Category: GitHub;/Azure DevOps

  • AI Coding Assistants in 2025: Why GitHub Copilot Dominates

    In the ever-evolving world of software development, 2025 has marked a pivotal year in how code is written, reviewed, and optimized. At the forefront of this revolution stands GitHub Copilot, a tool that not only maintains its momentum but has also solidified its dominance as the go-to AI coding assistant for developers worldwide. Seamless Integration with…

  • Top 5 CI/CD automation trends to follow in 2025

    Continuous Integration and Continuous Deployment (CI/CD) continue to be essential components of contemporary DevOps approaches as we move into 2025. Businesses that engage in automation are seeing increased developer productivity, better software quality, and quicker release cycles. However, the CI/CD implementation is changing quickly. The top 5 CI/CD automation trends for 2025 are listed here: AI-Driven CI/CD…

  • How AI-Powered DevSecOps Automation Secures DevOps Pipelines?

    DevSecOps tools has revolutionized how we build and deliver applications, breaking down silos and accelerating release cycles. However, this velocity can sometimes come at the cost of security, often relegating it to a late-stage bottleneck. Artificial Intelligence (AI) is transforming DevSecOps, supercharging its capabilities and making our pipelines more resilient. How AI Elevates DevSecOps Automation? Security…

  • Top 7 AI Tools That Supercharge DevOps Automation

    The way DevOps teams work is evolving as a result of the increasing integration of AI and machine learning into DevOps Automation from both startups and established suppliers. The DevOps Automation Services are the focus of the current generation of AI technologies, which handle routine tasks such as security, collaboration, and coding. Here are a few top…

  • Enterprise Adoption of GitHub Copilot, What to Consider Before Deploy?

    While the specifics of introducing GitHub Copilot Enterprise to your developers will depend on your company’s unique needs, successful rollouts often share common elements. By rolling out GitHub Copilot thoughtfully and considering these factors, you can achieve a greater return on investment, regardless of how many teams are already using it across your organization. Consider carefully…

  • How to Implement DevSecOps with GitHub Advanced Security?

    The speed of progress in today’s world makes security an afterthought. It is crucial to shift security to the left and include it frequently and early in the development lifecycle. This is what DevSecOps is all about. Additionally, you have a strong ally on this path if you’re already using GitHub for your development repositories:…

  • 5 Best Practices for GitHub Implementation in Large Organizations

    The sheer scale of GitHub is evident in its user base: over 73 million developers and 4 million companies collaborate across more than 200 million repositories, making it the world’s largest source code site. GitHub security can get increasingly complex and difficult to monitor as the organization’s teams expand. Additionally, hackers may be drawn to…

  • How AI Is Revolutionizing DevOps in 2025?

    Today’s DevOps process has become more intelligent and dependable, and it is mostly powered by AI technologies. By 2025, this reality will unfold as AI redefines DevOps techniques. AI transforms how we develop and implement software, automating pipelines and predicting mistakes before they happen. The top AI trends that will rule DevOps in 2025 are…

  • 5 Best Practices to Secure Azure DevOps Projects 

    As more businesses adopt Azure DevOps to streamline their CI/CD pipelines and manage code repositories, the risk of cyber threats and data breaches continues to rise. For B2B companies, a single security lapse can have wide-reaching consequences, from intellectual property theft to compliance failures. That’s why securing your Azure DevOps projects is critical business imperative. …

  • GitHub Code Scanning Using Third-Party Actions 

    GitHub’s code scanning helps identify vulnerabilities and errors in your codebase, and while CodeQL is a powerful built-in option, you can also integrate third-party tools for a tailored approach. Configuring code scanning with third-party actions allows you to leverage tools like SonarQube, Checkmarx, or Trivy within GitHub Actions workflows. By uploading results in SARIF format,…