Live session on December 14, 2026
11:00 a.m. EST1 hour
Develop the technical, leadership and communication skills needed to move from doing agile to being agile
Apply agile engineering practices that help teams maximize the value of AI-augmented software delivery
Strengthen collaboration, continuous learning and customer focus to improve business outcomes
Software development is a creative discipline that often operates amid tight deadlines, shifting priorities and evolving requirements. Success requires more than adopting agile ceremonies and frameworks. It demands an agile mindset grounded in collaboration, adaptability, continuous improvement and customer value. The most effective practitioners continuously expand their skills, champion agile principles and refine their craft through ongoing learning and growth.
AI is a powerful force multiplier, but its impact depends on the engineering practices that support it. Organizations that emphasize modular design, iterative delivery, automated testing and disciplined DevOps practices are best positioned to realize AI-driven productivity gains. Without these foundations, AI can simply accelerate existing inefficiencies. Gain practical guidance for building teams that maximize the value of AI-augmented software delivery while continuing to grow their technical and leadership capabilities.
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