The path to automation opens a world of possibilities. It’s an opportunity for professional growth, skill enhancement, and a chance to increase your impact on your team and projects significantly. As a QA professional, you possess a unique set of skills and insights that are immensely valuable in the sector of automation. This transition is not merely a change in day-to-day tasks but a promising venture into a space brimming with innovation.

Testing Pull Requests (PRs) in software development offers numerous advantages. It fosters collaboration among team members, minimizes errors, provides valuable learning opportunities, promotes transparency, and facilitates the onboarding process for new developers. Encouraging Collaboration: PRs promote open discussions regarding code changes, enabling developers to provide feedback, propose enhancements, and seek clarification before integrating new code.

The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Today, 44% of organizations are experimenting with generative AI, with 10% having already implemented it in operational settings. Companies must act now in order to stay in the AI Race.

In computing, logging involves maintaining a record of events within a computer system, encompassing issues, errors, or pertinent information about ongoing operations. These events can manifest within the operating system or other software, with each occurrence documented through the creation of a message or log entry. Logging is crucial for comprehending the application's behavior, aiding in the identification of unexpected issues, debugging, or merely monitoring events.

Discover how adopting DevOps principles can transform your organization's mobile app development. We dive into the benefits of DevOps, from enhancing collaboration to streamlining production pipelines with Bitrise's solutions.

Build your own generative AI chatbot! This post is a continuation of our earlier blog post, “Assembling a RAG architecture using Fivetran.”