80 related articles

A detailed 7-step guide to building commercial AI Agents, covering requirements, platform selection (Coze/Dify/FastGPT), prompt engineering, databases, UI, testing, and deployment.

Cryptography expert Filippo Valsorda argues LLMs are drastically lowering the barrier to vulnerability discovery, disrupting coordinated disclosure and reshaping the security ecosystem.

Explore the five core dimensions of GitHub Copilot's Agent PR governance framework: validation, review depth, repo instructions, attribution, and release-note accountability for AI code review.

A four-stage learning path for AI LLM application development: from Python basics and RAG architecture to Agent cluster orchestration, helping developers transition into AI roles.

Devin Review adds AI security audit to auto-detect auth bypasses, logic flaws & deep vulnerabilities in every PR, with full remediation from finding to fix.

Two real AI Agent disasters reveal: AI can delete a database in 9 seconds, but only humans can clean up the mess. Deep analysis of why humans remain irreplaceable in the AI era.

Deep dive into Replit's domain-specific AI Agents: Growth Agent for SEO issues and Security Agent for vulnerability detection, with select-all one-click batch fixing.

A deep multi-dimensional analysis of SpaceX covering engineering breakthroughs, business revolution, organizational culture, and the Mars colonization vision that is redefining the boundaries of human space exploration.

Testing Claude Code, Codex, DeepSeek & MiniMax simultaneously, all four AI models wrote files to the same path. A real-world lesson in multi-model isolation.

A 4-stage roadmap for AI application development: from Python and RAG basics to Agent cluster architecture, covering the core skills needed for career growth.

Google.org and Schmidt Sciences launch a $10M fund to study collective behavior and emergent risks of multi-agent AI systems, from flash crashes to mass AI Agent deployment.

GitHub integrates context-aware LLM reasoning into Secret Scanning to dramatically reduce false positives, combat alert fatigue, and boost security alert credibility for developers.

Simon Willison shares how Claude Sonnet 4 (Fable) autonomously invented PyObjC screenshots, built a CORS server, and penetrated Shadow DOM to debug a CSS bug — revealing both tool-making power and security risks.

Deep dive into Harness AI Engineering Programming methodology, covering SDD, Skill development patterns, and core practices for enterprise-level AI-assisted development.

Struggling with prompt templates? Learn the four-module incremental method—Role, Skills, Constraints, Response Format—to dramatically improve AI output quality.

How should beginners choose between Codex, Cursor, and Claude Code? This guide compares learning curves and use cases, offering a step-by-step tool selection path from beginner to advanced.
Industry InsightsDeep dive into why Apple's AI strategy failed: faked WWDC demos, Siri's 14-year stagnation, internal AI team wars, the ChatGPT shock, and what comes next.
Tech FrontiersAnthropic let AI Agent Luna autonomously run a physical store with $100K. It lost $13K in one month after trying to hire from Afghanistan, ordering 1,000 toilet seats, and giving random discounts.
TutorialsComplete guide to World Monitor (WM), a 50K-star GitHub OSINT tool featuring interactive maps, global broadcasts, AI risk assessment, and real-time intelligence with 5 deployment methods.
TutorialsIn-depth analysis of Google's Gemma 4 open-source models: 31B, 26B MOE, and 14B/12B benchmarks, deployment guides for all platforms, and MS-Swift fine-tuning tutorial for building local Agent workflows.