It’s still part of my toolkit because it’s useful in certain scenarios and helps keep my OpenAI API usage down for the simpler stuff. So, I find myself at a crossroads with Copilot. I’ve been trying out Tabnine’s inline suggestions and they’re just as good, if not better, at times. Then there’s Cursor editor, which feels like a beefed-up VSCode with its cool features like Documentation Indexing, Site Crawling, and a Langchain-based debug agent, not to mention the super handy for code snippets.Ĭopilot Chat has been great for inline code suggestions, but when it comes to maintaining a conversation, it feels a bit behind the curve compared to these others. CodiumAI impresses with its testing capabilities and its unique angle as an open-source PR agent. Take Tabnine, for example – their chat for slash commands and documentation generation is super slick. That said, I’ve been noticing some standout features in other tools that seem to edge out Copilot and Copilot Chat in certain areas. I’m genuinely enthusiastic about AI tools in development, especially for VSCode. Just realized I was mixing up Visual Studio with VSCode after writing my thoughts below, oops □. Copilot will provide you with useful information about the test failure, such as the assertion message, the expected and actual values, the source code, and possible solutions. Test failure Analysis: Copilot helps you debug and fix the failures of your unit tests.Copilot will analyze the performance data collected by the Visual Studio Performance Profiler and suggest ways to improve the speed, memory usage, and responsiveness of your code. Suggestions in the Performance Profiler: Copilot helps you optimize the performance of your code. These will than automatically added to the context of your question so copilot can use those for answering your question. By using #solution you are letting Copilot know to search your solution for relevant code to the question.
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