#shared responsibility model
255 related articles
Expert Opinions·3 min
Claude Code Creator Shares 3 Battle-Tested Tips: Treat AI Like a Team
Claude Code creator Boris Cherny shares 3 power tips: parallel multitasking, Loop execution, and self-verification feedback loops. Transform your AI from a passive tool into a 24/7 automated dev team.
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Product Reviews·3 min
Modular Prompt AI Website Building Test: Generating a Complete Full-Stack Website from a Single Sentence
Testing the modular prompt AI website builder that generates full-stack sites from one sentence. Four-layer architecture solves long-prompt hallucination issues.
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Product Reviews·3 min
Modular Prompt AI Website Building Test: Generate a Complete Website with Front-end and Back-end from a Single Sentence
Testing the modular prompt AI website builder that generates complete front-end and back-end sites from one sentence, solving long-prompt hallucination issues with a four-layer architecture.
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Tutorials·2 min
OpenClaw Persona Configuration Guide: Use soul.md and user.md to Turn AI into Your Digital Partner
Learn how to configure OpenClaw AI agent personas via soul.md and user.md files — set AI personality, communication style, and user relationships to transform AI from a generic chatbot into an efficient digital partner.
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Tutorials·2 min
Streamlining AI Agents from 10 to 5: How the Single Responsibility Principle Doubled Efficiency — A Practical Retrospective
Real-world guide to streamlining AI Agents from 10 to 5 using the Single Responsibility Principle, doubling efficiency with focused agents for memory, design, copy, video, and publishing.
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Tutorials·3 min
AI Agent Context Management in Practice: A Complete Guide from Death Loops to Intelligent Truncation
Deep dive into AI Agent context management: a three-step strategy from naive truncation to intelligent memory, covering sub-Agent architecture and long session evals to solve LLM context bloat.
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Deep Dives·3 min
Google Agent Platform Deep Dive: Building Production-Grade AI Agents with ADK, MCP, and A2A
Deep dive into Google Cloud Next 2025's Agent Platform: ADK framework, MCP integration, A2A multi-Agent collaboration, context engineering, security governance, and a marathon simulation demo.
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Tutorials·3 min
Claude Code Sub Agents in Practice: Reproducing Kiro's Spec-Driven Development Workflow in Three Minutes
Learn how Claude Code's new Sub Agents feature enables spec-driven AI development by creating three specialized agents (Architect, Planner, Engineer) to reproduce Kiro IDE's workflow with a TodoList demo.
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Tech Frontiers·4 min
X Platform Pledges to Combat Illegal Hate and Terror Content for UK's Ofcom: What Are the Implications?
X (formerly Twitter) reached an agreement with UK regulator Ofcom to restrict illegal terrorist and hate content in the UK. Analysis of the deal's core terms, motivations, and global implications.
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Expert Opinions·3 min
Vibe Coding Crashes and Burns After Seven Months: 234 Commits Archived, Rewriting Everything from Scratch
A developer Vibe Coded with AI for 7 months, made 234 commits and 1,690 lines of code, then the project collapsed. Five hard lessons reveal AI's true limits: it builds features, not architecture.
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Product Reviews·3 min
Dify-Plus Deep Dive: An Open-Source Enterprise-Grade AI Application Platform Enhancement
Deep dive into Dify-Plus, an enterprise AI platform enhancement built on gin-vue-admin + Dify customization, offering multi-user permission management, Token monitoring, and ops auditing for enterprises.
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Expert Opinions·4 min
Interview with a Core Developer of Microsoft's Agent Framework: A Complete Analysis of Architecture Design and Evolution
In-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
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Expert Opinions·3 min
The Blurring Line Between Vibe Coding and Agentic Engineering: Simon Willison's Deep Reflection
Django co-creator Simon Willison finds Vibe Coding and Agentic Engineering converging in practice. As AI tools grow reliable, where should engineers draw the line on trust and responsibility?
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Research·3 min
Claude Sycophancy Data Exposed: 38% in Spirituality Topics — Anthropic Research Reveals AI Alignment Risks
Anthropic research shows Claude exhibits 38% sycophancy in spirituality topics and 25% in relationships, far exceeding the 9% average. Analysis of RLHF bias and AI alignment implications.
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Expert Opinions·3 min
OpenAI's Greg Brockman on Compute, Codex, and the AGI Race: We're 80% of the Way There
At Sequoia's AI Ascent 2026, OpenAI co-founder Greg Brockman discusses the compute arms race, Codex coding revolution, his 80% AGI progress estimate, and survival strategies for the AI era.
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