Insights
Engineering Insights
Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
Danish pension fund excludes SpaceX citing governance and valuation
Article URL: https://www.reuters.com/legal/transactional/danish-pension-fund-excludes-spacex-citing-governance-valuation-2026-05-29/ Comments URL: https://news.ycombinator.com/item?id=48333820 Points: 451 # Comments: 11
PAN-OS GlobalProtect Authentication Bypass (CVE-2026-0257) Under Active Exploitation
Palo Alto Networks has warned that a recently disclosed medium-severity security flaw impacting PAN-OS and Prisma Access has come under active exploitation in the wild. The vulnerability, tracked as CVE-2026-0257 (CVSS score: 7.8), refers to a case of authentication bypass that could be exploited by bad actors to set up VPN connections. "Authentication bypass vulnerabilities in the
WH proposes rules giving political appointees final approval on research grants
Article URL: https://www.scientificamerican.com/article/white-house-proposes-new-rules-giving-political-appointees-final-say-on-research-grants/ Comments URL: https://news.ycombinator.com/item?id=48331511 Points: 278 # Comments: 587
Malicious npm packages abuse dependency confusion to profile developer environments
A dependency confusion campaign leveraged 33 malicious npm packages to collect reconnaissance data from developer and build environments. This report details the attack chain, observed tradecraft, and detection opportunities to help organizations identify and disrupt related activity. The post Malicious npm packages abuse dependency confusion to profile developer environments appeared first on Microsoft Security Blog.
What Is a Dickover?
Article URL: https://daringfireball.net/2026/05/what_is_a_dickover Comments URL: https://news.ycombinator.com/item?id=48330882 Points: 489 # Comments: 187
I Deployed AI Agents Across My Entire Dev Workflow — Here's the Real ROI After 30 Days
TL;DR: I built and deployed 7 specialized AI agents to handle different parts of my development workflow. After 30 days of continuous operation, here's exactly what worked, what failed, and the real numbers behind AI-powered development automation. Thirty days ago, I made a decision that would either save me hundreds of hours or waste a significant amount of time: I would delegate as much of my development workflow as possible to specialized AI agents. Not just code completion. Not just chatbot
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