GitHub Trends

#java#github#hosts A hosts file is a simple text file that maps domain names to IP addresses, allowing your computer to resolve websites locally without contacting DNS servers. By modifying your hosts file with curated lists of malicious domains, you can block ads, malware, trackers, and other unwanted content before they reach your browser. This approach works across all operating systems and provides protection even when you're offline. The main benefit is enhanced security and privacy—malware requests never leave your computer, and tracking attempts are prevented at the source. You can use pre-maintained hosts files from repositories like Steven Black's GitHub project, which combines high-quality blocklists and is regularly updated. https://github.com/maxiaof/github-hosts

#lua#github#neovim Octo.nvim lets you edit and review GitHub issues, pull requests, and discussions right in Neovim. Just open with commands like `//github.com/user/repo/issues/1` or `w` to sync changes instantly. Add reactions, labels, assignees, or reviewers easily. This saves time by keeping all GitHub work in your editor—no browser switching—boosting productivity for developers managing repos. https://github.com/pwntester/octo.nvim

#go#github#mcp#mcp_server The GitHub MCP Server helps developers by connecting AI tools directly to GitHub. This allows AI assistants to manage issues, pull requests, analyze code, and automate workflows using natural language commands. It simplifies tasks like creating pull requests, reviewing code changes, and monitoring CI/CD pipelines. By automating these tasks, developers can focus more on coding and problem-solving, making their work more efficient and productive. https://github.com/github/github-mcp-server

#python#copilot#csharp#dotnet#github#github_copilot#github_copilot_chat#github_copilot_for_azure#github_copilot_free#github_copilot_training#javascript#lab#labs#microsoft#python#sql#tutorial#tutorial_code#tutorial_exercises#visual_studio_code#vscode GitHub Copilot’s new Agent Mode is a powerful AI coding partner that goes beyond just suggesting code—it can independently write, debug, and improve your code, handle complex workflows, and even fix its own mistakes automatically. It works with multiple programming languages and integrates with popular development tools, helping you save time on repetitive tasks like testing, deployment, and refactoring. By using natural language prompts, you can guide it to complete multi-step projects, making coding faster and easier whether you’re a beginner or an expert. This course teaches you how to fully use these features, boosting your productivity and coding skills. https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming