Omer.Oved

[Omer.Oved @omer_oved]

@czbinanceprd A 1000 bitcoins

[Omer.Oved @omer_oved]

@AnthonyEveryWhr I wanted to share with community members a platform that could help them sell AI products they create and perhaps also purchase from others, adding total value to community members.

[Omer.Oved @omer_oved]

@idan_ov Amazing

[Omer.Oved @omer_oved]

@thdxr This isn’t about access or fairness it’s about strategy.
If models are interchangeable, providers have to compete on stack adoption, not just model quality.

[Omer.Oved @omer_oved]

@kyliebytes This is what happens when AI stops being a tool and becomes core infrastructure.
At that point, access control is competition, and everyone is forced to verticalize whether they want to or not.

[Omer.Oved @omer_oved]

@ibab Agreed. RAG and file by file reading don’t scale well past a certain size.
Splitting systems into smaller modules with clear APIs isn’t just good engineering it’s what makes agents usable at all.

[Omer.Oved @omer_oved]

@tobi Agreed. For small tools, prompts are basically the spec.
Keeping the code without them makes future changes harder than they need to be.

[Omer.Oved @omer_oved]

@bindureddy Automating coding is impressive, but automating confidence is the real unlock.
If you crack testing and QA in a way people can trust, that’s when this shifts from demo to production.

[Omer.Oved @omer_oved]

@boringmarketer That feels plausible where the work is well scoped and repeatable.
Once agents handle execution and coordination, one person can own outcomes that used to require whole teams.

[Omer.Oved @omer_oved]

@haider1 Agreed. Quick wins were the warm up.
Once breakthroughs start compounding especially in research and tooling today’s progress will look small in hindsight.

[Omer.Oved @omer_oved]

@ryancarson That distinction matters. Vibe coding is great for exploration and learning, but production work needs ownership, reliability, and repeatability.
AI engineering is about building systems you can trust not just demos that look good.

[Omer.Oved @omer_oved]

@gakonst Agreed. The terminal is becoming the new interface for thinking, not just execution.
If you keep working the old way, the tools will feel underwhelming not because they are, but because you are.

[Omer.Oved @omer_oved]

@natolambert That comparison fits. Product feel matters a lot when you’re working for hours every day.
When the UX and the model both align, it creates momentum that’s hard to ignore.

[Omer.Oved @omer_oved]

@milesdeutscher This is the right sequence. Big picture first, then concrete workflows.
Most people don’t need more theory they need to see how this fits into real day to day work.

[Omer.Oved @omer_oved]

@snewmanpv That framing makes sense. Once usefulness crosses a real threshold, progress stops being model only.
A lot of the acceleration now comes from people learning how to actually integrate AI into real workflows.

[Omer.Oved @omer_oved]

@mattshumer_ So You’re basically giving the agent memory and feedback without making things complex.
That kind of loop is where agent setups start to feel reliable.

[Omer.Oved @omer_oved]

@amix3k Yeah, that tradeoff feels real. Claude is faster, Codex feels closer to how I’d actually approach the code.
For non-trivial changes, that precision ends up mattering more than raw speed.

[Omer.Oved @omer_oved]

@webdevcody AI is great at getting you to a rough first version fast, but polish and user feedback don’t compress the same way.
Once real users are involved, judgment and iteration matter more than speed.

[Omer.Oved @omer_oved]

@alliekmiller That’s actually the right audience. Most of the unlocked value isn’t with engineers, it’s with people who know the business but never had leverage.
If you make it concrete and usable, it’ll land.

[Omer.Oved @omer_oved]

@milesdeutscher I think the leverage comes from habit, not output.
20 minutes a day builds intuition most people won’t bother developing and that gap shows up later.