The Model Context Protocol (MCP) is an open standard that lets models like Anthropic’s Claude and developer tools like Claude Code call out to external tools, data sources and prompts in a safe, standard way. This guide will walk you through building your own MCP server from scratch, enabling Claude Code to access custom features […]
How to Remove “Hidden Code” from ChatGPT and other LLMs
approximately 800GB of files were deleted, including the entire CursorAI application itself — after executing code generated with assistance from Gemini 3 while working inside the CursorAI IDE. As developers increasingly rely on LLMs for code generation, the consequences of unreviewed or unsafe scripts grow more severe.
Therefore, it is quite important to know how to detect and remove dangerous codes generated by LLM.
How to Use the Nano Banana Pro(Gemini 3 Pro Image) API ?
Nano Banana Pro — officially Gemini 3 Pro Image — is Google/DeepMind’s new studio-grade image generation and editing model that combines advanced multimodal reasoning, high-fidelity text rendering, multi-image composition, and studio-level creative controls. What is Nano Banana Pro and why should you care? Nano Banana Pro is Google’s newest image-generation and image-editing model — the […]
What are GPT-5.1-Codex-Max and How to Use it ?
On November 19–20, 2025 OpenAI released two related but distinct upgrades: GPT-5.1-Codex-Max, a new agentic coding model for Codex that emphasizes long-horizon coding, token efficiency, and “compaction” to sustain multi-window sessions; and GPT-5.1 Pro, an updated Pro-tier ChatGPT model tuned for clearer, more capable answers in complex, professional work. What is GPT-5.1-Codex-Max and what problem […]
What is Gemini 3 Deep Think? All You Need to Know
Gemini 3 Deep Think is a new, specialized reasoning mode in Google / DeepMind’s latest foundation model family — Gemini 3 — designed to take more time and internal “deliberation” on hard, multi-step, multimodal problems. It’s being promoted as the version of Gemini that pushes state-of-the-art reasoning and agentic problem solving further than previous releases. […]
Gemini 3 Pro vs GPT 5.1: which is better? A Complete Comparison
Both OpenAI’s GPT-5.1 and Google’s Gemini 3 Pro represent incremental but meaningful steps in the ongoing arms race for general-purpose, multimodal AI. GPT-5.1 is a refinement of the GPT-5 line — focusing on adaptive reasoning, lower latency for simple tasks, and stylistic/personality controls for more natural conversational tone. Google’s Gemini 3 Pro pushes the frontier […]
Gemini 3 Pro released: Is Gemini 3 Pro About to Crush the AI Competition?
Google has just kicked off the Gemini 3 era by releasing Gemini 3 Pro in preview, and the initial signals are unambiguous: this is a major step forward in multimodal reasoning, coding agents, and long-context understanding. The model is positioned as Google’s most capable reasoning and multimodal model yet, optimized for agentic workflows, coding, long-context […]
Grok 4.1 Released: How It Crushes Other Models
xAI quietly released Grok 4.1 (Nov 17–18, 2025) — a focused upgrade to Grok 4 that prioritizes emotional intelligence, creative expression, and reduced hallucination while keeping the razor-sharp reasoning of earlier Grok releases. It arrives in two modes (Thinking / Non-Thinking), was silently rolled out in early November, shows top leaderboard results on LMArena, and […]
GPT-5.1 vs Claude Sonnet 4.5 — Which one leads the frontier in 2025?
OpenAI’s GPT-5.1 is an incremental but product-focused update that introduces two usage-flavored variants (Instant and Thinking), extended prompt caching, and new developer tools; Anthropic’s Claude Sonnet 4.5 is a targeted upgrade oriented at coding, agentic workflows, and long-running, tool-heavy tasks. Both push agentic capabilities and improved safety, but they take different trade-offs in pricing, ergonomics […]
How to Build a MCP Server in Claude Desktop — a practical guide
Since Anthropic’s public introduction of the Model Context Protocol (MCP) on November 25, 2024, MCP has moved quickly from concept to practical ecosystem: an open specification and multiple reference servers are available, community implementations (memory servers, filesystem access, web fetchers) are on GitHub and NPM, and MCP is already supported in clients such as Claude […]










