Vibe Automation Coding: Integrating GitHub Copilot in VS Code for AI-Powered Playwright Automation

The portfolio reWireAdaptive, in association with the @reWirebyAutomation channel, presents an introductory article on GitHub Copilot, an AI pair programmer. This article, titled “Vibe Coding” explores how AI-assisted automation, specifically “Vibe Automation Coding,” can generate tests alongside an AI companion.

In my exploration of GitHub Copilot’s integration with VS Code, I focused on its application within Playwright automation. I examined how Copilot generates code, identifies and fixes issues, refactors, and documents test scripts. This analysis forms the basis of the following discussion.

I consistently follow advancements in AI across Microsoft products and other vendor platforms. After reviewing Microsoft’s announcements during their 50th anniversary, I learned that GitHub Copilot now integrates with prominent development IDEs. These integrations are poised to extend benefits to automation coding as well.

GitHub Copilot is designed to assist in both development and automation tasks by generating code and more. It leverages several large language models from providers such as Anthropic, OpenAI, and Gemini. While enterprise users benefit from an authenticated mechanism, public users are given the flexibility to explore and experience its features as free version. Additionally, the tool offers an autonomous agent mode that uses MCP features to invoke external tools through LLMs.

Copilot comes with the necessary coding features required for both development and automation, including code generation, code review, code explanation, and code documentation. It also integrates with various in-house tools including MCP tools to operate across multiple programming languages and platforms.

The agent mode of Copilot accepts natural language prompts, breaks them down into tasks, and executes them sequentially. For example, in an automation context, it can execute tests based on a given context, generate and open reports, perform failure analysis on unsuccessful scripts, and provide conclusions. Additionally, it can analyze failed tests, offer suggestions for fixes, and re-execute corrected scripts.

A simple setup process makes it easy to understand the codebase or the development context. By accepting inputs in natural language, GitHub Copilot assists users in generating code according to their requirements. Moreover, it supports inline chat, provides context-sensitive code fixes, and can update multiple files simultaneously, such as adding documentation across a folder of tests.

Final Insights: GitHub Copilot in VS Code for AI-powered Playwright automation, discover how AI AI-powered feature generates, corrects, and refactors code to boost productivity and quality. This concise study reveals the implementation experience of AI pair programming and automation coding, enabling automation developers to overcome challenges and significantly accelerate innovative automation solutions.

| Refer to the infographic embedded for Final Insights:

Please refer to the voiceover for the “Github Copilot Integration with VS Code for AI Powered Playwright Automation” session available on the @rewirebyautomation YouTube channel.

With this, @reWireByAutomation has explained a “Vibe Automation Coding: Integrating GitHub Copilot in VS Code for Playwright Automation” from an I AI-powered automation objective perspective.

Stay tuned for the next article and session from rewireAdaptive

This is @reWireByAutomation, (Kiran Edupuganti) Signing Off!