When a Java application suddenly hits 100% CPU and becomes unresponsive, this guide walks through a three-step investigation—identifying the hottest process, the most CPU-intensive thread, and the offending code—using tools like top, jstack, and Arthas, and presents common causes and preventive measures.
DeNovoSWE, a newly released large‑scale dataset of 4,818 high‑quality document‑to‑repository tasks, uses a Divide‑and‑Conquer and Critic‑Repair pipeline to generate well‑organized, evaluation‑aligned specifications, and experiments show it boosts LLM code agents’ repository‑level generation performance from single‑digit to over 40% on benchmarks.
Arbor, an open‑source autonomous research framework from RUC’s Gaoling AI Institute and Microsoft Research, structures the research loop with a growing hypothesis‑tree and insight back‑propagation, allowing agents to retain hypotheses, evidence, and failures, and achieves the best held‑out results on six real AO tasks, surpassing Codex and Claude Code.
A Brown University PhD candidate who shifted from multilingual modeling to AI safety shares six unexpected lessons from landing an OpenAI Astra Fellowship, covering the limited role of papers, diverse interview formats, paid work trials, timing, rare retention offers, and many interview topics unrelated to the research focus.
The article explains how a short, well‑structured CLAUDE.md file injects the minimal yet essential context an LLM coding agent needs before it scans a repository, preventing common mis‑assumptions about tech stack, commands, boundaries, and completion criteria.
The article explains how Hermes Agent avoids the pitfalls of naive sliding‑window truncation—such as orphaned tool calls and broken KV‑cache—by using a three‑segment protection scheme, cheap tool‑result pre‑pruning, and a structured, reference‑only summary that dramatically reduces tokens while preserving and even improving prefix cache hit rates.
This article demonstrates how to use LangGraph to build a state‑machine‑based hybrid RAG agent that routes each query to the most suitable retriever—vector similarity, graph traversal, or web search—through a Router, and then validates answers with grading, rewriting, generation, and hallucination‑checking components.
JD donated its self‑developed Oxygen xLLM large‑model inference engine to the OpenAtom Open Source Foundation under Apache 2.0, highlighting its service‑engine decoupled architecture, heterogeneous‑chip support, proven performance gains in e‑commerce, power and public‑safety use cases, and a roadmap to become the domestic AI‑infra standard.
JD announced the donation of its Oxygen xLLM inference engine to the OpenAtom Open‑Source Foundation, detailing its service‑engine decoupled architecture, performance breakthroughs across e‑commerce, power and public‑safety workloads, and a roadmap to expand the open‑source AI ecosystem.
On June 24, 2026 JD announced the donation of its Oxygen xLLM large‑model inference engine to the OpenAtom Open Source Foundation, detailing its service‑engine decoupled architecture, performance breakthroughs, heterogeneous chip support, and real‑world gains in e‑commerce, power‑grid and public‑safety applications while outlining a roadmap for broader ecosystem co‑building and standards leadership.
The article analyzes common Nginx privilege‑escalation attack chains, enumerates vulnerable CVEs and configuration mistakes, and demonstrates how the Safedog HIDS detects each stage—from web‑shell upload to SUID abuse—while providing step‑by‑step remediation and verification procedures.
Tencent quietly launched the open‑source EdgeOne Makers platform, which enables an AI agent to fully deploy a Next.js project—or any supported app—through a single CLI command, using a standardized Skill system while highlighting both its potential and current limitations.
The article outlines a step‑by‑step, Excel‑based workflow that identifies approval bottlenecks, creates a group whitelist, and implements lightweight SOPs to shave up to 80% off approval cycle time, saving two hours daily and letting teams focus on high‑risk items without requiring system changes.
This guide explains how to safely tune Linux kernel sysctl parameters by first identifying the problem layer, backing up current settings, applying targeted changes, and verifying effects, while highlighting common mis‑configurations, real‑world case studies, best‑practice recommendations, and monitoring strategies.
The article explains how Nginx’s event‑driven, asynchronous non‑blocking model, master‑worker multi‑process design, efficient I/O multiplexing (epoll/kqueue), and lightweight resource‑control architecture enable it to sustain extremely high concurrency with minimal overhead.
OpenAI and Broadcom unveiled Jalapeño, the company’s first AI‑designed ASIC for LLM inference, achieving a nine‑month tape‑out thanks to deep AI involvement in the design flow, and promising per‑watt performance that surpasses current leading solutions.
The article explains that layered architecture is not just a formalism for code organization but a fundamental safeguard that isolates responsibilities, changes, and replacements, preventing large systems from collapsing and enabling maintainable, scalable development.
The article compares GPT Plus and ChatGPT Pro, explaining how usage intensity, task complexity, and delivery stability determine which subscription is appropriate for programmers, freelancers, and anyone earning money with GPT.
The Guangdong Alcohol Industry Association’s recent leadership transition revealed a market in structural adjustment, highlighted declining sales, emerging consumer trends, a service‑first philosophy, and a push for digital and AI‑driven transformation as the industry seeks new growth engines.
OpenAI unveiled GPT‑5.5‑Cyber as part of its Daybreak security initiative, delivering a full‑capability model that outperforms Anthropic’s Mythos 5 on multiple security benchmarks and can autonomously discover, verify, and patch software vulnerabilities while launching the open‑source “Patch the Planet” program.
