AI coding assistants are gaining widespread adoption, yet their potential extends far beyond writing and debugging code. Assistance for software delivery tasks, such as analysis, architecture, and collaboration, remains less explored but holds tremendous promise for transforming how teams work together.

This session delves into the current possibilities for AI to enhance software teams as a whole, focusing on how AI can amplify knowledge sharing, streamline workflows, and improve team collaboration. We’ll explore:

• Practical applications of AI for non-coding tasks, such as requirements analysis, documentation generation, and architectural decision-making.
• Pitfalls to avoid when integrating AI into team workflows, including potential biases and over-reliance on automation.
• The state of current tooling and how it can be effectively utilized.

Attendees will gain a clearer understanding of the potential for AI to assist in team-wide activities and practical insights into what’s needed to integrate AI as a valuable, productive team member.

Key Takeaways:

• How AI can improve knowledge sharing and collaboration within teams.
• Realistic expectations for AI in software delivery beyond coding.
• Best practices for preparing a team to embrace AI tools effectively.

Target Audience: This session is designed for Team Leads, Engineering Managers, Product Owners, and Software Architects interested in leveraging AI to enhance team productivity and collaboration. Developers and AI Enthusiasts curious about non-coding AI applications will also find this talk highly valuable.