Engineering with AI

About Engineering with AI

"Engineering with AI" is a conversation with tech leaders about what their teams are doing, what coding tools they're adopting and how- in tiny startups, in bigger teams, and in large enterprises on their digital journey, and in digital native scale-ups. We're focusing on how things are different now; what "best practices" and cultural touchstones are holding up well, and which ones are changing. How do we staff teams differently now? How do we mentor? What processes are missing; which are feeling less worthwhile?

Publisher

Kyle Hodgson

Category

technology

Language

en

Explicit

No

First episode

23 Nov 2025

Latest episode

5 Oct 2026

Latest episodes

22 episodes in the feed.

1. 

   5 Oct 2026

   Pete Hodgson uses AI governance to empower innovation?

   In this episode, Pete Hodgson discusses the evolving landscape of AI-assisted engineering, the importance of governance in AI workflows, and how organizations can empower grassroots innovation while maintaining control. He shares insights from his role at Tribe and explores the future of agentic workflows and token economics.

2. 

   19 Sept 2026

   Hari Krishnan is improving AI's skills with intent

   Hari Krishnan is back to talk about advancements in spec driven development, about advancements in open weights models, and about the book he's writing for Manning. You can get the book for 50% off (and possibly save even more this week?) with the Manning Early Access program here: https://www.manning.com/books/spec-driven-development (https://www.manning.com/books/spec-driven-development) You get access to the first three chapters, and the full book once its ready.

3. 

   14 Sept 2026

   Asoba's Shingai Samudzi is using world models combined with LLMs to make solar more profitable

   Asoba’s CEO Shingai Samudzi is no stranger to ML, as a data scientist he’s put it to use throughout his career. Now, as Asoba looks to accelerate solar energy in South Africa, he’s assembling a new approach; combining a per inverter JEPA world model with Nahenda (https://huggingface.co/asoba), a model they’ve developed based on Qwen fine-tuned specifically for epistemic behaviour. Though this would be cool enough as an experiment, the early results are promising. On recent runs analyzing actual solar inverter data, they more accurately spotted problems (and ignored false positives) with equipment. In solar power, this improves margin, and can make or break a solar plant. https://huggingface.co/asoba (https://huggingface.co/asoba) More of Shingai’s research (https://asoba.co/research.html) More on SEP, Specification enhancement proposals (https://modelcontextprotocol.io/community/sep-guidelines#sep-format)

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Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

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