GitHub Copilot Reviews

1. Stan

   | Founder at SaaSHub | 3 months ago
   Indispensable

   It definitely increases my productivity.

   🏁 Competitors: TabNine

EnTT Reviews

GitHub Copilot mentions (215)

• Introduction to Devin - The First AI Software Developer

  Devin isn't similar to other coding assistants like Copilot. While Copilot suggests lines of code, Devin can actually create entire programs by itself based on instructions. It's a game-changer. Imagine a world where intricate software applications materialize at the speed of thought. Devin possesses this very ability. It can churn out lines of clean, efficient code at an astonishing rate, leaving human... - Source: dev.to / 8 days ago

• 17 Best Developer Productivity Tools to Try

  Bow down to the undisputed ruler of version control: GitHub. With its suite of powerful features, including automated deployments via GitHub workflows, the AI-driven assistance of GitHub Copilot, and the proactive security patching from Dependabot, GitHub is at the forefront of development innovation. Much like Visual Studio Code is the preferred choice for coding, GitHub is the go-to platform for version control... - Source: dev.to / 20 days ago

• Integrate Copilot feature into your React applications using CopilotKit

  In the ever-evolving landscape of web development, enhancing user experience is necessary. One innovative way to achieve this is by integrating an AI copilot into your application. Inspired by tools like GitHub Copilot, which assists developers by suggesting code snippets and entire functions in real-time, AI copilots can dramatically streamline user interactions within an app. - Source: dev.to / 28 days ago

• This is the best new feature from POST/CON

  Related requests are taking that a step further. It sees what you're building and offers recommendations from the vendor to get you to your end goal faster. Not only is it offering suggestions, but it's also adding functional requests to your collections. Think of this almost like Amazon CodeWhisperer or GitHub Copilot but for Postman. Except that it's a version trained on exclusively reputable sources with... - Source: dev.to / 29 days ago

• How to develop your skillset for the AI era

  Over the last few years, we've watched AI take giant leaps in coding – from AI-assisted coding tools like GitHub Co-Pilot to the first AI engineer named Devin. This explosion of AI capabilities has sparked endless debates, with the burning question on everyone's mind being: does software engineering still have a future? - Source: dev.to / about 2 months ago

EnTT mentions (32)

• Using Jolt with flecs & Dear ImGui: Game Physics Introspection

  EnTT is a popular alternative to flecs for C++, which has different performance/memory characteristics. - Source: dev.to / about 1 month ago

• Focus: A simple and fast text editor written in Jai

  Https://pastebin.com/VPypiitk This is a very small experiment I did to learn the metaprogramming features. Its an ECS library using the same model as entt (https://github.com/skypjack/entt). In 200 lines or so it does the equivalent of a few thousand lines of template heavy Cpp while compiling instantly and generating good debug code. Some walkthrough: Line 8 declares... - Source: Hacker News / 9 months ago

• Introducing Ecsact

  Since we wanted a common game simulation that would be on both the server and the client we looked into a few libraries that would fit our ECS needs. It was decided we were going to write this common part of our game in C++, but rust was considered. C++ was a familiar language for us so naturally EnTT and flecs came up right away. I had used EnTT before, writing some small demo projects, so our choice was made... - Source: dev.to / 11 months ago

• Sharing Saturday #472

  Are you sure you don't want to use a C++ package manager? Libtcod is on Vcpkg and with that setup you could add the fmt library or EnTT. Fmt fixes C++'s string handling and EnTT fixes everything wrong with the entities of the previous tutorials. Source: 11 months ago

• What are the limits of blueprints?

  There's also a performance question. While we can now use Blueprint nativization to convert Blueprints to C++ the result will be a fairly naive version, fast enough for most purposes but not if you're trying to push every bit of performance. This is where you're looking at making sure you're hitting things such as using the CPU cache as well as possible for an ECS system (Look at ENTT or Flecs if you want to see... Source: about 1 year ago