Hermes Agent is an open‑source, self‑hosted AI agent framework that combines a layered persistent memory system, automatic skill generation, a unified tool registry, and multi‑platform messaging gateways, enabling agents to retain knowledge across sessions and continuously improve their capabilities.
The article explains why placing rate limiting at the Spring Cloud Gateway layer, using Redis and Lua scripts, provides a high‑performance, distributed defense against traffic spikes, and walks through three algorithms, configuration parameters, code examples, and custom error handling for robust backend services.
The article explains why enterprise back‑office applications inevitably adopt Role‑Based Access Control (RBAC), describes its core principle of indirect permission mapping, presents the standard five‑table schema, explores extensions such as role inheritance (RBAC1) and separation of duty (RBAC2/3), and provides practical tips, performance trade‑offs, common pitfalls and references to standards and open‑source implementations.
OpenAI has expanded Codex beyond code generation, enabling it to see and manipulate Windows graphical interfaces and be remotely orchestrated from the ChatGPT mobile app, signaling a shift toward AI agents that operate within real computer workstreams.
DigDeep is a Java‑based tool that efficiently extracts nearly one hundred types of high‑, medium‑, and low‑risk sensitive data from source files across cloud, mini‑program, app, and web environments, offering recursive scanning, risk‑level filtering, deduplication, and multi‑format export to aid security audits.
Notepad++ has been found to contain three serious vulnerabilities—two remote‑code‑execution flaws (CVE‑2026‑48778, CVE‑2026‑48800) and a denial‑of‑service issue (CVE‑2026‑48770)—all exploiting unchecked XML configuration files, putting millions of Windows users at high risk until they apply the latest security update.
The article examines Google’s $500 reward for a high‑severity V8 out‑of‑bounds write vulnerability, tracing the historic decline of bug‑bounty payouts, the monopolistic role of major platforms, AI‑driven bug‑finding saturation, and the resulting challenges for security researchers both globally and in China.
A dark‑web seller offers an alleged 109 GB JSON dump of 850 million Indian Aadhaar records for a few dollars, prompting analysis of the data’s scope, possible leakage paths, security implications, and defensive measures for large‑scale identity systems.
The article analyzes Cloudflare’s 2026 layoff of 1,100 staff, arguing that AI will not replace builders or sellers first but will fundamentally restructure the measurement layer of organizations, citing Deloitte, Microsoft, Harvard Business Review and Anthropic research, and outlining the risks and a new governance framework needed for this transition.
Each week we spotlight four trending GitHub repos—a desktop Electron tool that visualizes WeChat payment CSVs, the Kimi AI‑powered code assistant that understands whole‑project context, the lightweight Python‑based Pianke for local markdown note‑taking, and the PoC‑Lab collection of multi‑platform vulnerability exploitation scripts.
The article explains how using Git worktrees creates isolated workspaces for parallel AI agents, preventing file conflicts, preserving task context, and enabling safe experiment deletion, while outlining a four‑layer process, practical commands, patterns, and limitations for reliable AI‑assisted development.
This article walks through building a Spring Security resource server with OAuth2, enabling method‑level, object‑level and URL‑level permission checks using annotations like @PreAuthorize, @PostAuthorize, @PostFilter, and demonstrates configuration, utility helpers, controller examples, testing steps, best practices, and common pitfalls.
The article explains why a robust harness is critical for production AI agents and walks through seven core components—control loop, state management, memory, tool integration with a bash escape hatch, context management, planning, and error handling—providing concrete code examples, pitfalls, and a step‑by‑step guide for developers.
The article explains how AI lowers the barrier to entrepreneurship, outlines six practical AI‑driven business models—from content creation and tool training to vertical AI solutions and overseas product launches—and offers three validation questions and actionable advice for ordinary people to launch low‑cost, AI‑powered ventures.
The article surveys ten historically influential programming languages—COBOL, ALGOL, APL, BASIC, PL/I, SIMULA, Pascal, CLU, ML, and Smalltalk—explaining their original purposes, key technical contributions, reasons they fell out of mainstream use, and how their ideas continue to underpin today’s software ecosystems.
Claude Opus 4.8, released just 43 days after 4.7, improves honesty, cuts code‑defect miss rates to a quarter, reduces over‑confident answers, outperforms Mythos on several benchmarks, and introduces Dynamic Workflows that let hundreds of sub‑agents run in parallel for complex tasks.
The article presents RTPurbo, a lightweight two‑stage training method that converts full‑attention LLMs into highly sparse models with over 97% sparsity, achieving up to 9.36× prefill and 2.01× decode speedups while preserving near‑lossless accuracy across long‑context benchmarks up to 512K tokens.
SpaceX has replaced JAX with a C‑based training stack that Elon Musk says speeds up large‑model training by an order of magnitude, while simultaneously building the 1‑GW Colossus II supercomputer, listing AI infrastructure as a core business, and offering short‑term compute rentals such as a 180‑day lease to Anthropic.
WBench, a new benchmark created by Meituan LongCat and Fudan University, evaluates 20 state‑of‑the‑art video and world‑model systems across 289 test cases and 1,058 interaction rounds, measuring video quality, setting adherence, interaction fidelity, consistency and physical compliance, and reveals that no model yet excels in all five dimensions.
The article analyzes the evolving server CPU landscape, forecasting a three‑way split among Intel, AMD, and ARM by 2030, driven by AI workloads, shifting CPU‑GPU ratios, supply constraints, price hikes, and rapid revenue growth exceeding $200 billion.
