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In my experiments with SpecKit I was always left wondering "when does it merge all this specs into a single ground truth". I never got there and it felt like a huge missing step.

Now I'm left trying to define/design what a "spec" for communication between humans and coding agents would look like, to power what Birgitta called spec anchored.


> Now I'm left trying to define/design what a "spec" for communication between humans and coding agents would look like, to power what Birgitta called spec anchored.

I feel that now with AI this is something that we have to finally do. Define how we write out a spec and record an architecture semi-formally, and in a way that is human-readable and human-manageable. And in a way that can 1) be consumed partially by an LLM context, rather than entirely (because it may be too big), and 2) have that partial ingestion be enough for it to do real work, either on the spec itself on or on the code, without deviating from the core intentions and architecture.

We tried and failed with the UML and Rational Rose type stuff, I think because it didn't record intentions well enough, was mostly pictures and not words, and seemed to be something that you would create after you finishd a project rather than fill in the details and guide you while you were building it. Hence, the whole idea fell away because it wasn't useful for anything but documentation, maintenance or refactoring; you were already selling the product before the spec became at all useful.

I'm left looking at vague leftfield ideas like https://c4model.com/.


One example of restarting a previously shuttered nuclear power plant to power a data center.

https://www.technologyreview.com/2024/09/26/1104516/three-mi...

Although the fine print is that it will be dumping power into the grid to be pulled out by various DCs vs powering them directly


There is an ongoing debate about these companies drawing direct power from private plants vs going through the grid, but I can't see why big tech won't win in the end, especially in today's environment of deregulation.


Definitely check out https://debezium.io/. I've been using to stream data out of mongo and postgres to great effect.

You can use it with kafka-connect or a standalone process.


It would be worth taking a look at https://backstage.io/

Git based dev portal, lots of interesting modules: - service discovery - swagger / avro rendering - k8s integration (urls, cost est,)

Something like the tech radar in a large org is worth the price of admission IMHO


I feel like "a hold my beer" version of this just accepts webhooks from your artifact registry and pre-pulls new versions of running images, or maybe images that node has seen in the last X hours


Authors putted themselves as time travelers

> A human study in 2089 elderly individuals looking for possible persistence of anti-gliadin antibody

⊙.


It's not the year 2089, but the number of subjects (elderly individuals) which have been tested.


I had written the wittiest of emails, clicked 'Send', and the button just went grey. No other signals. I hit refresh, ignored the warning about losing data, autosave drafts FTW right(?!).

And now I wait with my wit in my clipboard...


Yeah the customization options on JIRA kill me. I have an old joke I always reference when I join a new team

> When your team grows to 25 devs, its an almost certainty that at any point of the day, one of them is adjusting a JIRA workflow

- https://twitter.com/deedubs/status/880819973488340992


I'd like to have cli be a first class experience. Work offline. GUI for the pointy hairs.


I wonder of people who work in sales say things like “CLI for the neckbeards.”


Absolutely, I think this would be a huge improvement. The ability to easily extract plaintext data locally would be a huge help with my personal organisation and planning.


Yes, something that interacts directly with git and its associated workflow


phabricator does this pretty well


Like "git for issues"?


what's the pointy hair reference?


To elaborate, Dilbert's boss has pointy hair so it references "management".


dilbert


thanks!


I'm working on this very thing. Albeit only on AWS currently https://github.com/massivekube/massivekube

Edit: Forgot url -_-


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