00:00:00Context, Intent, And The Problem
00:02:38Why Agreement Still Fails
00:06:09AI Speeds Building, Not Learning
00:10:08Define Success And Disproof Signals
00:12:18Three Takeaways And Closing
À PROPOS DE CET ÉPISODE
Agreeing on an idea doesn't mean you both understood the same thing. Dave Sharrock and Peter Maddison dig into why shared context breaks down in practice, and how AI makes that problem harder to ignore.
This week's takeaways:
- Intent is always imperfect. Define how you'll validate it, not just what it is.
- Ambiguity in context isn't a bug. It's necessary. Validation is how you confirm you're aligned.
- Drive down the cost of validation, not just the cost of building.
If this landed, share it with someone navigating the same tension. And reach out at feedback@definitelymaybeagile.com - we read everything.
Anglais
États-Unis
DANS CET ÉPISODE
MONTRER LES NOTES 🔗
TRANSCRIPTION 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
RECHERCHER LES ÉPISODES PASSÉS
Rechercher les épisodes précédents de Definitely, Maybe Agile.
AUTRES ÉPISODES DANS CE PODCAST
Organizational change resistance isn't dysfunction, it's a system doing exactly what it was built to do. Peter and Dave break down why structures, incentives, and leadership behavior create that resistance, and how AI is now exposing it faster than ever.
Dave and Peter dig into what they …
Organizational honesty starts with information: can your team actually see what's happening, and can they say it without fear of pushback?
Dave and Peter dig into why teams shade the truth when a deadline is on the line, and what actually creates room for honesty instead. They talk about the d…
AI can write code faster than ever, but Peter Maddison and Dave Sharrock argue that coding was never the actual bottleneck in software delivery.In this conversation about AI software delivery, Peter and Dave dig into why faster coding hasn't solved the two problems that always mattered: knowin…
AI is making it faster and cheaper to ship features. That doesn't mean you should ship more of them at once.
Peter and Dave dig into a pattern they're both starting to see: organizations using AI-assisted development as a reason to bring back big upfront planning and large project release…
Tommy Cotter is Director of Data Products at Benzinga, a financial media company building the data infrastructure that sits behind trading platforms and investment apps used by millions of people daily. He's been navigating the shift to AI-assisted workflows in a space where speed and accuracy…
Avertissement: Le podcast et les illustrations intégrés sur cette page proviennent de Peter Maddison and Dave Sharrock, qui est la propriété de son propriétaire et n'est ni affilié ni approuvé par Listen Notes, Inc.
MODIFIER
Merci de nous avoir aidé à tenir la base de données de podcasts à jour.
