Insights
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.
Wonderful said it will use its $550 million Series C funding to develop products faster, expand its FDE teams, and meet demand for its products.
AI models have clearly proven their ability to discover and exploit vulnerabilities without much, if any, human assistance. To help defenders gain the advantage with AI, we built the Mantis harness to automate the discovery, triage, reproduction, and patching of software vulnerabilities. Available to all as an open-source framework, Mantis is part of Google’s internal approach to find and fix vulnerabilities at machine-speed. It creates a more effective scalable, context-aware repository analys
To further empower our customers in their data journey, we are excited to announce the launch of identity columns in BigQuery. This new feature allows users to define columns that automatically generate sequential 64-bit integer values, simplifying the way you manage unique identifiers within your tables. Data engineers are always looking for ways to make data ingestion smoother and more reliable. BigQuery identity columns offer a powerful, built-in mechanism to automatically generate unique num
In most software, a red test is a bug. On the systems I work on, a red test can be a patient-safety signal. That one difference reshapes almost every decision you make when you sit down to design a quality strategy. I've spent more than a decade in software quality, most of it around medical device software: robotic-assisted surgery, surgical simulation, and clinical education platforms. The engineering is interesting on its own. What makes it genuinely hard is that every test, every pipeline, a
AI cost optimization goes beyond model selection. Discover how context engineering in Microsoft Foundry helps lower AI costs by improving knowledge retrieval, tool selection, memory, and agent performance at scale. The post The Economics of Agent Optimization: Context engineering for enterprise AI agents appeared first on Microsoft Azure Blog.
Christopher was sick of being ghosted by AI recruiters. So he unleashed ChatGPT on his robot interviewer.
Announcing strands-dynamodb-storage, an open source Amazon DynamoDB storage backend for the Strands Agents SDK. Back a Strands agent's session state, long-term memories, and transcripts with one DynamoDB table in your own account, and give the agent semantic recall with a vector index on that same table.
Let’s start with a conversation
An idea, a challenge, or a system that needs to work better. We’ll help you understand the next step.
Prefer email? [email protected]
