Product updates and news from Subble
New features and product news, plus what we're learning about helping teams spend less on their software.
Latest articles
Everything else we've published, newest first.
Negative-interest tech debt
That is, with sufficient AI progress, the interest on your tech debt is sub-zero.
AI-isms go deeper than em-dashes and 'load-bearing'
What I haven't heard anybody talk about is AI's absurd insistence on imbuing quite powerless objects with agency that they don't have.
Shadow IT is not the problem
People do not go looking for unapproved tools because they want to create risk. They do it because they have a job to get done, and the approved path is too slow, too unclear, or does not exist.
AI-powered custom SaaS reports
Have a question about your software? Ask Subble in plain English and watch the magic happen.
You think unemployed, I think retired
When people bemoan mass unemployment from AI, all I hear is a lack of awareness about how bad the status quo is, and a lack of imagination for how good things could be.
Are AI agents cognitive Ozempic?
Right now, AI looks like a classic amplifier.
Escaping the Trifecta
What's crazy is that for many companies, AI is now sufficiently advanced that intelligence isn't the bottleneck: privileges are.
BYO Intelligence
But the number one way that a product can use AI to be more useful to me is not by adding AI, it's by providing me with a good API, and letting my AI handle the rest.
All I want for Christmas is 36K in Opus 4.5 credits
100 bucks a day, for 365 days a year makes $36.5K in credits.
AI Tinkerbell
We need to combine intelligence with ongoing observation.
Docker: where to draw the line?
Remember the rule: everything below the line is standardised, and the data which crosses the line becomes finicky.
It all boils down to time
It's easy to forget that heuristics are heuristics: they are not the end-goal; they're just simple, imprecise rules that we can deploy in service toward our objective.
Why Can't Programmers Agree on Anything?
The process of creating software is so complex, with so many inputs, that it's really hard to empirically test if one approach is better than another.
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