Jira is the one product I feel needs to be AI native.
AI native in the sense that it papers over the pain points.
New JIRA admin? AI will set it up to do what you want (after all, Atlassian has a great training set as they can see which Cloud installs work well)
Need to set up a workflow? Bam, AI to do that.
Need to onboard a user or manage permissions? Again, have a chatbot to do it (as a time-to-time Jira standin Admin, changing permissions always needs doing in 2+ places and devolves into a "Can you see this yet?" round of questions)
Definitely, that's the issue with legacy tools and just plugging AI agents on top of existing API capabilities that were designed for human in the first place.
Retrofitting agent-safety onto APIs that predate agents is harder than it looks (guardrails, permissions scopes etc.)
Disclosure: I'm CTO of an ITSM product in this space (Siit), so I think about this a lot.
What's led to the higher prices than Germany? Usually substantially lower earnings would mean lower prices, even if not substantially lower (look at the UK, higher prices than much (all?) of Europe, average earnings slightly less).
Smaller market, I think. While Polish manufacturers have no incentive to keep price low for the local market as they can just sell to the West at EU common market price.
> Extremely debatable. They still have never fully implemented health checks and auto healing.
Agree.
Plus there's the monitoring of the host that is always overlooked in articles. I've ended up chucking Monit on there to monitor disk usage et al, and also used it for monitoring compose too and restarting containers.
And then there's Healthchecks.io, and external uptime monitoring... the list goes on. Properly monitoring systems, even single server systems, is not simple.
Developer of 20+ years here, can't give you an accurate multiplier but I am faster.
Because spotting holes in specs has never been one of my strengths. And working without technical colleagues much of the time, it's a boon to be able to "rubber-duck" my ideas with something that is at least more intelligent than plastic.
Grabbing multipliers from thin air, the coding bit may only be 2x faster with a poorer-quality outcome, but working out what's needed is a good 5x faster.
And yes, I'm using the same adversarial AI MO as @wood_spirit, combined with Matt Pocock's excellent /grill-me and /grill-with-docs skills [1] and Plannotator [2] to review the plans.
I actually use LLMs a lot to rubber duck my problems and help develop plans. Then I manually code, to ensure my skills don't deteriorate. I feel like I'm a lot faster, with few of the downsides. Do you have any thoughts on this process?
If you can type code fast and accurately, it sounds a great process to use. You're using LLMs for the bit where they bring great value, and yourself as a higher quality coding agent :)
So that's what it is. Reading its README I thought it was another harness like Pi [1], but with built-in memory so it remembers what it learns, and gets more capable the longer it runs.
Like Letta [2], Dirac [3][4] and the other "more experimental harnesses that look interesting but I haven't had time to try out".
What's the privacy/data security like? I can't find that on that page.
Edit: found it.
> We may use your Content to operate, maintain, improve, and develop the Services, to comply with legal obligations, to enforce our policies, and to ensure security. You may opt out of allowing your Content to be used for model improvement and research purposes by contacting us at membership@moonshot.ai. We will honor your choice in accordance with applicable law.
Yup, they train on your inputs and OpenRouter is complicit by claiming that Moonshot's ToS says that they don't. Contacted OpenRouter about this a while ago and was met with silence because it's bad for their business to stop lying about it.
> Stripe APIs being simple and easy is a meme from the 2010s. It isn't anymore.
I'm working with Stripe subscriptions at the moment for a charity taking donations via their website. The subtle differences between subscriptions done through Stripe checkout and subscriptions set up yourself using Stripe elements are by turn infuriating and frustrating.
The documentation is geared towards people using checkout. Stripe's own AI help could find us a bit of information which going through the documentation didn't give us, and it even struggled to find the reference in the docs for it.
One product, two different ways to use it, and slightly diverging feature sets between the two. Argh!
Or more cynically they reach their level of competence, go one level further and stay there to keep them from ruining the productivity of the people doing the work...
AI native in the sense that it papers over the pain points.
New JIRA admin? AI will set it up to do what you want (after all, Atlassian has a great training set as they can see which Cloud installs work well)
Need to set up a workflow? Bam, AI to do that.
Need to onboard a user or manage permissions? Again, have a chatbot to do it (as a time-to-time Jira standin Admin, changing permissions always needs doing in 2+ places and devolves into a "Can you see this yet?" round of questions)
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