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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 / 12 days ago
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 / 19 days ago
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 / 21 days ago
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
With the rise of ChatGPT, Bard Gemini, GitHub Copilot, Devin, and other AI tools1, developers started to fear that AI tooling would replace them. Even though their capabilities are indeed impressive, I don't fear our jobs will go away in 2024. - Source: dev.to / about 2 months ago
Maybe similar in spirit as idle games: I used to enjoy BoxCar2D where you just sit back and watch cars evolve using genetic algorithm. The original version[1] requires Flash, but looks like someone ported it to HTML5[2]: [1] http://boxcar2d.com/ [2] https://rednuht.org/genetic_cars_2/. - Source: Hacker News / 28 days ago
Watch this for a while, it randomly generates a bunch of triangles and circles, the ones that make it furthest to the right have their code passed onto the next generation with random mutations. In almost no time you'll have a bunch of cars that are evolved specifically for the niche of that track. No guidance needed. Source: 5 months ago
You can actually produce a better analogy with a genetic algorithm. In the linked example, you can watch the evolution of simulated cars. Just take note that while the simulation is a good illustration of evolution, it's also, by necessity, vastly simplified. (I guess running for about 4 billion years would incur off-putting cloud costs.). Source: 6 months ago
This really doesn't require a nural net. You can run similar learning algorithms in your browser. Source: 12 months ago
I learned about genetic algorithms: https://rednuht.org/genetic_cars_2/. Source: about 1 year ago
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