Malte Janduda

@adamhjk Makes me wonder: is the interesting question for AI factories which domains are homogeneous enough to converge on one machine, and which aren't?

@adamhjk Kubernetes kind of proves your point from the other side: it converged because it serves one domain (web services) with homogeneous enough requirements. Firmware, desktop, real-time systems all stayed off it — different shipping cycles, different correctness models.

My experience is the opposite. At the highest rate of speed (where engineers can only really understand the outcome, but not the output) constraining the patterns is wildly helpful. For example, the difference between an entity and a value object is annoying by hand. But it’s super useful when the agent does the work - it allows you to pay less attention to the specific output, because you can rely on the shared vocabulary *and* the common implementation and structure. When it comes time to refactor, or when you need to extend the software in all the ways DDD makes easy, the actual implementation guidance is critical. The OG poster’s take is reasonable, and was largely mine for most teams before I moved to have AI be my SDLC (rather than having it *in* my SDLC, or not using it at all.) But once you move to building the machine that builds the machine, you will be very grateful for those common shapes and patterns. They unlock the suppleness that we used to find only by painstaking hand crafting.

@adamhjk On the other hand, would a more strict language like rust have advantages? The machine, that builds the machine could be restricted using typing and compiler errors when diverting from its path. And, how many machines building machines do we need? One for every domain?

@adamhjk What do you think about enterprise frameworks in that regard? Hundreds of devs have worked on the same Spring/Hibernate based monolith. There was not much freedom. Then Go/nodes came and devs jumped on it as they had much more freedom. Will AI bring us back to Spring?

@GeoffreyHuntley @badlogicgames so you mean, when the LISP for AI has been invented, you can finally think about the WHAT and not the HOW to generate? 😉

heres some rough thoughts after watching @badlogicgames great keynote yesterday everyone is generating as much as possible right now. it’ll pass. i’ve been there. too many folks rn focusing on WHAT to generate instead of HOW to generate (and by that i don’t mean by doing harness/prompt engineering tea ceremonies) slow down and rethink things. how as in what primitives you use matters lots now. it’s a long bet on my end but i deeply suspect the LISP for AI has yet to be invented and when it does it changes things.

@anuraggoel wait, this isn't sarcasm? 😧

AI is quietly deprecating GitHub. Agents do not need branches, PRs, or CI/CD rituals. They want to ship code straight to the cloud. The rsync renaissance is here. High availability. Zero bloat. Faster loops.

@treysis Hielt sich in Grenzen. Hab jetzt aber ein Ticket. Den offiziellen Marktplatz kann man als Mensch vergessen. Die Tickets sind nichtmal eine halbe Sekunde online.

@malteaero Jetzt wirst du wahrscheinlich von Scammern zugespammt!

Hat noch jemand ein #39c3 Ticket übrig, das er mir verkaufen will? Bin bei der Verkaufsrunde leider leer ausgegangen. #39c3tickets

@TheBetterKnower @keypousttchi also ich find 2x2 einfacher als 144/36

@keypousttchi Quadratzahlen sind hier komplett egal, weil die Wurzel und das Quadrat sich aufheben

Frage mich immer, warum diese Dinger so durch die Decke gehen. Irgendjemand über 40 hier, der in der Schule nicht die Quadratzahlen von 1 bis 25 auswendig lernen mußte? 🧐

@karthikponna19 Dell XPS

guess the laptop brand ?

@SafraFan @LaurenceRolles2 @bokunonicoo @SandmanXJoker @FollowEnockoyoo @zerochills it is. youtube.com/watch?v=ySt1Et…

@LaurenceRolles2 @bokunonicoo @SandmanXJoker @FollowEnockoyoo @zerochills Thats just not true at all

In the plane bathroom is wild 💀

@ijrussell @rakyll no. We have everything we need. Indeed we have much more than we need.

Unpopular opinion: There hasn't been a harder time to be a software engineer. The critical pieces in everyone's stack are put together by duct tape. In contrast, it's impossible to build minimal alternatives in-house because the world we live in is ultra complex.

@SimonNordon @staysaasy not sure. My experience is that employees of a big co fear much more for their job than employees of a startup.

@staysaasy To me it felt more like "If we don't win we're all out of a job" versus "We've got a good thing going here, let's conserve it".

still thinking about this one

Ten years ago, Chris Hadfield (@Cmdr_Hadfield) recorded this marvel which remains one of the masterpieces of music and astronautics. Entirely shot on International Space Station, he released it the day before he returned to Earth at the end of Exp. 35.

@reg_nerd @SAP Nicht nur

Läuft die @SAP-Cloud nicht auf AWS? golem.de/news/ipcei-cis…

@ChriWi07 @BankiRecht A350?

@timpritlove da kann ich mir eigentlich nur einen vorstellen: @holgi

Podcast-Opportunity.