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  • GenAI in Software Development: Accelerating Delivery Across the SDLC

    GenAI in Software Development: Accelerating Delivery Across the SDLC

Overview

Generative AI in software development is redefining the software development landscape, enhancing productivity, reducing costs, and streamlining collaboration throughout the Software Development Life Cycle (SDLC). This Point of View offers strategic insights for engineering leaders, enterprise architects, and delivery heads on how to embed AI in SDLC workflows to drive smarter decisions, faster releases, and optimized resource utilization.

Key Takeaways

 
AI-native Workflows

AI-native Workflows

AI in SDLC enables seamless integration across development stages to automate and accelerate delivery.

Cost-effective Coding

Cost-effective Coding

AI-generated code offers significant savings over traditional development approaches, making Generative AI in software development a viable lever for efficiency.

Tool-driven Efficiency

Tool-driven Efficiency

Platforms like GitHub Copilot and IBM Watsonx.ai enhance speed, accuracy, and scalability.

Smarter Collaboration

Smarter Collaboration

Generative AI in software development enhances decision-making and coordination across distributed teams.

Discover how Generative AI is transforming software delivery.

Download the full PoV to explore actionable strategies and tool comparisons.

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