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Dropbox Integrates MCP and Dash to Close the Gap Between Security Design and Code Review

Dropbox has integrated Model Context Protocol (MCP) with its internal knowledge platform, Dash, to surface security design context during AI assisted code reviews. The system retrieves threat models and security requirements for pull requests, helping reviewers validate implementation against design intent. An InfoQ Q&A explores the architecture and key lessons learned. By Leela Kumili

2026-07-31 原文 →
AI 资讯

Presentation: The Free-Lunch Guide to Idea Circularity

Holly Cummins discusses why "nothing is new under the sun" in tech. She maps historical architectural tradeoffs to modern cloud, microservices, and AI hype cycles. She connects financial debt (post-ZIRP) and technical debt to epistemic and sleep debt, showing engineering leaders how to navigate shifts in assumptions, embrace sustainability, and revive proven engineering disciplines. By Holly Cummins

2026-07-31 原文 →
AI 资讯

I turned "AI design slop" into a rules file you drop into Cursor/Claude so your builds UIUX stop looking generated

Everything I vibe-coded kept coming out the same: purple gradient, three-card row, rounded-2xl everything, an italic serif hero I never asked for. The model fills any decision you leave unspecified with the average of its training data, and that average is the "AI look." So I catalogued the tells, then wrote them up as a drop-in rules file. Rename it to CLAUDE.md, .cursorrules, or AGENTS.md and your agent designs against the defaults automatically. It is phrased as "prefer a real decision over the reflex," not a blanket ban, because half these patterns are fine in the right place. You just don't want all of them at once by accident. Rules file: https://github.com/febbhav/signs-of-ai-design/blob/main/design-rules.md submitted by /u/SteepLikeAMountain [link] [留言]

2026-07-31 原文 →
AI 资讯

A fundamental flaw leaves LLMs strikingly vulnerable to attack

It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a team of researchers argue in a paper presented at the International Conference on Machine Learning, a top AI conference, this month. The claim has huge implications for the safety of this technology, which…

2026-07-30 原文 →