Since Copilot was enabled, I came up with the idea to first write my intention as a comment and then complete the individual steps with Copilot: I wanted to analyze a text with Python for symbol frequencies and a few other statistics, but since my Python skills were a bit rusty, several common commands didn’t occur to me at first. I came across one use case of Copilot around New Year’s, when I spent a few days working on text compression. Sometimes suggestions are partially correct, so you accept and adjust them briefly, which for me personally didn’t really affect the workflow. On the other hand, the completion of structures like lambda expressions in Java is very good, as well as the completion of bracket substitution and semicolons, which Intellij on its own does not offer you in this form. This is possible in Intellij as well as VS code with two mouse clicks. The current solution that has helped me in these situations is to disable Copilot for the time being until I find a solution. In the worst case, this blocks the workflow completely. Intellij to find the possible functions on an object, it often happens that Copilot tries to invasively complete the code based on the context. Especially if you are currently looking for a good solution yourself and use standard tools from e.g. When it comes to meaningful completion of more sophisticated logical structures, the quality differs significantly. In general, it can be stated that Copilot can especially complete repetitive code structures well.įigure: Repetitive code structure example with i18nįigure: Repetitive code structure example with HTML The suggestions regarding translations of text modules (i18n files) were very pleasant. Since this Problem can be hard to capture, I was only able to get a screenshot when trying it in german:Įspecially in situations where a certain basic structure is standard, such as in tests, (standard) configurations or well-structured code such as in CSS or HTML, Copilot works optimally. When working with Copilot, such incidents occur from time to time. One error that LLMs can have due to this kind of completion is that recursion occurs the input in this case generates an output, which taken as input suggests the same output again. ![]() By pressing Tab, Copilots suggestions can be inserted directly into the code. ![]() Since these suggestions of course depend directly on the readability and the given context of the input, the results here differ considerably. The input of the LLM used by Copilot is therefore the already existing code, the output of the model is always the next token, or the next code snippet. GitHub Copilot basically tries to further complete the code that has already been entered. I will illustrate what working with Copilot looks like with a few examples. The quality of the suggestions differed significantly depending on the situation. ![]() In VS code, Copilot’s completions seemed quite snappy, in Intellij on the other hand, Copilot’s code completions overrode IntelliSense’s completions, sometimes resulting in a very unpleasant user experience. I tested Copilot in IntelliJ, as well as in VS-Code, the experiences were different depending on the IDE. GitHub Copilot Account: Of course you need to sign up for GitHub Copilot, currently you can take advantage of a 2 month free trial before it becomes chargeable. Besides the most common IDEs like Visual Studio Code and IntelliJ, Atom, Emacs and Vim are currently supported as well.Ĭonnection to GitHub: The IDEs must be connected to GitHub in order for Copilot to send the entered text and code snippets to Copilot. Supported IDE: To use GitHub Copilot you need a supported IDE in addition to a GitHub account. It was initially free to use, but Copilot now costs $10 per month. In this TechUp, I will illustrate how well, but also how poorly something like this can work.Ĭopilot was announced in June 2021 and has been available to all GitHub users since October 20, 2021. Simply put, it is a tool that uses a pre-trained machine learning model to try to complete the text and code already entered. ![]() GitHub Copilot is a tool developed by OpenAI and GitHub that aims to write code when given either already written code or natural language.Ĭopilot is based on OpenAI Codex, a LLM (Large Language Model) built on GPT-3 and trained on both natural language and code.
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