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Exploring the Power of AI in Software Development – Part 3: Advantages
- DEVOPSdigest

In DEVOPSdigest’s “AI in Software Development” series, Rahul Pradhan, VP of product and strategy at Couchbase, explains that AI enhances code quality by enforcing best practices and identifying bugs early. He also states AI increases productivity by automating routine tasks, speeds up time-to-market and reduces errors and technical debt which translates into substantial cost savings.

Agent vs. Copilot – Or, how to find the right AI fit for your business
- TechMonitor

Rahul Pradhan, VP of product and strategy at Couchbase, explains how organizations must understand the differences between agentic AI and copilots to identify the right fit for their needs. Pradhan expects the choice between agentic AI and copilots will likely become a combination of mixed approaches to ensure businesses can leverage AI to their advantage in a competitive, technology-driven landscape.

Exploring the Power of AI in Software Development – Part 2: More Processes
- DEVOPSdigest

In DEVOPSdigest’s “AI in Software Development” series, Rahul Pradhan, VP of product and strategy at Couchbase, states that automated testing frameworks powered by AI can create and run test cases, identify edge cases, and even predict potential bugs based on historical data. AI-driven tools can perform continuous testing, regression testing, and performance monitoring, ensuring that the software remains stable and meets quality standards throughout its lifecycle.

Apps, analytics and AI: 4 common mistakes
- BetaNews

Rahul Pradhan, VP of product and strategy at Couchbase, discusses how developers need competitive advantages to stand out as AI is increasing users’ demand for more relevant and immediate experiences. Pradhan explains four common mistakes that can prevent developers from experiencing the full benefits of real-time analytics powered by GenAI.

It’s adapt or die in the AI era
- Business Reporter

Chris Harris, VP of field engineering at Couchbase, explains how organizations must focus on application modernization to adapt their legacy systems in the AI era. He states, “The choice is evident: evolve or risk extinction. Those who can successfully modernize their applications and then embrace AI will be best positioned to thrive in this new era. Meeting and exceeding user expectations, as well as capitalizing on new opportunities, is the only way to succeed in the new AI era for organizations.”