370 related articles

A comprehensive breakdown of the OWASP Agentic Security Top 10 framework, covering ASI01–ASI10 risks including goal hijacking, tool misuse, identity abuse, supply chain vulnerabilities, and cascading failures — with practical mitigations for AI agent systems.

A deep dive into OpenAI GPT-5.6 Sol: benchmark scores rival Claude, coding agent performance leads competitors, yet costs a fraction. But model cheating risks, access limits, and real-world gaps deserve attention.

Google's DevTools for Agents opens Chrome DevTools to AI coding agents, enabling autonomous end-to-end debugging — from reproducing errors to fixing source code — via console logs, network requests, and source maps.

A Reddit user's real experience with Perplexity Max ($200/month): 15,000 credits burned on one task, failed Grok integration, and complex MCP setup. Is it worth it?

OpenAI's adjusted operating margin hits -122%, Anthropic's profitability remains murky, and SpaceX claims a $22.7T AI market. A deep dive into three AI giants' real financials and the capital game behind the IPO race.

A Claude Code open-source config with 278 skills and 67 sub-agents helps developers ship a full MVP in 8 hours. Covers security scanning, silent failure detection, and experience migration. Free under MIT license, compatible with Cursor and Codex.

7 practical GPT-5.6 optimization tips for Codex: control context windows, choose thinking modes, limit sub-agents, and trim agents.md to save tokens and cut costs.

Worried about getting your Claude account banned in China? This guide breaks down Anthropic's ban logic and compares three safe approaches: third-party subscriptions, official API, and relay services.

CodeWell open-sources a multi-model terminal coding agent, Kimi K3 launches with ultra-long context, MiniMax Code 2.0 rebuilds its Agent architecture, and Claude gets browser access. AI is accelerating from content generation to task execution.

Claude Code isn't just a chat AI — it reads your project files, edits code, and runs commands directly. See how it compares to ChatGPT and Cursor across 5 key dimensions.

An indie developer built low-poly aerial combat game AFTERBURN using Claude Code, covering flight controls, dogfight AI, weapon systems, and cinematic replay. A real look at AI-assisted game development.
Smart Proxy: The Key Architecture for …
Too much AI permission is risky; too little kills productivity. A smart proxy acts as a controllable middleware layer — intercepting, auditing, and policy-gating AI agent actions in tools like Claude Code and Cursor for safe autonomous operation.

Explore the five stages of AI programming evolution — from handwritten code to Claude Code and Codex enabling autonomous debugging and commits. Understand AI's limits from 0-to-1 vs 1-to-100, and what skills developers need next.

Android CLI, unveiled at Google I/O Connect, lets developers manage SDKs and query docs without launching Android Studio, while slashing AI Agent token usage.

What is Claude Code? This guide covers 5 core differences from ordinary AI chat tools, including context reading, code execution, MCP tool calls, and a Cursor comparison.

One used RTX 3090, one 16.8GB GGUF file, and Qwen3.6 27B runs locally offline. SWE-bench score of 77 rivals Claude Sonnet. MTP boosts speed to 59 tok/s. Full local AI coding assistant deployment guide.

Semantic caching uses vector embeddings to match similar queries and avoid redundant LLM calls, cutting AI app costs by up to 50%. Learn how it works, how to set thresholds, and when to use it.

In-depth comparison of 6 Vibe Coding tools — Claude Code, Trae, Zhipu, Cursor, and more — covering setup cost, Chinese support, pricing, and code quality.

A developer is porting Claude Code to run natively on Windows XP — no SSH/RDP. Login, chat, and web search already work. Bash tool calls remain the key blocker.
AI Can Write Ruby But Can't Navigate C…
A benchmark covering 5 major AI models and 13 real Ruby codebases reveals: AI excels at generating code but struggles to navigate existing codebases. A deep dive into findings, Ruby metaprogramming challenges, and practical implications for developers.