Agile Data N’ Info

AgileDataGuides

Join the Agile Data N' Info Podcast where we discuss how data and analytics teams can apply agile, product, AI and data patterns to change their Way of Work.

  1. Aug 5

    Listen now | Recording of AURA - Tim Frazer & Shane Gibson on 5th August 2026

    Raw and unedited Top 3 things: Architecture and tests matter more than code generation. AI can build quickly, but sustainable work depends on clear outcomes, strong test coverage, and system-level judgment. AI makes feature creep and context-switching easier. Both of you saw overbuilding, parallel sessions, and longer test cycles creating new delivery problems—so thin slices and simplicity still matter. “Company brain” will be valuable only with usable context and privacy. Shared definitions, selective/high-quality source material, automated capture, and careful privacy boundaries are more important than simply dumping documents into an LLM. https://agiledata.info/p/watch-now-recording-of-aura-tim-frazer-0d1?utm_source=youtube     Listen to more podcasts on applying Agile Data patterns over at https://podcast.agiledata.io/ Read more on the Agile Data Way of Working over at https://AgileDataGuides.com/   If you just want to talk about making magic happen with agile and data you can connect with Shane @shagility on LinkedIn.   Subscribe: Apple Podcast | Spotify | Google Podcast  | Amazon Audible | TuneIn | iHeartRadio | PlayerFM | Listen Notes | Podchaser |  Deezer | Podcast Addict |    Information Product Canvas Workshop “That’s not what I wanted.” “But that’s what you asked for.” Shane runs a one-day workshop on the Information Product Canvas, a repeatable way to gather data requirements in 30 minutes. The approach he actually uses with his stakeholders, not a textbook version that falls apart on contact with messy data and vague stakeholder requirements. Latest dates: Gather data requirements in 30 minutes using a shared language.   Simply Magical Data Ways of Working

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Join the Agile Data N' Info Podcast where we discuss how data and analytics teams can apply agile, product, AI and data patterns to change their Way of Work.

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