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Gen AI empowering software developers

Thriving with innovation

Software engineers are in the early innings of massive disruption from generative AI and must contend with rapid innovation, tighter budgets, and a talent shortage. This pressure makes burnout a significant risk.

Creating a superior developer experience

A positive developer experience requires an environment where developers can do their best with minimum friction and maximum flow. It means seamless interaction with tools and platforms, which Gen AI enhances throughout the Software Development Life Cycle (SDLC) to drive vital outcomes – improved software quality, faster time to market, predictable release cycles, and talent retention.

Impact of Gen AI on software developers

Our report on Gen AI in software engineering found that Gen AI has an overwhelmingly positive impact on developers. Overall, 69% of senior software professionals report high satisfaction just by using Gen AI for software development, and 78% are optimistic about Gen AI’s potential to enhance collaboration between business and technology teams.

Gen AI empowers developers in three ways:

  • Time-saving: As per our report, Gen AI speeds up software development across the SDLC, improving productivity by 7-18%.
  • Developer thriving: Investing in developer experience minimizes distractions, keeping the team in a productive “flow state.” This boosts productivity and accelerates business goals. Improved communication and streamlined workflows contribute to higher job satisfaction and greater retention.
  • Value: Gen AI boosts productivity by freeing time for creativity and innovation, allowing developers to focus on high-value, strategic tasks that drive the next wave of innovation.

In all, 61% of software developers see Gen AI as enabling innovative work, such as developing new features and services. Generative AI helps retain talent, reduce time-to-market, and avoid unplanned work disruptions. By automating routine tasks, Gen AI allows developers to focus on higher-value activities, fostering creativity and innovation.

Gen AI creates thriving talent ecosystems

Attracting and retaining the best developers is essential for leading the next wave of technological advancements. By embracing Gen AI technologies, companies can create a more dynamic and agile development environment, positioning themselves at the forefront of industry innovation.

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      Meet our experts

      Sunita Tiwary

      Senior Director– Global Tech & Digital
      Sunita Tiwary is the GenAI Priority leader at Capgemini for Tech & Digital Industry. A thought leader who comes with a strategic perspective to Gen AI and Industry knowledge. She comes with close to 20 years of diverse experience across strategic partnership, business development, presales, and delivery. In her previous role in Microsoft, she was leading one of the strategic partnerships and co-creating solutions to accelerate market growth in the India SMB segment. She is an engineer with technical certifications across Data & AI, Cloud & CRM. In addition, she has a strong commitment to promoting Diversity and Inclusion and championed key initiatives during her tenure at Microsoft.

      Jiani Zhang

      Executive Vice President, Chief Software Officer, Capgemini Engineering
      Jiani Zhang is Executive Vice President and Chief Software Officer of Capgemini Engineering, the Engineering and R&D Services powerhouse of Capgemini. Jiani is responsible for the leadership and growth of Capgemini’s Global Software Product Engineering Growth Platform, accelerating client outcomes by building embedded, digital, and industry software platforms.

      Brett Bonthron

      Executive Vice President and Global High-tech Industry Leader
      Brett has over 35 years of experience in high-tech, across technical systems design, management consulting, start-ups, and leadership roles in software. He has managed many waves of technology disruption from client-server computing to re-engineering, and web 1.0 and 2.0 through to SaaS and the cloud. He is currently focusing on defining sectors such as software, computer hardware, hyper-scalers/platforms, and semiconductors. He has been an Adjunct Faculty member at the University of San Francisco for 18 years teaching Entrepreneurship at Master’s level and is an avid basketball coach.