Ruby on Rails Reviews

1. Stan

   · Founder at SaaSHub · about 1 year ago
   The most productive web framework

   Yes, there are other more trending frameworks; however, nothing reaches the productivity of Rails. It's simply unbeatable if you have a small team.

   For example both SaaSHub and LibHunt were built on Rails.

   🏁 Competitors: Django, Laravel

Amazon Kendra Reviews

Ruby on Rails mentions (142)

• Unlocking Opportunities: How to Thrive as a Ruby Engineer in Today's Tech Landscape

  Ruby on Rails open source projects. Contribute and learn at the same time. - Source: dev.to / 5 days ago

• Open Source: A Goldmine for Indie Hackers

  Speed of Development: Frameworks such as Django or Rails accelerate the development process. - Source: dev.to / 6 days ago

• Indie Hacking with Open Source Tools: Innovating on a Budget

  This ecosystem is fueled by repositories hosting powerful languages, functions, and versatile tools—from backend frameworks like Django and Ruby on Rails to containerization with Docker and distributed version control via Git. Moreover, indie hackers can also utilize open source design tools (e.g. GIMP, Inkscape) and analytics platforms such as Matomo. - Source: dev.to / 7 days ago

• Charybdis ORM: Building High-Performance Distributed Rust Backends with ScyllaDB

  Ruby on Rails (RoR) is one of the most renowned web frameworks. When combined with SQL databases, RoR transforms into a powerhouse for developing back-end (or even full-stack) applications. It resolves numerous issues out of the box, sometimes without developers even realizing it. For example, with the right callbacks, complex business logic for a single API action is automatically wrapped within a transaction,... - Source: dev.to / 17 days ago

• Ask HN: What's the ideal stack for a solo dev in 2025

  As it's just you I'd stick with Ruby on Rails 8[1] as you already know it and I think it could realistically easily achieve what you're proposing. There's lots of libraries to for calling out external AI services. e.g. Something like FastMCP[2] From the sound of it that's all you need. I'd use Hotwire[3] for the frontend and Hotwire Native if you want to rollout an app version quickly. I'd back it with... - Source: Hacker News / about 2 months ago

Amazon Kendra mentions (9)

• Building Custom Kendra Connectors and Managing Data Sources with IaC

  In today's AI-driven business landscape, chatbots have become the primary interface between companies and their customers. The effectiveness of these AI assistants hinges on one critical factor: the quality and accessibility of the data they're trained on. Amazon Kendra offers a powerful solution - a fully managed service that intelligently indexes and retrieves information from multiple data sources, enabling... - Source: dev.to / about 2 months ago

• Deploy Amazon Q Business with AWS CDK - example and best practices

  The Q Business retriever is used to read the data from the index when users interact with the Q Business. You must specify the index type (in this example NATIVE_INDEX instead of using Amazon Kendra) and a reference to the index itself. - Source: dev.to / 9 months ago

• How to Build Chatbots with Amazon Bedrock & LangChain

  I recommend you look deeper at LangChain if you are not already familiar with it. You can also look at the aws-samples Github page; they have some great examples to get you started. For example, you could add Amazon Kendra to the mix. Connect it with one of its many sources, like Atlassian Confluence, and set up Langchain to utilize the Kendra retriever. And now you have a chatbot that can answer questions based... - Source: dev.to / over 1 year ago

• [P] Integrating a language model into an e-commerce website

  If you're doing this on AWS they already have a really contained solution for this. I'm sure Azure has a similar solution. I'll assume AWS - if so, AWS Kendra is a good place to start. This will give you performant natural language understanding and enterprise search support. Then you just need to map the rest of your desired functions to core AWS solutions. Source: almost 2 years ago

• Amazon Titan

  > > One of the most important capabilities of Bedrock is how easy it is to customize a model. Customers simply point Bedrock at a few labeled examples in Amazon S3, and the service can fine-tune the model for a particular task without having to annotate large volumes of data (as few as 20 examples is enough) I can't even. Does anyone remember Amazon Kendra [1]? They promised the same there. "Here's an ML powered... - Source: Hacker News / about 2 years ago