I’ve said this for years: Use the VC-funded monthly quota AI to build tools and applications for yourself or small groups. Don’t use a cloud AI itself as the engine of your application.

Even if AI goes away tomorrow, the tools will still exist.

▲

testtestmetest 4 hours ago | parent | next [-]

No they wwont, they'll never be maintained. Theyll decay with their vibes. People who vibe code whole swaths of software are'nt capable of caring enough to maintain it. Llms mostly make smart people lazy and or stupid.

▲

theshrike79 an hour ago | parent | next [-]

I've had my 99% vibe coded Hazel replacement running for almost a year now. Still works.

Same with my bespoke IRC client, RSS feed hydrators and a dozen other small utilities I've vibe coded. All stuff that I've been planning for a long time, but haven't found out the time to dedicate to them.

Now I'm saving actual money every year because I could drop subscriptions applications.

Not every application needs a weekly release with new groundbreaking features. They're just one and done. Maybe an update if you hit a sharp edge while using it.

▲

colonelspace 2 hours ago | parent | prev | next [-]

I used Claude to document the wire and firmware protocol for an expensive piece of equipment I own where the only software available ran on PowerPC OS X.

Is this just "vibes"? Maybe, but I now have a full, verified spec, against which to build software for myself, also with a little bit of "vibes".

Is this a good or bad thing?

▲

freecodeio an hour ago | parent [-]

> Is this a good or bad thing?

that is entirely dependent how accurate the spec is

	▲	colonelspace an hour ago \| parent [-]
		that is entirely dependent how accurate the spec is > verified spec

▲

holoduke 28 minutes ago | parent | prev | next [-]

Vibe coded software is currently already better than half the developers out there. Accept it. Code won't be seen anymore. It's a skill only a handful of jobs require to have.

▲

whoanoway an hour ago | parent | prev [-]

[dead]

▲

agumonkey 2 hours ago | parent | prev [-]

we need a group for this, de-llm the knowledge set of the model