Keeping dependencies updated is a critical but time-consuming task. Manually writing a Dependabot configuration file requires knowing the exact YAML syntax, package ecosystem names, and schedule formats. A single typo can break the automation or cause it to skip security patches. GitHub Copilot can generate this configuration file from a simple prompt, saving you from … Read more
You have a set of existing API endpoints and need to produce an OpenAPI specification for them. Manually writing the YAML or JSON file for every route, parameter, and response is time-consuming and error prone. GitHub Copilot can analyze your endpoint code and generate the OpenAPI spec automatically. This article explains how to use Copilot … Read more
Enterprise development teams often need AI code suggestions that reflect internal libraries, proprietary APIs, and company-specific coding standards. GitHub Copilot works well with public code, but without access to your private repositories or documentation, its suggestions can miss the mark. Custom knowledge bases let you feed Copilot your own code context so it generates relevant … Read more
GitHub Copilot can generate Pulumi code for cloud infrastructure, but its suggestions often need careful guidance. Without proper context, Copilot may propose incorrect resource configurations or miss required properties. This article explains the specific patterns Copilot follows when generating Pulumi programs in TypeScript, Python, and C#. You will learn how to prompt Copilot for accurate … Read more
You want GitHub Copilot to generate unit tests for your JavaScript or TypeScript code using Jest or Vitest. Writing tests manually takes time and often leads to incomplete coverage. Copilot can suggest test cases, mocks, and assertions based on your existing code and test framework. This article shows you how to set up Copilot for … Read more
Writing end-to-end tests with Playwright requires repetitive boilerplate for selectors, assertions, and page interactions. GitHub Copilot can generate this code from natural language comments, but the output quality depends on the patterns you use. This article explains the specific comment structures, prompt strategies, and code patterns that produce reliable Playwright test code from Copilot. You … Read more
When you use GitHub Copilot alongside Pylance in VS Code for Python development, you might see duplicate suggestions, incorrect completions, or a slowdown in IntelliSense responsiveness. This happens because both extensions try to provide inline code completions and type-checking information, and their default settings can overlap. This article explains why these conflicts occur and provides … Read more
When you use GitHub Copilot and Prettier together in VS Code, you may notice that code generated by Copilot is sometimes malformed or indented incorrectly. This happens because both extensions try to modify the document at the same time. One extension writes code while the other reformats it, causing overlapping edits that corrupt the file. … Read more
GitHub Copilot generates code suggestions that sometimes violate your ESLint rules. When you save the file, ESLint auto-fix changes the code. Copilot then suggests the original style again, creating an endless loop. This article explains why these loops occur and provides exact settings to stop them. The root cause is a mismatch between Copilot’s suggestion … Read more
When you debug JavaScript, Python, or TypeScript code in VS Code, GitHub Copilot may display inline variable suggestions directly in the editor. These suggestions appear as gray text next to variable names, showing predicted values or type hints. This behavior occurs because Copilot analyzes the current debugging context, including breakpoints, stack frames, and variable states. … Read more