The panel discuss the parts of Go they never use. Do they avoid them because of pain in the past? Were they overused? Did they always end up getting refactoring out? Is there a preferred alternative?

In a world where most documentation sucks, large language models write better than humans, and people won’t be bothered to type full sentences with actual punctuation.

Two men… against all odds… join an award-worthy podcast… hosted by a coin-operated, singing code monkey (?)… to convince the developer world they’re doing it ALL wrong.

Grab your code-generator and heat up that cold cup of coffee on your desk. Because this episode of Go Time is about to blow your docs off!

Our “what’s new in Go” correspondent Carl Johnson joins Mat & Johnny to discuss… what’s new in Go 1.20, of course! What’d you expect, an episode about Rust?! That’s preposterous…

This week we invited our friend Mat Ryer to join us for some good conversation about some Git tooling that’s been on our radar. You may know Mat from Go Time and also Grafana’s Big Tent, which we help to produce. We speculate, we discuss, we laugh, and Mat even breaks into song a few times. It’s good fun.

A quick look at the history of building web apps, followed by a discussion of htmx and how it compares to both modern and traditional ways of building.

It’s “Call For Papers” (CFP) season in Go land, so we gathered some seriously experienced conference organizers to help YOUR submission be the best ever.

Ole Bulbuk & Sandor Szücs join Natalie to discuss the ins & outs of long-term code maintenance. What does it take to maintain a codebase for a decade or more? How do you plan for that? What about inheriting a codebase for the long term? Oh, and (how) can AI help?

Tech lawyer Luis Villa returns to Go Time to school us once again on the intellectual property concerns of software creators in this crazy day we live in. This time around, we’re focusing on the implications of Large Language Models, code generation, and crazy stuff like that.

Paul Smith (from “Obama’s Trauma Team”) tells us the tale of how Go played a big role in the rescuing and rebuilding of the HealthCare.gov website. Along the way we learn what the original team did wrong, how the rescue team kept it afloat during huge traffic spikes, and what they’ve done since to rebuild it to serve the people’s needs.

Mat and the gang ring in the new year by gathering around a make believe fireplace and discussing what they’re excited about in 2023, their new years resolutions & a little bit of Go talk, too. But only a little.

Mat invites Bartłomiej Płotka, Kemal Akkoyun & Christian Simon to discuss how to make Go code more efficient through modern observability practices.

Ivan Kwiatkowski joins Natalie once again for a follow-up episode to Hacking with Go: Part 2. This time we’ll get Ivan’s perspective on the way Go’s security features are designed and used, from the user/hacker perspective. And of course we will also talk about how AI fits into all this…

That is the question. Whether ’tis nobler in the mind to suffer the slings and arrows of outrageous test coverage, or to take arms against a sea of bugs…

Nishant Roy, Engineering Manager at Pinterest Ads, joins Johnny & Jon to detail how they’ve managed to continue shipping quality software from startup through hypergrowth all the way to IPO. Prepare to learn a lot about Pinterest’s integration and deployment pipeline, observability stack, Go-based services and more.

On a previous episode of Go Time we discussed binary bloat, and how the Go protocol buffer implementation is a big offender. In this episode we dive into the history of protocol buffers and gRPC, then we discuss how the protocol and the implementation can vary and lead to things like binary bloat.

Natalie & Ian welcome Liran Haimovitch & Tiago Queiroz to the show for a discussion focused on debugging Go programs. They cover good & bad debugging practices, the difficulty of debugging in the cloud, the value of errors logs & metrics, the practice of debugging in production (or not) & much more!

Today we’re talking about uses for Go in the medical industry. Tim Stiles develops and maintains a Go package for synthetic biology and molecular biology called Poly. It has broad applications for biotech R&D, but also has very direct applications to medicine.

Mat Ryer gathers a gang of ghouls and ghosts to tell spooky developer stories! Join us to hear tales of Mat’s $1k nightmare, Dee’s infinite loop of horror, Natalie’s haunted time as a junior dev & many, many more.

In this episode, we’re joined by tech Lawyer Luis Villa to explore the question, who owns code? The company, the engineer, the team? What about when you’re using AI, Machine learning, GitHub Copilot… is that still your code?

We’re once again exploring hacking in Go from the eyes of security researchers. This time, Natalie & Ian are joined by Ivan Kwiatkowski (a.k.a. Justice Rage)!

Join Mat Ryer on his journey to Berlin for GopherCon EU 2022. Along the way he chats with Egon Elbre, Ale Kennedy, Ole Bulbuk, Christian Haas, Bill Kennedy & Ron Evans. Danke!

We did an episode on functional programming in Go with Aaron Schlesinger back in 2019… But that was before generics were a thing. Let’s revisit the topic and discuss the pros and cons now that we have generics. What’s changed? What hasn’t?

In this episode, we will be exploring interviewing as a Software Engineer. Tips, tricks, and gotchas, as well as potentially some interviewing horror stories and red flags to avoid at all costs. We’re joined by Emma Draper, Engineering Manager at the New York Times based in Arizona, and Kate Jonas, goes by Jonas, Technical Enablement Manager at Datadog based in Denver.

Inbal Cohen, Product expert and Agile evangelist, joins Natalie & Angelica for a conversation about all things Agile. Inbal lays out some agile tips for Go devs, discusses if and how remote work changes things, describes some downsides of the methodology, and more.

Egon Elbre and Roger Peppe join Mat for a conversation all about bloat (and how to avoid it). Expect talk of code bloat, binary bloat, feature bloat, and an even-more-bloated-than-usual unpopular opinion segment.