The message is everywhere: LLMs are here to make us 10x more productive and change software development forever. Venture capitalists are pouring billions into the vision, and big tech companies are pushing hard for us to adopt the tools. But as a software engineer who’s seen the demos and lived the reality, something feels profoundly wrong.

This week, I’m taking a step back to reflect on the current state of our industry. We'll explore the inconvenient truth that often gets lost in the hype: that relying on AI can sometimes make us slower, introduce more technical debt, and even erode the fundamental skills that make us valuable.

But maybe the real problem isn't the technology itself. Maybe it's that we're looking for a quick fix for a deeper issue. Join me as we discuss what really drives developer productivity, the crucial importance of domain knowledge, and whether anyone is even considering the quality of life for the people building our systems.

Because while the "going from 0 to 1" demo is impressive, our jobs are about maintaining complex systems from 1 to 1000. And maybe, just maybe, an agentic flow that doesn't care about our codebase isn't the real solution we need.

p.s. And yes, I used LLM to improve my description draft ;)

Let's talk with a friend of the pod, John Arundel. We talk about state of thing a little regarding Go's maturity, a bit of AI, I personally am a bit fatigue of the noise and "agent". The podcast is returning slowly. , John has written a new Go book that's beginner-friendly, but goes deeper than you'd expect, he produce excellent learning and training resources.

Links:

• The Deeper Love of Go
  • John's newsletter

Go is used by multiple programmers and software engineers. Lots of path can lead to want to try Go, and this week I talk with Yann whom eventually found Go and talks about his experiences writing internal tools at his company.

Links:

• Hupload
  • YBFeed

The part 2 of my talk with Ivan Fetch. We cover the remaining listener questions and go over some aspects in more details of being blind in tech.

This week I'm joined by Ivan Fetch. We talk about challenges and day-to-day life as tech professionals being blind, using a screen reader. This is the part one as we've a lot to cover. Since I started this pod after telling guests I'm blind and use a screen reader everyone wants to know more, so I thought doing an episode would be interesting to people wanting to know more.

The best way to support the show is by talking about it and sharing the episodes. If you can you can buy my courses which help keeping the lights on for the efforts invested to bring the pod, there's a 50% off discount for listeners of this show: Build a SaaS app in Go and Build a Google Analytics in Go.

This week I'm joined by Tristan Mayo, the creator of Zog, a Go library that helps with validation when receiving data from an HTTP POST or parsing data.

Links:

• Zog on GitHub

This week I talk with Delaney Gillilan, the creator of Datastar, a framework that helps building web applications with the reactivity of a single page app but with the programming model of a good old server-rendered page from the backend. Datastar combines the power of HTMX and Alpine.js in a simple and lightweight way.

Links:

• Datastar website

The best way to support the show at this time is by talking about the pod and if you can, purchase my courses, which are at 50% discount for listeners of the show: Build SaaS apps in Go and Build a Google Analytics in Go.

Markus is back to talk about Gomponent. I've used the library in production and wanted to tell the story of my experience converting my html/template to Gomponent and get his thoughts and reactions. This is more of a real-world episode than anything else, a real story of real usage of Gomponent.

Links:

• Gomponent

As always the best way to help is by sharing and talking about the show. If you can you may contribute by purchasing my courses, this helps with all the efforts and costs of running a podcast, courses are at 50% off: Build SaaS apps in Go and Build a Google Analytics in Go.