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.
Laracon US 2026 has announced its complete speaker lineup for July 28-29 in Boston, headlined by Taylor Otwell, Aaron Francis, Nuno Maduro, and Kent C. Dodds. The post Laracon US 2026 Reveals Its Full Speaker Lineup appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox.
For decades, the software industry has integrated databases, APIs, messaging systems, and distributed services into enterprise applications. Now, large language models (LLMs) have become a new architectural component. Despite widespread interest in AI and numerous tutorials, many engineering teams are still asking a fundamental question: How should AI be integrated into software systems? AI integration does not follow a single architectural style. For example, a retrieval-augmented generation (R
Comments
JetBrains and The PHP Foundation have launched the first State of PHP survey, gathering data on how PHP developers work, what tools they use, and where the language should go next. The post The State of PHP 2026 Survey Is Now Open appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox.
Share your thoughts on this year’s conference. Take the survey
AI-driven attacks are exposing the limits of fragmented MSP security stacks and slow response workflows. Kaseya breaks down why integrated security, automation, and recovery are becoming essential. [...]
Search agents have become essential infrastructure for frontier language models, yet their development remains locked behind corporate walls. These systems need to handle a fundamentally difficult problem: given access to tools and a knowledge base, explore systematically, make smart decisions about which paths to pursue, and know when to pivot strategies. Unlike a human researcher who can draw on intuition and common sense, an LLM agent works from what it's learned during training, which means
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]
