The creator of Claude Code just revealed his workflow, and developers are losing their minds

Claude Code creator Boris Cherny reveals his viral workflow for running multiple AI agents simultaneously—transforming how ...
InfoQ

Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, ...
IEEE

Communication-Aware Graph Neural Network for Multi-Agent Reinforcement Learning

Abstract: Multi-agent reinforcement learning (MARL) requires effective communication strategies to solve complex control tasks over uncertain communication channels. This paper explores a ...
InfoQ

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
NetEye Blog

Atlassian Rovo Today: Architecture, Technologies, and Enterprise Trust

The data ecosystem around Rovo has continued to grow through new connectors and enterprise synchronization, enriching the ...