Best AI tools for< Lint Code >

ChatDBT is a DBT designer with prompting that helps you write better DBT code. It provides a user-friendly interface that makes it easy to create and edit DBT models, and it includes a number of features that can help you improve the quality of your code.

Quack Companion is a VSCode extension that provides smart linting, code chat, and coding guideline curation for developers. It aims to enhance the coding experience by offering a new tab with features like curating software insights with the team, code chat similar to ChatGPT, smart linting, and upcoming code completion. The extension focuses on creating a smooth contribution experience for developers by turning contribution guidelines into a live pair coding experience, helping developers find starter contribution opportunities, and ensuring alignment between contribution goals and project priorities. Quack collects limited telemetry data to improve its services and products for developers, with options for anonymization and disabling telemetry available to users.

This repository contains various packages and demo apps related to consuming Cloudflare's AI offerings on the client-side. It is a monorepo powered by Nx and Changesets. The repository provides custom providers for enabling Workers AI's models and AI Gateway Provider for Vercel AI SDK. It also includes guidelines for local development, testing, linting, creating new demo apps, contributing, and the release process.

LangChain Google is a repository containing three packages with Google integrations: langchain-google-genai for Google Generative AI models, langchain-google-vertexai for Google Cloud Generative AI on Vertex AI, and langchain-google-community for other Google product integrations. The repository is organized as a monorepo with a structure including libs for different packages, and files like pyproject.toml and Makefile for building, linting, and testing. It provides guidelines for contributing, local development dependencies installation, formatting, linting, working with optional dependencies, and testing with unit and integration tests. The focus is on maintaining unit test coverage and avoiding excessive integration tests, with annotations for GCP infrastructure-dependent tests.

Fix YAML syntax errors in Helm charts and YAML files.