Insights
Ideas for building
better software.
Engineering perspectives on architecture, product development, AI, and the everyday decisions behind useful software.
From the engineering desk
Browse practical articles or follow the latest technology updates.
Subscribe via RSS →Curated links from external sources — not 360Softy original articles.
How Engineering Teams Can Build Trustworthy AI Systems Before They Reach Production
In one fraud-review scenario I worked through, an AI assistant looked reliable during demos because it explained risk signals clearly and gave reviewers useful summaries. The issue appeared when the system met a legitimate high-value transaction with a new payee, an older device record, and incomplete context from the data source. The assistant did not fail loudly. It sounded confident while routing the case the wrong way. The model was not the only problem. The engineering around the model did
We found a division by zero bug in FFmpeg with a vibecoded fuzzer
Comments
The iconic T-38 jets flown by astronauts just got a spiffy new look
"Everyone wants to take that aircraft up now..."
Agentic AI Risks, CVE Program Concerns Permeate Black Hat USA 2026
This installment of the Reporters' Notebook video series discusses the topics that dominated the cybersecurity conference, such as AI's effects on vulnerability reporting and security research.
Let’s start with a conversation
Tell us what you’re working on.
An idea, a challenge, or a system that needs to work better. We’ll help you understand the next step.
Prefer email? [email protected]