{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/66f98e27acfe1ec5ec171ee2/69e08c1f2fdc372bd1bbb2c2?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Understanding Technical Debt: Andrew Brown on AI and Decision‑Making","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/66f98e27acfe1ec5ec171ee2/1776323557755-1000df33-7a4e-4b20-9044-689bdf41b077.jpeg?height=200","description":"<p>In this episode of the EuroSTAR Community Podcast, Andrew Brown reflects on his journey as a long‑time EuroSTAR contributor and the motivation behind his recent book on technical debt. He reframes technical debt as a social and decision‑making problem rather than a purely technical one, sharing insights on how trade‑offs, pressure, and limited understanding shape long‑term software quality. The conversation also explores AI’s growing role in testing, Andrew’s skepticism around AI‑driven shortcuts, and his current work using simulation models to train teams in making better software development decisions.</p>","author_name":"EuroSTAR Conferences"}