CodeClimate Reviews

Bard AI Reviews

CodeClimate mentions (11)

• free-for.dev

  Codeclimate.com — Automated code review, free for Open Source and unlimited organisation-owned private repos (up to 4 collaborators). Also free for students and institutions. - Source: dev.to / over 1 year ago

• How To Use Code Climate To Improve Software Quality

  Want to know how to enforce allowing only high-quality software into production? Check out this post on how to use CodeClimate can help you do just that! #DevOps #SoftwareDeveloper #softwaredevelopment #SoftwareEngineering #webdevelopment #codequality. Source: almost 2 years ago

• RFC: A Full-stack Analytics Platform Architecture

  Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes... - Source: dev.to / about 2 years ago

• Adding coverage to CI pipeline?

  The new code should not drop existing code coverage I've found in practice mainly catches changes to existing code that lack proper updates to existing tests. Our company uses Code Climate for these checks, so we don't have to manage / write our own tooling for this purpose. Source: over 2 years ago

• Node.js best practices list (July 2021)

  TL;DR: Using static analysis tools helps by giving objective ways to improve code quality and keeps your code maintainable. You can add static analysis tools to your CI build to fail when it finds code smells. Its main selling points over plain linting are the ability to inspect quality in the context of multiple files (e.g. Detect duplications), perform advanced analysis (e.g. Code complexity), and follow the... - Source: dev.to / almost 3 years ago

Bard AI mentions (112)

• Generating meaningful test data using Gemini

  In this article, let's look at how one can use generative AI, namely Gemini by Google, to generate (hopefully) meaningful data for the properties of multiple objects. To do this, I will use the RESTful service to generate data in a JSON format and then use the received data to create objects. - Source: dev.to / 11 days ago

• Exploring the Conversational AI Landscape: A Tour of Leading Platforms

  Gemini: Developed by Google, Gemini is a powerful conversational AI platform that leverages the tech giant's vast resources and expertise. With its cutting-edge algorithms and scalable infrastructure, Gemini enables businesses to build intelligent chatbots and virtual assistants that deliver seamless experiences across platforms. - Source: dev.to / about 2 months ago

• Agents of Change: Navigating the Rise of AI Agents in 2024

  Google AI Studio serves as a hub for integrating Google's advanced AI models, including the newly launched Gemini series. It offers a streamlined interface and features like the Gemini 1.5 model, which boasts a 1-million-token context window for handling complex datasets and queries efficiently. - Source: dev.to / 2 months ago

• Sentiment Analysis with PubNub Functions and HuggingFace

  At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / 3 months ago

• Stop Wasting Time on 'Community'

  Https://archive.md/gkMOo *In business. Summarized in one paragraph via: https://gemini.google.com. - Source: Hacker News / 3 months ago