Waydev AI, an AI-native conversational platform designed to transform how engineering leaders measure performance and understand AI’s impact on delivery.
super cool! Now this is a team that ships!! Congrats on the launch. We're glad Magic Patterns played a small role but what you have built is impressive!
@alex_circei This is very useful! We need better ways to understand how cursor, lovable and others are performing and the first step is good analytics. A needed tool in every code gen stack.
Waydev AI is a smart evolution for engineering leadership, shifting from static dashboards to natural-language insights is exactly the leap many managers are craving. I love how you can ask real questions (“How has AI impacted our cycle time?”) and get data-driven explanations instead of wrestling with charts. To push it further, consider adding scenario planning simulations (e.g. “what if we reduce bug rate by 20% how would velocity shift?”) and anomaly alerts with root cause hints (so when a metric dips, the tool surfaces likely causes automatically). Congrats on the launch! looking forward to seeing how it evolves!
Replies
It Works On My Computer Podcast
Congrats @alex_circei ! Looks very nice!
Waydev
@alin_dobra Thanks, Alin!
Audos.com
Nice work!
Waydev
Magic Patterns
super cool! Now this is a team that ships!! Congrats on the launch. We're glad Magic Patterns played a small role but what you have built is impressive!
A must need for large engineering orgs!
Waydev
@alex_circei This is very useful! We need better ways to understand how cursor, lovable and others are performing and the first step is good analytics. A needed tool in every code gen stack.
thanks @garrytan
Waydev
@garrytan @gabriel_p1 Thanks Gabriel!
Waydev AI is a smart evolution for engineering leadership, shifting from static dashboards to natural-language insights is exactly the leap many managers are craving. I love how you can ask real questions (“How has AI impacted our cycle time?”) and get data-driven explanations instead of wrestling with charts. To push it further, consider adding scenario planning simulations (e.g. “what if we reduce bug rate by 20% how would velocity shift?”) and anomaly alerts with root cause hints (so when a metric dips, the tool surfaces likely causes automatically). Congrats on the launch! looking forward to seeing how it evolves!