From Prompt to Production: The Evolution of AI-Assisted Software Development

This content explores the shifting paradigm in software engineering where AI agents handle execution, making human focus critical on planning, architecture, and verification. It details how modern workflows must integrate coordination, validation, and trust-building to move efficiently from idea to production.

- Planning and Intent: Defining success criteria before coding begins, considering data availability and budget constraints.
- Execution Coordination: Managing complex dependencies across repositories, tests, and infrastructure using agentic systems.
- Validation and Trust: Addressing the bottleneck of verifying large-scale changes through evidence-based testing and impact analysis.
- Developer Skill Shift: Emphasizing engineering judgment, governance, and architectural decision-making over simple code generation.

Viewers will gain a framework for integrating AI into development pipelines while maintaining confidence in outcomes and system integrity.