Agent capabilities are improving incredibly fast, but there s still a big gap between the agent can do this and I m comfortable letting it do this completely unsupervised.
For me, anything involving production infrastructure, credentials, modifying or deleting data, deployments, or actions with external consequences still feels like it needs some kind of oversight.
Curious where others draw the line. What tasks do you still keep a human in the loop for, and what would need to change for you to trust an agent with them autonomously?
From 1 October, leaving Apple In-App Purchase drops a Small Business Program developer from 15% to 10% in the EU. On a 4.99 euro subscription, a processor's fixed per-transaction fee can eat most of that on its own - and your choice locks for 12 months.
Apple updated the Developer Program License Agreement on 18 August, and the new EU business terms go into effect on 1 October. The coverage I've read frames it as Apple finally opening up. That's true in a structural sense and mostly irrelevant to anyone running a small subscription app, because the interesting question isn't whether you can leave Apple's payment system. It's whether the arithmetic works. For most of us it doesn't, and it's worth being able to say why rather than just having a feeling about it.
I'd like to share an opinion on the current situation in AI ops, not the coding/tech side.
Right now the market has a pretty clear pattern. Big labs like OpenAI, Anthropic and xAI are building their own desktop AI and computer-use apps. The trick is they still treat this segment as Growth. Maturity is far away. So the biggest players burn money acquiring customers and giving them huge subsidies on tokens vs real cost.
Today the world is getting a huge AI bill, mostly paid by investors. We're running on debt. If there is no real breakthrough, math doesn't lie, there will have to be a cost-effective compromise. Using heavy models for coding is justified. Using them for the simplest things in operations is not, economically.
