44 related articles

Explore how CodeCrucible uses LLMs to revolutionize static code security analysis (SAST), comparing traditional tool limitations with semantic-driven vulnerability detection.

Explore how CodeCrucible uses LLMs to revolutionize static code security analysis (SAST), comparing traditional tool limitations with semantic-driven vulnerability detection approaches.

Deep dive into QA challenges for long AI voice calls: why short script testing fails, how to evaluate context tracking, state management, and task correctness with actionable testing methodologies.

Anthropic discloses its AI model Claude was exploited for automated cyberattacks. Analysis of attack methods, industry impact, and enterprise defense strategies.

Numbat is an open-source AI Agent security detection and response tool supporting cross-framework deployment with Agent behavior visibility and pre-execution interception capabilities.

Deep technical breakdown of an AI Agent-driven intrusion at a frontier AI lab, covering the full attack timeline from reconnaissance to data exfiltration, plus defense strategies.

Deep technical breakdown of an AI Agent-driven frontier lab intrusion, covering the full timeline from reconnaissance to data exfiltration, with analysis of growing offense-defense asymmetry.
ChatGPT Work Deep Dive: The Cloud-Loca…
ChatGPT Work runs in the cloud on web/mobile but accesses local files on desktop — and they don't sync. A deep dive into the split design, UX tradeoffs, and broader AI agent challenges.

Anthropic engineers reveal Claude Code's 18-month evolution: system prompt cut by 80%, 65% of PRs shipped automatically by AI, Claude Tag collaboration, and the safety logic behind auto mode.

A deep dive into Coze 3.0's multi-agent collaboration, covering project workspace architecture, credit economics, local tool integration, and a Dify comparison.

Sysdig captured JadePuffer, the first fully autonomous LLM attack agent: exploited Langflow RCE, self-corrected in 31 seconds, laterally moved, encrypted databases, and left a ransom note — a deep-dive into weaponized AI agents.

A systematic breakdown of the AI agent development learning path, covering four stages: fundamentals, RAG knowledge bases, tool use, multi-agent collaboration, and hands-on projects.

A systematic guide to the full DeepSeek Agent development process: covering prompt engineering, the ReAct framework, workflow orchestration, local deployment, and business requirement breakdown for commercial-ready AI Agents.

Deep dive into the three-layer architecture of AI persistent memory systems—storage, management, and retrieval—with an in-depth comparison of Mem0, Zep, and ContextNest to help developers choose the right memory solution for AI Agents.

An in-depth analysis of the "any Agent as an orchestrator" design philosophy, exploring the technical implementation of multi-Agent collaboration, context management, and workflow automation.

A complete 6-week AI Agent learning roadmap covering core architecture (planning/memory/tool use), the ReAct paradigm, multi-agent collaboration, RAG integration, and production deployment.

The agentskills open-source project aims to solve AI Agent ecosystem fragmentation through standardized skill specifications enabling portable, composable, and reusable agent capabilities.

Google launches five major Gemini Spark upgrades including macOS native integration and Smart Triggers, transforming AI assistants from passive chat tools into proactive Personal AI Agents for around-the-clock autonomous task handling.

Google launches five major Gemini Spark upgrades including macOS native integration and Smart Triggers, transforming AI from passive chatbot to proactive Personal AI Agent for always-on task handling.

Alibaba open-sources Page-Agent, a TypeScript-based in-page JavaScript GUI agent that lets users control web interfaces with natural language. No scripting needed. Already 23K+ GitHub Stars.