Drunk Agile

Dan Vacanti & Prateek Singh

Dan Vacanti and Prateek Singh drink whisk(e)y and discuss various facets of agile software development. From scotch to bourbon and from metrics to human behaviour, we cover it all.

116 Episoder

Episode 119 - Going 10x with AI
21.9.2026
16:32
Are you looking to go 10x with AI? 10x what though?
Episode 118 - AI and Flow
11.9.2026
16:01
AI is changing things quickly, but does it change anything for Flow Metrics and Kanban? Dan and Prateek discuss. Drunk Agile is presented by ActionableAgile™ Consulting: https://consulting.actionableagile.com
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Episode 116 - Backtesting Monte Carlo
4.3.2026
32:22
Episode 116 - Backtesting Monte Carlo by Dan Vacanti & Prateek Singh
Episode 115 -Top Three Books
4.3.2026
20:05
Episode 115 -Top Three Books by Dan Vacanti & Prateek Singh
Episode 114 -Scrum and Classes of Service
4.3.2026
19:36
Episode 114 -Scrum and Classes of Service by Dan Vacanti & Prateek Singh
Episode 113 -Because Math Markov Chains For Single items
4.3.2026
11:40
Episode 113 -Because Math Markov Chains For Single items by Dan Vacanti & Prateek Singh
Episode 112 - Forecasting with Dependencies
4.3.2026
16:56
Episode 112 - Forecasting with Dependencies by Dan Vacanti & Prateek Singh
Episode 111 - Dependencies at Scale
4.3.2026
25:11
Episode 111 - Dependencies at Scale by Dan Vacanti & Prateek Singh
Episode 110 - How (Not) To Show Aging
4.3.2026
27:06
Episode 110 - How (Not) To Show Aging by Dan Vacanti & Prateek Singh
Episode 109 - All Models Are Wrong But Some Are Random
4.3.2026
25:12
Episode 109 - All Models Are Wrong But Some Are Random by Dan Vacanti & Prateek Singh

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Drunk Agile

Dan Vacanti & Prateek Singh

116 Episoder

Episode 119 - Going 10x with AI

Episode 118 - AI and Flow

Episode 116 - Backtesting Monte Carlo

Episode 115 -Top Three Books

Episode 114 -Scrum and Classes of Service

Episode 113 -Because Math Markov Chains For Single items

Episode 112 - Forecasting with Dependencies

Episode 111 - Dependencies at Scale

Episode 110 - How (Not) To Show Aging

Episode 109 - All Models Are Wrong But Some Are Random