# mcp

Figma's MCP server now lets AI agents like Claude Code and Codex work directly on the design canvas using your team's design system. With skills (markdown instruction files), agents follow your conventions, components, and variables — turning static design guidelines into rules that agents actually obey.

Anthropic launches Claude Code Channels with native Telegram and Discord support, turning Claude Code into a 24/7 always-on AI agent. VentureBeat calls it the OpenClaw killer.

Someone took the Claude Certified Architect exam content and broke it all down — five domains, core concepts, anti-patterns, and hands-on suggestions. The certificate doesn't matter; the knowledge does.

DataTalksClub founder Alexey Grigorev shared the full syllabus for his AI Engineering Buildcamp — six modules covering LLM APIs, RAG, Agentic Flows, Monitoring & Guardrails, Evaluation, and a Capstone project. It's one of the most complete learning paths for building agentic AI applications in production.

A hot HackerNews project called Context Mode uses sandbox isolation and smart retrieval to block bloated tool outputs from flooding LLM context windows — claiming up to 98% token savings!

Karpathy argues that CLIs are the most natural interface for AI agents — precisely because they're 'legacy' tech. Text in, text out. He demos Claude building a Polymarket terminal dashboard in 3 minutes via CLI, then drops the mic: every product should ask itself — can agents access and use it? CLI, MCP, markdown docs. It's 2026. Build. For. Agents.

Simon Willison doubles down on his stance: CLI tools beat MCP in almost every scenario for coding agents. Lower token cost, zero extra dependencies, and LLMs natively know how to call --help. Anthropic themselves proposed a 'third way' with code-execution-with-MCP, acknowledging MCP's token waste problem. This article breaks down the full MCP vs CLI trade-off, including a real-world case study from the ShroomDog team.

New paper: comprehensive security threat modeling of MCP, A2A, Agora, ANP (4 major AI agent protocols). Finds 12 protocol-level risks, including MCP being tricked 73.3% into calling wrong tool providers. Important for Claude Code, OpenClaw, Cursor users.

Figma & Anthropic launch 'Code to Canvas,' converting Claude Code UI to editable Figma frames & back, ending "screenshot-to-Slack" workflows. With Figma stock down 85%, is it self-preservation or boosting Anthropic?

Fintool/Doctrine founder Nicolas Bustamante dissects the SaaS crash, using a decade of experience. He identifies 10 moats, analyzing which LLMs destroy vs. survive. His verdict: 5 key competitive moats are destroyed. He also offers a 3-question framework for SaaS survival.

Nicolas Bustamante — founder of Doctrine (Europe's largest legal information platform) and Fintool (AI equity research competing with Bloomberg/FactSet) — dissects 10 classic moats of vertical software from both the disrupted and disrupting sides. 5 moats destroyed by LLMs, 5 still standing. Includes a three-question risk assessment framework for evaluating your SaaS holdings.

Claude Code creator Boris Cherny posted a 12-tweet thread breaking down why engineers love Claude Code: extreme customizability — hooks, plugins, LSPs, MCPs, skills, custom agents, output styles, 37 settings, 84 env vars, all committable to git for team sharing.

Hook up Codex as an MCP server inside Claude Code with a single command. Why fight Codex CLI's rough edges when you can plug its brain into a better body?

Karpathy: AI agents (DeepWiki MCP + GitHub CLI) can surgically extract library functionality, eliminating full dependency installs. Claude extracted fp8 from torchao in 5 min, 150 lines, 3% faster. "Libraries are over, LLMs are the new compiler." Future: "bacterial code."

Google just launched the Developer Knowledge API and an official MCP Server (Public Preview) that lets AI coding tools query the latest Google docs—Firebase, Android, Google Cloud, Chrome, you name it. No more debugging AI-generated code that uses APIs from three versions ago or functions that literally don't exist.

Nicolas Bustamante argues LLMs are ending Ben Thompson's Aggregation Theory. With chat as the universal interface, SaaS companies' moats built on 'workflow complexity + user muscle memory' evaporate, leading to pure API vs API commodity competition.