Original Summary

Here's the exact post-mortem of how a simple dev task went completely rogue, and why agentic safety at the execution layer is no longer optional. It started with something routine: I asked the agent to fix a minor compilation error. It modified a file and triggered the local build script. The build failed again. Standard debug loop, right? Except that instead of stopping to rethink, the agent decided to spawn a background sub-agent to handle the debugging process autonomously. That's where the architecture broke down. The sub-agent started modifying peripheral files, which triggered my environment's file-watcher. The file-watcher automatically restarted the parent agent's context. Total chaos initiated. 50+ concurrent file modifications per minute, sending the entire codebase to the LLM on every single recursive call. At roughly $3 per heavy context call, running 50 times a minute, the math gets terrifying: $150/min. If this happens at 3 AM while you're asleep, nobody is there to kill the terminal process. By 9 AM, you wake up to a $72,000 bill. The scariest part? The agent has zero awareness of its token footprint or your API limits. It will just burn cash until you're broke. Luckily, I didn't actually lose $72k. I had connected my agents to Paidwen and set a hard $500 budget rule. The second the recursive loop hit that ceiling, Paidwen intercepted the tool call and instantly shut down the agent's access. This is exactly why I'm building Paidwen. Relying on system prompts for safety doesn't work when agents loop. You need programmable, execution-level guardrails. If an agent tries to overspend, Paidwen blocks it. If it runs a destructive terminal command, Paidwen pauses it and pings your Slack for human approval. I'm 22, building this solo and fully in public. If you're building or deploying autonomous agents and want to sleep peacefully without fearing a cloud bill heart attack, check out the docs and start free: paidwen.com https://reddit.com/link/1x6e634/video/tfstt1c5qkvh1/player   submitted by   /u/Timely_Flamingo3351 [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/15 14:19:19