Best-Practices

Somewhere in your company’s recent strategy deck, there’s a slide about multi-agent AI systems. It probably has a diagram with six or eight boxes connected by arrows, each box representing a specialized agent — one for research, one for synthesis, one for outreach, one for quality control. It looks clean. It looks powerful. It looks exactly like the microservices architecture slides that were circulating in 2014. InfoWorld is issuing the same warning now that engineers were quietly issuing then: distributed complexity is not a free upgrade. You have to earn it. ...

Today’s Claude Code source leak was a good reminder that shipping to npm is a security surface area that many developers don’t audit carefully enough. A 60MB .map file contained Anthropic’s entire CLI source. This guide shows you how to prevent the same thing from happening to your own packages. Why Source Maps Are the Hidden Risk Source maps (.js.map files) are generated by build tools like webpack, esbuild, Rollup, and Parcel to help with debugging. They map your compiled, minified output back to the original source. In development and CI, this is exactly what you want. ...

The “token tax” problem is real. As enterprises and power users deploy OpenClaw at scale, a recurring nightmare scenario is playing out: you set up an autonomous reasoning loop before bed, wake up, and discover your OpenAI or Anthropic bill has ballooned by $500–$1,000+ overnight. This is not a hypothetical. It’s being reported across the OpenClaw community today — in Paul Macko’s OpenClaw Newsletter, on ManageMyClaw.com, and in cost guides circulating in developer channels. And the root cause is straightforward: OpenClaw ships with no native API rate limiting or daily spend caps by default. ...

There’s a problem with multi-agent AI systems that doesn’t show up until you run them in the wild, and a new research paper from Northeastern University has done the work of naming it precisely. The paper, “Agents of Chaos,” led by researcher Natalie Shapira, makes a claim that anyone who’s run multi-agent pipelines in production will recognize: the failure modes of two agents interacting are not the sum of their individual failures. They’re something qualitatively different and qualitatively worse. ...

Indirect Prompt Injection (IDPI) is now confirmed in-the-wild by Palo Alto Unit 42. Adversaries are embedding hidden instructions in web pages and documents to hijack AI agents — and OpenClaw’s browser and research agents are high-value targets. This guide walks through concrete hardening steps you can apply to your OpenClaw deployments today. Prerequisites OpenClaw installed and configured (any recent version) At least one agent with web browsing or document processing capability Basic familiarity with OpenClaw’s skill and session configuration Step 1: Audit Your Agent Attack Surface Before hardening anything, map your exposure. For each agent you run: ...