AI Startup Stack
aistartupstack.bsky.social
AI Startup Stack
@aistartupstack.bsky.social
0 followers 1 following 13 posts
Figuring out how to build a real AI business is hard. We're open-sourcing our learnings on everything from defensible moats to surviving the API bill. This is the stuff we wish we had when we started. Follow & Build with us!
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Reposted by AI Startup Stack
Bluesky @bsky.app · Aug 22
Unfortunately, Bluesky is unavailable in Mississippi right now, due to a new state law that requires age verification for all users.

While intended for child safety, we think this law poses broader challenges & creates significant barriers that limit free speech & harm smaller platforms like ours.
6/6
Apply strict judgment to novel or complex problems;
this is where human intuition remains critical.

The question isn't "is this technology good?" but "for which specific problems is it the right tool?"
5/6
For founders and technical leaders, the implication is clear:

a blanket mandate to use AI is a mistake.
The strategic approach is to disaggregate your work.

Identify the routine tasks—the scaffolding and repetition—and deploy AI there rigorously.
4/6
It struggles profoundly in niches:
legacy systems, embedded programming, complex infrastructure.

In these spaces, its tendency to hallucinate APIs and create subtle bugs introduces significant technical debt.

It's an untrained junior dev, confident and wrong.
3/6
AI excels in domains with abundant, high-quality training data—primarily popular web frameworks in Python and JavaScript.

Here, it acts as a powerful accelerator, handling boilerplate and well-trodden patterns.
2/6
We looked at hundreds of comments and articles on the topic.

The sentiment splits sharply into two camps: those for whom it's a transformative lever and those for whom it's an active impediment.

Both are correct. The determining factor isn't skill, but domain.
The most interesting debate in software right now isn't about whether AI is good or bad at coding.

It's about the stark disparity in developer experiences.
(4/4)
It’s the ultimate irony: in our quest to build a machine that thinks, we're spending more of our own time thinking for it. So who’s really the assistant here? #AiStartupStack #AI #Coding
(3/4)
The most telling part? The best AGENTS.md files are also the best CONTRIBUTING.md files. We're finally writing the docs we always should have, not for ourselves, but for our silicon overlords.
(2/4)
We're adapting our workflows, our communication, and our repositories to cater to the machine's limitations. We're the ones learning to speak its language, not the other way around. The promise was an assistant; the reality feels more like a new, demanding boss.
(1/4)
Is AGENTS.md a guide for our AI assistants, or a training manual for us? We were promised AI that would adapt to us, but now we're writing special instructions for them. So are we really building powerful tools, or just becoming better servants to the machine?
Agent.md - The Manual for Our Robot Overwriters: Why Are We Coding for the Machines Now?
We're adapting our workflows, our communication, and our repositories to cater to the machine's limitations. We're the ones learning to speak its language, not the other way around. The promise was an assistant; the reality feels more like a new, demanding boss.
Is AGENTS.md a guide for our AI assistants, or a training manual for us? We were promised AI that would adapt to us, but now we're writing special instructions for them. So are we really building powerful tools, or just becoming better servants to the machine?