You’re asking the wrong questions. No one who has and idea what they’re doing has AI wholesale write new features of add new code in an unsupervised way.
I agree and was going to comment something similar: Like entropy, design systems are getting ever more complicated. This virtue of having infinitely updatable design systems is a bit lost. For most people this is an exercise that’s done extremely rarely, is difficult to advocate for because the ROI is perceived to be low, and there’s tons of stakeholders you have to align due to the risk to the brand.
Front end engineers love to opine over amazingly flexible design systems, though.
This is fair, I've also seen design systems grow in complexity. Sometimes for good reasons, but also because "design systems professionals will... systematize".
That said, it's not just about "updatability" of systems, it's in great part about scaling a design language across multiple surfaces, products, modes, locales, and sometimes even multiple brands.
The orthogonal complexity of design decisions can be pretty high, and does requires powerful interoperable tooling to handle. Hence the need for this methodology and a spec.
Yes, and also design changes never seem to align precisely with the parameters you anticipated at the beginning. I.e., you don’t just need to update one color variable, you need to update that color AND add a secondary accent color AND change the positioning of the logo with respect to the company name, etc.
The functionality is a small screen with a timer and a few API calls to set the timer for you sometimes. $189 for a timer is not a lot of functionality for more than 1% of the annual salary of a minimum wage worker. You can get a full android phone for that much which has 10000x the functionality.
Super interesting you guys have been working on this since 2020 if I'm reading the post title correctly? Would love to know the iterations you've gone through.
It would be hard to count. Basically every customer we had on Release 1.0 was an iteration towards this. If you go to https://release.com it's there and we have many happy customers using it. There are definitely challenges with that business, however, that made us look for easier ways to get people using the platform we had built. People looking to do ephemeral environments have a lift to move their environment definitions into Release and it's a work effort that needs prioritization. Release.ai is built on the same platform and because AI frameworks are more turn key than bespoke software stacks companies have been building on, we believe Release.ai will be easier to adopt. In the long run AI applications and traditional web applications are going to merge and we think we're the platform that will do that in the long run. Long story short, hundreds of iterations.
The rest are good though.
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