I asked Delaney Gillilan to return to go podcast() to revisit datastar, a very impressive tool that enable backend to push changes to the frontend of a web application. In episode 54 we covered the "what is datastar", in this episode I wanted to dive a little deeper since I personally finally started to jump and use the library in projects. I have been a dedicated user of HTMX and Alpine for a long time already and once I tried datastar I found myself capable of great interactions between the frontend and backend and mostly keep the state that made sense in the backend. It's hard to explain, you'd have to test it to realize it's true power.

Links:

• Datastar website

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This week I try to keep an open mind and we talk LLMs and AI with Markus Wüstenberg. Markus is a friend of the show and I noticed he was using a lot of LLM lately, I basically learn a lot by doing these podcast interviews, so I was interested to hear about what Markus is using LLM and AI in the systems he ships and also how does he uses AI as a software engineer in the day-to-day.

Personally my experience so far is very mixed, sometimes it's good other it's pretty frustrating with LLMs either integrating functionalities augmented by LLMs or trying to integrate a coding agent in my day-to-day, let's just say that I'm not there yet. But I wanted to hear about someone that do have real production experiences using these things, and Markus gives a solid fundation to demistified some aspects, at least for me ;).

Links:

• gomponents + Datastar:
• Markus's Claude Code skills
• Markus's own LLM abstraction layer in Go called GAI
• Andy Masley on AI and the environment
• Charm's AI library in Go
• Markus's website

As always if you're finding value in the pod talk about it, you may also purchase my courses, I launched Zero to Gopher 3 weeks ago, there's 50% off for listeners of the show.

Jon helped a lot of teams improve their software engineer processes. We talk about the importance of testing, having sane Ci and CD pipeline, pairing and a lot of other extreme programing concepts.

Links:

• Tuple pair programming guide:
• The Mob Tool
• Pop — Screen sharing for remote teams

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