I’ve been working on dbt-Workbench, an open-source UI for working with dbt projects beyond the CLI.
The goal is simple: make dbt artifacts (models, sources, tests, lineage, runs) easier to see and reason about, especially for larger projects where dbt docs starts to feel limiting.
This started as a personal pain point while working with complex dbt setups, and I decided to clean it up and release it openly.
It’s early, opinionated, and definitely not perfect. I’d really appreciate feedback, especially from people using dbt at scale. Happy to answer questions or hear why this is a bad idea
Explore Python's Global Interpreter Lock (GIL) with a unique bakery analogy. Understand how GIL impacts threading and performance in Python programming.
Explored the power of recursive queries in SQL to navigate and analyze hierarchical data structures, using an employee hierarchy as a case study. Leveraged recursive Common Table Expressions (CTEs) to determine each employee's level within an organization. A must-read for anyone dealing with complex database hierarchies.
Introduction
OpenAI’s ChatGPT is a powerful conversational AI model that can be used for a wide range of applications. One of the most exciting features of ChatGPT is its ability to be extended with plugins, which can provide additional functionality and allow the model to interact with third-party resources. In this article, we’ll walk through the process of creating a ChatGPT plugin that interacts with a weather API to provide real-time weather updates.
What is a ChatGPT Plugin?
A ChatGPT plugin is a piece of software that extends the functionality of ChatGPT. It allows the model to interact with third-party resources and perform tasks that it wouldn’t be able to do on its own. For example, a plugin could allow ChatGPT to interact with a database, retrieve information from a website, or even interact with a weather API to provide real-time weather updates.
Creating a Weather Plugin for ChatGPT
To create a weather plugin for ChatGPT, we’ll need to follow a few steps
It’s early, opinionated, and definitely not perfect. I’d really appreciate feedback from people using dbt at scale.
Repo: https://github.com/rezer-bleede/dbt-Workbench