GenAI Won't Replace Your Continuous Delivery Pipeline—It Will Stress It
Ready to harness the power of GenAI without disrupting your software delivery? This whitepaper provides actionable strategies for managing the complexities GenAI introduces. Learn how to ensure reliable testing, maintain human oversight of AI code, optimize your continuous delivery pipelines, and implement robust security practices.

What this paper covers
Generative AI is transforming software engineering, offering rapid innovation but also introducing an array of new challenges. This whitepaper explains GenAI’s already massive impact on software delivery and then provides a roadmap for how software organizations can reap the rewards while minimizing the risks.
Learn why GenAI faces challenges in generating reliable code, and explore the necessity of robust validation and testing.

Even with the most recent advancements in GenAI, thorough testing remains crucial for validating software behavior. Learn about the role of automated tests in defining "correct" behavior.

Explore the integration of human and AI-driven approaches and the importance of continuous delivery practices.

Understand why DORA metrics and continuous delivery practices are essential for maintaining control, quality, and speed.

Ensure traceability and compliance of AI-generated artifacts with detailed artifact provenance and multi-stage quality gates.


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Solutions for AI-driven development
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