Reliable AI workflow with GitHub Copilot: complete guide with examples

In 2025, AI coding assistants like GitHub Copilot, Tabnine, and Amazon CodeWhisperer are revolutionizing software development by enhancing productivity and creativity. These tools are not just speeding up coding; they are changing the entire process of building, testing, and maintaining software. As AI becomes a core part of development workflows, it’s also shifting the skills needed in the tech industry, making it an exciting time for developers and companies alike.

GitHub Copilot can sometimes take creative liberties when making changes, leading to unexpected results. This article discusses the author's experience with Copilot's Agent mode, highlighting the importance of using instructions files to guide the AI's actions. By implementing these guide rails, users can better control the output of Copilot, ensuring it aligns more closely with their specific needs. This is crucial for developers who rely on AI assistance to enhance their productivity without the risk of unintended modifications.

This article provides a comprehensive guide on building a design kit for multiple React projects, emphasizing the importance of having a single source of truth. By centralizing design tokens and components, updates can be efficiently managed across various projects, ensuring consistency and ease of use. This approach not only streamlines the design process but also enhances collaboration among teams, making it a valuable resource for developers looking to improve their workflow.

Repomix is making waves in the tech community with its innovative Gitignore feature, which streamlines the process of managing files in a repository. This functionality not only enhances the efficiency of file handling but also optimizes the tool for AI applications. Understanding how this feature works is crucial for developers looking to leverage Repomix effectively, as it can significantly improve their workflow and project organization.

A new study highlights the challenges of evaluating AI-generated code, particularly in how well it meets developer intent. With tools like GitHub Copilot generating a significant portion of code, traditional evaluation methods are proving inadequate. This research introduces a novel approach using contrastive learning to improve code evaluation, which could lead to more effective and scalable solutions in the future. This matters because as AI continues to play a larger role in software development, ensuring the quality and functionality of generated code is crucial for developers and the industry as a whole.

Microsoft has made a significant move by extending its GitHub Copilot AI technology to popular development environments like Apple's Xcode, JetBrains IDEs, and the open-source Eclipse project. This expansion introduces new features such as MCP Registry and Allowlist Controls, which are now available in public preview. This is important because it enhances the coding experience for developers, making it easier and more efficient to write code across various platforms.

In a recent exploration of Go, the author shares insights on organizing a study API using the Fiber framework. After some initial struggles with Go's package system, they discovered a structure that enhances readability and allows for easy feature extensions. This approach not only simplifies the development process but also encourages best practices in API design, making it a valuable resource for developers looking to improve their skills in Golang.

Exciting news for tech enthusiasts! The Mixed Reality Link and Windows App for Meta Quest are now generally available, allowing users to harness the full capabilities of Windows 11 and Windows 365 on mixed reality headsets. This development is significant as it enhances productivity and offers a new way to interact with digital environments, making work more immersive and engaging.

ScaleAI is making significant strides in the field of artificial intelligence, showcasing how enterprise leaders are effectively leveraging generative and agentic AI technologies. This progress is crucial as it highlights the potential for businesses to enhance their operations and innovate, ultimately driving growth and efficiency in various sectors.

Delta Sharing is experiencing remarkable growth, boasting a 300% increase year-over-year. This surge highlights the platform's effectiveness in facilitating data sharing across organizations, making it a vital tool for businesses looking to enhance their analytics capabilities. As more companies adopt this technology, it signifies a shift towards more collaborative and data-driven decision-making processes.

The recent partnership between Databricks and Palantir is already making waves, with over 100 customers leveraging their combined strengths to transform their businesses. This collaboration not only enhances data analytics capabilities but also empowers organizations to make more informed decisions, driving innovation and efficiency. It's exciting to see how these companies are shaping the future of business through their strategic alliance.

WhatsApp is enhancing its security features by allowing users to utilize passkeys for their backups. This update is significant as it adds an extra layer of protection for personal data, making it harder for unauthorized access. With cyber threats on the rise, this move reflects WhatsApp's commitment to user privacy and security, ensuring that sensitive information remains safe.

The article highlights the significance of standard-cell architecture in adaptable ASIC designs, emphasizing its benefits such as being fully testable and foundry-portable. This innovation is crucial for developers looking to create flexible and reliable hardware solutions without hidden risks, making it a game-changer in the semiconductor industry.