

68,285 Aufrufe • vor 10 Monaten

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Don’t be confused by how the story ends- choose Hope my friends - get the cynicism and negativity and pessimism out of your system. For so many of you who see this post, that framework of what you're looking for has been crushing you, not in a good way, crushing you and hurting you over the last five years. So many people are caught up in the drama and the bullshit that so many are pushing on you because they can control you when you're scared. I promise it's much more fun to choose hope and optimism, especially when it's grounded in patience, accountability, and most of all, practical truth. This is your chance to use this post to wake you up to the fact that the people that are most controlling you are the ones that scare you the most and try to infiltrate you to deploy hate and fear

Gary Vaynerchuk

16,714 Aufrufe • vor 3 Monaten

Searching 32 million records in 30 milliseconds is insane! I don't know how large your database is, but there's no reason your search results are slower than this. typesense | is a crazy fast open-source search engine. They are like ElasticSearch but way easier to set up, configure, and use. They are sponsoring this post. You can do all of this with Typesense: • Fuzzy search: Typo-tolerant fuzzy search-as-you-type • Vector search: Return records that are similar to each other • Semantic search: Return records that are conceptually related • Geo Search: Return records that are close to a given lat/long They have client libraries in Python, JavaScript, PHP, Ruby, Go, Rust, Swift, .Net, Java, and pretty much any other programming language out there. You can start searching in less than a minute: 1. Run their Docker image (or one of their native binaries) 2. Import your data 3. Start searching! GitHub repository: I recorded a quick video to show you a demo. I promise you haven't seen something this fast! This is the best upgrade you'll make to your application this year. Guaranteed.

Searching 32 million records in 30 milliseconds is insane! I don't know how large your database is, but there's no reason your search results are slower than this. typesense | is a crazy fast open-source search engine. They are like ElasticSearch but way easier to set up, configure, and use. They are sponsoring this post. You can do all of this with Typesense: • Fuzzy search: Typo-tolerant fuzzy search-as-you-type • Vector search: Return records that are similar to each other • Semantic search: Return records that are conceptually related • Geo Search: Return records that are close to a given lat/long They have client libraries in Python, JavaScript, PHP, Ruby, Go, Rust, Swift, .Net, Java, and pretty much any other programming language out there. You can start searching in less than a minute: 1. Run their Docker image (or one of their native binaries) 2. Import your data 3. Start searching! GitHub repository: I recorded a quick video to show you a demo. I promise you haven't seen something this fast! This is the best upgrade you'll make to your application this year. Guaranteed.

Santiago

172,755 Aufrufe • vor 1 Jahr