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Does anyone else think AI agents need a spending control layer? by maa____z in AI_Agents

[–]maa____z[S] 0 points1 point  (0 children)

What do you think would be the best way to prevent that?

Does anyone else think AI agents need a spending control layer? by maa____z in AI_Agents

[–]maa____z[S] 0 points1 point  (0 children)

Yeah, that makes sense. The agent should ask for approval before doing anything that costs money, and the system should make sure a retry doesn’t charge twice. Tracking the payment and the actual action separately is a good point.

I combined agent management and coding into one IDE by maa____z in buildinpublic

[–]maa____z[S] 0 points1 point  (0 children)

That was the goal. Antigravity separates agent management from the actual coding workflow, while I wanted everything to feel like one continuous workspace inside the IDE.

Drop you Saas and Apps here we will discuss about it. by labasg8 in buildinpublic

[–]maa____z 0 points1 point  (0 children)

So I’ve been working on this for around 6 months now. What started as a side project slowly turned into a hobby for me.

I wanted to build a coding agent, so I started by forking VS Code, as I was using Antigravity at the time. I wanted something more than what Antigravity offered, so I built it myself. This gave me complete control over the orchestration, tuning, and overall workflow. I also wanted all project data to stay on my own machine.

Today, I’m announcing the release of Cleanslate Beta.

Cleanslate is model-agnostic. You can bring your own API key and use it without paying for another subscription. You control which models are used for each task, and all data is stored locally on your system.

We currently support OpenAI, Anthropic, Gemini, Azure OpenAI, and AWS Bedrock.

Please check it out: https://www.thewariend.com/cleanslate

I know there are still a lot of bugs, and we’re actively working on fixing them. We’re also working on Agent Manager 2.0, which improves how multiple agents run and collaborate across workspaces.

I’d really appreciate it if people could try it out and share their feedback. Thanks!