Show HN: 8d – Agent-Native Version Control, where Git breaks
https://github.com/8dazo/8d
https://github.com/8dazo/8d
I’ve been running into cases where LLM/agent systems make unexpected or repeated calls and costs spike quickly.Most tools I’ve found focus on observability (logs, traces, dashboards), but not actual enforcement.Is there anything that can:- stop or cut off a call mid-execution (based on budget, tokens, or conditions)?- enforce limits at runtime instead of just alerting after the fact?Curious if...
I’ve been running into an issue with LLM/agent systems where unexpected loops or repeated calls can quickly drive up costs.Most tools I’ve seen focus on observability (logs, traces, dashboards), but not actual enforcement at runtime.Curious how people here are handling this in production:- Are you enforcing hard limits (budget, rate, etc.) or just monitoring?- Do you handle this at the app...
Your AI can generate the code or the text (like the gym plan), but it needs a place to run 24/7 to actually execute tasks, save files, or interact with APIs. Usually, you'd pay for a cloud server to host that logic. PhoneClaw lets you host that execution layer on a spare phone you already own.