Figma has unveiled some new design and coding product updates at its annual Config conference that aim to help creatives "push their ideas further" and automate tedious tasks with AI. Part of this is a reimagined canvas that's now optimized for full-stack development, according to Figma, bringing teams, AI agents, tools, and materials "together in one place."
Notable callouts include coding layers that let you tweak the code of your projects without leaving the Figma Design canvas, and AI-generated motion graphics effects, which allow you to make animations and transition effects by simply describing them to Figma's chatbot interface. You c …
Read the full story at The Verge.
The Legal Context Protocol could redefine AI-driven commerce by ensuring legal enforceability, potentially stabilizing a $15 trillion market.
The post Google, IBM and Circle back new legal standard for AI agents appeared first on Crypto Briefing.
World expands AgentKit for verified AI agents using World ID. AI agents can act online on behalf of verified human users. System aims to prevent bots while enabling trusted automation. World is expanding access to AgentKit, its framework designed to create human-verified AI agents and allow individuals to connect those agents to a verified World […]
The post World expands AgentKit to connect human verified AI agents to World ID appeared first on CoinJournal.
AI-driven autonomous payments could revolutionize business models by enabling real-time, usage-based pricing and enhancing stablecoin utility.
The post Coinbase enables agentic checkout for all Payments APIs, letting AI agents spend crypto autonomously appeared first on Crypto Briefing.
AI agents are software that can act on your behalf, and a growing slice of crypto exists to let them pay for things on their own. The link is a revived web standard called x402, which turns any online service…
In this tutorial, we build a fully offline Graphify pipeline that turns a multi-module Python application into a knowledge graph. We install Graphify, generate a connected sample app, and extract the graph locally using tree-sitter, with no API key or LLM backend. We load graph.json into NetworkX and analyze file types, relationship types, centrality scores, community detection, and shortest paths. We then create static and interactive visualizations to see how modules, classes, functions, and database objects connect.
The post Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations appeared first on MarkTechPost.
Anthropic launched a beta version of its Claude Tag feature for Enterprise and Team tiers, shifting its chat model into shared Slack channels. Moving away from traditional isolated chat boxes, users pull the artificial intelligence model into active group threads by typing @Claude. The integration allows any team member in the channel to delegate a task, review […]
The post Anthropic drops ‘workplace AI agents’ directly inside Slack appeared first on AI News.
