#AI coding safety
1069 related articles
Product Reviews·3 min
Claude Code Agent Views Hands-On: Parallel Development Experience & Pitfall Guide
Hands-on review of Claude Code Agent Views parallel development: cross-project parallel, Git Worktree multi-branch workflows, Space compact mode, plus key caveats on rate limits and Worktree merging.
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Tutorials·3 min
Jules MCP Server: Using the MCP Protocol to Let Claude Orchestrate Google Jules for Autonomous Coding
Jules MCP Server is an open-source project providing a production-grade MCP server for Google Jules API, enabling Claude and Cursor to orchestrate autonomous coding via multi-Agent collaboration.
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Tutorials·4 min
Claude Code Installation Guide: From Zero Setup to Multi-Agent Collaboration in Practice
Complete Claude Code installation guide covering environment setup, one-command install, troubleshooting, cost-saving alternatives, and multi-Agent collaboration tips for beginners.
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Tech Frontiers·4 min
Google Poaches Windsurf Team, Gemini 3 Code Leaks, OpenAI Open Model Delayed: A Three-Way Battle Among AI Giants
Google acquires Windsurf's core team via talent deal, Gemini 3.0 code leaks hint at new models, and OpenAI delays its open model indefinitely. Deep analysis of the AI industry's talent, model, and open-source battles in 2025.
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Tech Frontiers·4 min
IBM Think 2025 Deep Dive: Rising Hallucination Rates in Reasoning Models and OpenAI's Acquisition of Windsurf
Deep dive into IBM Think 2025's Generative Computing and Granite 4, why reasoning model hallucination rates are rising, and OpenAI's $3B Windsurf acquisition strategy.
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Deep Dives·4 min
Claude Code Auto Mode Fully Explained: Classifier Mechanism, Fault Tolerance Design & Security Protection
Deep dive into Claude Code Auto Mode: how the independent Classifier reviews AI operations, three-level graceful degradation prevents system deadlocks, SubAgent triple review with Prompt Injection protection, plus setup and plan requirements.
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Tutorials·4 min
Complete Guide to Agent Observability: Tracing, Evaluation, and Red Teaming in Practice
Deep dive into Microsoft Foundry's Agent observability solution covering multi-Agent tracing, AI quality evaluation, Red Teaming security testing, and automated prompt optimization to bridge the gap between expected and actual Agent behavior.
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Deep Dives·3 min
Cursor Unlimited Refill Plugin: How It Works, Risks, and Better Alternatives
Deep dive into how Cursor's unlimited refill plugin works via multi-account rotation, its security and ban risks, plus compliant alternatives like Cursor Pro, API access, and multi-tool strategies.
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Tech Frontiers·3 min
Microsoft Revokes Claude Code Licenses: Inside the Strategic Battle Over AI Coding Tools
Microsoft revokes internal Claude Code licenses despite widespread praise, prioritizing GitHub Copilot's competitive position in the intensifying AI coding tools market battle.
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Tech Frontiers·4 min
Cognition's Acquisition of Windsurf: The Capital Power Play Behind a Weekend Lightning Deal
Cognition acquires Windsurf's core assets at lightning speed, gaining $82M ARR and hundreds of thousands of DAU. A deep dive into the OpenAI, Google, and Anthropic power plays reshaping the AI coding tool market.
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Product Reviews·3 min
GPT Image 2 vs Nano Banana 2: E-commerce Image Generation Showdown Across 5 Key Scenarios
Hands-on comparison of GPT Image 2 vs Nano Banana 2 across 5 e-commerce scenarios: posters, character consistency, nine-grid displays, scene control, and background replacement with Chinese text analysis.
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Product Reviews·3 min
BuildingAI Open Source Project Deep Dive: Building AI Apps Like Stacking Blocks
Deep dive into BuildingAI, an open source block-based AI app builder with 1600+ Stars. Explore its architecture, use cases, and how it compares to Dify and Coze.
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Tech Frontiers·3 min
Inside the SJSU Hackathon Winning Projects: A Practical Guide to Building High-Impact AI Agents
Deep analysis of SJSU hackathon-winning AI Agent projects covering architecture design, core elements, and UX optimization—a practical guide from prototype to product.
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Deep Dives·4 min
The Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
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Deep Dives·3 min
Claude Code Source Code Leak Revealed: Seven Core Mechanisms of the Harness Architecture Explained
Deep analysis of the Claude Code source code leak, revealing seven core mechanisms of its Harness architecture including context management, tool call orchestration, and state tracking for AI Agent developers.
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Product Reviews·4 min
Hermes Agent Web UI Complete Review: Kanban Feature + Desktop App Hands-On Experience
In-depth review of Hermes Agent's Web UI, Kanban board, desktop app, and Terminal UI dashboard. Compared with Claude Code, see how this free open-source AI Agent framework makes automation accessible.
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Deep Dives·4 min
Harness Engineering Explained: The Third-Generation Development Paradigm for Taming AI Agents
Deep dive into Harness Engineering: the third-gen AI development paradigm. Learn its three-layer architecture for effectively harnessing AI Agents to complete complex development tasks.
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Deep Dives·4 min
AI Guardrails Index: A Comprehensive Guide to the Most Complete LLM Safety Evaluation Framework
Deep dive into the AI Guardrails Index: the most comprehensive LLM safety evaluation framework covering PII protection, jailbreak defense, harmful content filtering, and its open-source design.
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Deep Dives·2 min
Deep Dive into Cursor's Security Review Feature: A New Standard for AI Code Security
Deep dive into Cursor's Security Review feature: two AI security agents for PR-level review and codebase vulnerability scanning, enabling shift-left security for enterprise DevSecOps.
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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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