The biggest frustration of software engineers is now the most critical bottleneck in AI-assisted and agentic development. AI coding tools build directly from bad requirements, ambiguity, and all, and it results in more rework.
Jeff Keyes, Field CTO and Product Leader, and Jim Grundner, VP of Software Engineering, at Allstacks, will share personal examples of the impact of AI coding, bad requirements, and what you can do to fix it.
What You'll Learn
- Why bad requirements are the biggest bottleneck in development, and how to improve them
- What a new quality lens for requirements looks like as AI codes and humans shift to design and validation
- How early-adopting engineering teams are structuring their approach to requirements quality
- What an automated requirements evaluation on real Jira data looks like, from scoring to gap detection to ready-to-push fixes