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WillBeebe/README.md

Past Projects:

Rad Ai

  • Cloud Canvas - 2024
    • A visual tool to manage your cloud infrastructure. By connecting canvas-packes together, Cloud Canvas manages the provisioning, monitoring, and deprovisioning lifecycle for you. Terraform, Ansible, Chef, Helm, bash, it doesn't matter, it handles it all for you behind the scenes. The agentic layer on top of this product is natural-language driven and can provision one to many pieces of infrastructure for you, powered by the core technology of Cloud Canvas itself.
    • cloud-canvas - React Frontend, Python API, and k8s manifests for running the UI and state storage layer.
    • package-provisioner - Event-based Go service that uses Terraform, Helm, bash, etc to provision the cloud resources.
    • auth-service - Go service to handle auth for all Rad Ai products.
    • canvas-packages - Collection of infrastructure packages, each its own distinct module for provision infrastructure in the cloud via Cloud Canvas.
  • Ada - 2024
    • A Claude-like coding web app. You choose the provider, whether it be Anthropic, OpenAI, Google, Cohere, or any others supported by ada-python. Code samples are displayed alongside your prompt in a friendly user interface. The agentic layer on top is meant to automate common tasks like code changes, completing issues, opening pull requests, etc... all on your behalf. A 10x engineer at your fingertips.
    • ada - React Frontend, Python API, and k8s manifests for running the UI and state storage layer.
    • ada-python - python package to make interacting with several llm providers much easier
    • ada-cli - golang cli to make, most things easier
      • helps with apps, infrastructure, and agents. works well with ada-python
    • ada-gh-bot - github bot that makes issues and pull requests better by making them ai-enabled.
      • works well with Ada... among other providers

Miscellaneous

  • Other 2024 Code
  • Photo App - 2023
    • FlutterFlow app + JavaScript Cloud Function + Terraform
    • Built so I have control over the ingestion pipeline. I add labels in Lightroom and those plus image metadata are stored in Firestore, available for queries from the frontend.
    • live app - repo
  • Massdriver Application Examples
    • All of the GCP examples here
    • k8s examples in Rust and NodeJS, examples of Azure blob storage, GPU-enabled k8s deployment, etc. link
  • ShipShape - 2020
    • Get alerts for packages being delivered, from multiple providers.
    • React + Firebase
    • repo
  • LoveBlocks - 2017
    • Love notes stored on the blockchain, displayed in augmented reality

Free Code:

  • Ada

  • Stable Diffusion scripts, Docker containers, k8s yaml for GCP GKE - link

Terraform

JavaScript

  • Funpack - like webpack but for "Serverless" JS functions - repo

Erlang

  • Goth - Google Oauth in Erlang - repo

Guides

  • Learning Frontend (WIP) - repo
  • Learning Backend (WIP) - repo

willbeebe

Connect with me:

will-beebe

Languages and Tools:

aws azure babel bash circleci coffeescript dart docker dotnet elasticsearch elixir erlang express firebase flask flutter gcp git go grafana graphql hadoop html5 invision java javascript jekyll jenkins kafka kibana kubernetes linux mongodb mssql mysql nginx nodejs photoshop php postgresql postman puppeteer python pytorch rabbitMQ rails react redis redux ruby rust sass selenium spring travisci typescript unity webpack

visitors

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  1. ada-python ada-python Public

    Python 2

  2. ada-cli ada-cli Public

    Go