![]() For my 11'th Cake Day, I offer 30x SQLPro Studio for iOS yearly license key promo codes.Most database management systems only support one or a few, so you end up using multiple database managers, which defeats their purpose in the first place. SQLPro is a long running macOS app and I've release the iOS app earlier this year. SQLPro Studio for iOS supports MySQL, Postgres and Microsoft SQL Server. ![]() It comes with sample databases letting you test it out and has some pretty cool features including. SQLPro Studio is the premium database management tool for Postgres, MySQL, Microsoft Management Studio and Oracle databases.Some of the great features include: + Intellisense/SQL autocompletion. + Syntax highlighting with customizable themes (including dark). Contribute to hankinsoft/SQLPro development by creating an account on GitHub. Feature Request SQLPro Studio iPadOS: Better integration with file providers. Export to CSV using Pipe Not Working #498 opened by diek. No Database #494 opened by Curtis-Jiang-2020. Feature Request.The debate about whether AI will eventually take over our jobs, including even those related to software engineering, is not a new one. ![]() This debate may pop up again now that OpenAI and Microsoft have collaborated to offer an AI-powered pair programming capability in Visual Studio Code. This comes via an extension called "GitHub Copilot", which works with Visual Studio Code regardless of whether it is running on your local machine or on GitHub Codespaces. The technical preview works with multiple languages and frameworks but the key ones where it returns decent results is Python, JavaScript, TypeScript, Ruby, and Go. The "Copilot" in the branding seems to somewhat emphasize that you'll be the one in control of your code and that the AI pair programmer will learn from your coding style and edits. The dedicated webpage has emphasized that this capability is different than standard autocomplete functionalities available in most integrated development environments (IDE). This is because it uses context from your comments, function names, and the code itself to try and develop safe code for you. An example of this is where you write a meaningful comment and a function name below it, and GitHub Copilot automatically writes the rest of the function for you including handling the return types. In an ideal scenario, this means that you could just write a comment describing what your piece of code should do, and have AI actually write out the code. In terms of technicalities, GitHub Copilot is powered by OpenAI Codex, which is an AI system developed by OpenAI. It has been trained on code and natural English language available public GitHub repositories. ![]() While the AI is obviously not perfect and the developer using it should be held accountable at the end of the day, when trained on empty Python function bodies, it produced the correct result on the first attempt 43% of the time. After 10 retries, this number grew to 57%, improvements which are common in AI development in general. GitHub Copilot will get better if it is used more. ![]()
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