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Council Post: Gen AI in Software Development; Optimizing the Development and Testing Phase

Embracing GenAI with a clear understanding of its capabilities and limitations will be crucial for the future of software development, paving the way for innovative, inclusive, and high-quality software products.
The integration of GenAI into the software development and testing phases represents a significant technological advancement, offering both opportunities and challenges. By enhancing efficiency, quality, and accessibility, GenAI has the potential to reshape the software development landscape. However, to fully harness its benefits while mitigating associated risks, a careful and balanced approach is required. Embracing GenAI with a clear understanding of its capabilities and limitations will be crucial for the future of software development, paving the way for innovative, inclusive, and high-quality software products. Development Phase with GenAI The adoption of GenAI in the development phase is transforming traditional coding practices. GenAI models serve as advanced assistants that
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Picture of Anirban Nandi
Anirban Nandi
With close to 15 years of professional experience, Anirban specialises in Data Sciences, Business Analytics, and Data Engineering, spanning various verticals of online and offline Retail and building analytics teams from the ground up. Following his Masters from JNU in Economics, Anirban started his career at Target and spent more than eight years developing in-house products like Customer Personalisation, Recommendation Systems, and Search Engine Classifiers. Post Target, Anirban became one of the founding members at Data Labs (Landmark Group) and spent more than 4.5 years building the onshore and offshore team of ~100 members working on Assortment, Inventory, Pricing, Marketing, eCommerce and Customer analytics solutions.
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