Swift concurrency eliminates data races with actors, but reentrancy and the runtime model mean you still need to think carefully about state and execution.
Binary CI/CD pass/fail signals do not adequately represent release risk in complex enterprise systems, where context and impact matter more than execution status.
Three protocols are shaping how AI agents interact with tools, other agents, and users. Here's what each one does, how they fit together, and when to reach for which.
Modern agentic AI systems introduce new security risks as LLMs act as privileged deputies, mapping threats to the Confused Deputy problem and proposing policy guardrails.
Most meetings waste time due to poor design. Treat them as systems: clear goals, async prep, solid docs. Use AI to capture decisions and scale knowledge — not chaos.
Legacy identity governance fails in modern cloud environments. Learn how event-driven, AI-assisted models improve access control and reduce security risks.
NB-IoT, Cat-M, and now RedCap all surface the same mass attach problem at scale. Here's what it is, why RedCap doesn't escape it, and what to fix before activation day.
This article explores the rise of platform engineering, the Golden Path vs. Jungle Path model, and how agentic AI is automating infrastructure governance.
Does your backend know the difference between {} and {"email": null}? It's vital if you want the correct data. Missing fields and explicit nulls carry different intent.
Strong QA is not checklist work. It combines investigation, analytical thinking, and technical communication to find failure paths early and improve the system over time.
SAP to S/4HANA migrations don’t fail loudly — they fail silently through legacy ABAP, bad data sync, and broken interfaces discovered weeks after go-live.