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In this workshop, you’ll learn how to build your own GitHub application that uses Amazon Bedrok to fix grammar mistakes on your markdown files

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Bedrock + Wing Workshop

Building a Serverless Workflow, Powered by AI

This repo is a step-by-step guide for an online workshop (Eventbrite).

This workshop is available on youtube

Any issues? Questions? Let's talk!

Please join Winglang's Slack; we have a dedicated channel for this workshop #workshop-bedrock.

During the session, you'll learn the following

  • Build a GitHub App and Deploy it to AWS (using terraform)
  • Introduction to Amazon Bedrock
  • Using Amazon Bedrock resources from Wing
  • Creating a GitHub App from scrath, developing it locally

Some General Resources

The Application

A GitHub Application (AKA GitHub bot) that listens to any incoming pull requests and corrects spelling, grammar, & punctuation for any *.md files changed during the pull request.

See Demo

Workshop Sessions

  1. Setup & Prerequisites - Tools, setup, and getting access to AWS Bedrock Foundation Models (link).
  2. Why Winglang - Problems with serverless, and the Wing approach (pdf).
  3. Introduction to Bedrock - A short introduction to Amazon Bedrock service by Arik Porat, Solutions Architect at AWS.
  4. Using Bedrock in Wing - Installing & using the winglibs/bedrock module (link).
  5. Create a GitHub App - Step by step guide to creating a GitHub app (link).
  6. Wing's GitHub Module - Using winglibs/github instead to make an uppercase bot (link).
  7. Spell Checking with Bedrock - Modifying the files based on winglibs/bedrock (link).
  8. Deploy to AWS - Deploying the application to AWS (link).

What's Next?

In the next session, we will be using LangChain with AWS Bedrock to embed documents into Momento Vector Index.

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In this workshop, you’ll learn how to build your own GitHub application that uses Amazon Bedrok to fix grammar mistakes on your markdown files

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