A developer built an AI-orchestrated 3D asset pipeline that converts JPEG images into game-ready GLB files without manual Blender use. The system uses an AI agent operating Blender through the Model C…
PostHog will begin training AI models on customer data starting June 29, with users on its US cloud instance opted in by default. The company plans to use anonymized data from existing PostHog instanc…
The 2026-07-28 release candidate for the Model Context Protocol (MCP) makes the protocol stateless, requiring each request to carry its own protocol version, client info, and capabilities rather than …
A single-character bug in the Starlette open-source framework, tracked as CVE-2026-48710 and nicknamed BadHost, allowed attackers to bypass authentication on millions of servers running AI agents and …
The AI industry is experiencing a speculative bubble with US tech companies spending nearly a trillion dollars annually on AI, yet AI revenues have not reached $100 billion yearly. Despite the bubble,…
Enju is a new workflow system that treats humans, AI agents, and deterministic compute as peers on a single directed acyclic graph (DAG). The system allows any of these "citizens" to claim and execute…
Robinhood launched support for AI agentic trading and a new agentic credit card on Wednesday, allowing users to create separate accounts for AI agents that can analyze portfolios, execute stock trades…
Unspaghettit, an open-source project by Lyriks.io, launched a local-first, MCP-native tool that creates executable behavior specifications for AI coding agents. The software provides a shared, machine…
An engineer who wired eight MCP servers into a single Claude agent discovered that three pairs of tools silently collided due to the protocol's lack of built-in namespace support. The collisions cause…
Agent-sh released agent-workspace-linux, an open-source tool that gives AI agents their own isolated Linux desktop environment to control via the Model Context Protocol (MCP). The tool creates a headl…
Next.js 16 introduces MCP (Model Context Protocol), a standardized system for exposing project-level context to AI coding agents. The protocol enables progressive context disclosure, allowing agents t…
A developer built ASIL (Engineering Intelligence Infrastructure), a persistent knowledge graph that connects code, dependencies, runtime behavior, and incident history into a queryable system accessib…
A developer has built shadcncraft, a design-to-code workflow that connects Figma directly to production React code using AI. The system uses four components—a Figma kit, a React registry, and two MCP …
LogicNodes has developed a Multi-Chain Protocol (MCP) bridge that enables AI models like Anthropic's Claude to interact directly with blockchain data and services. The system leverages a network of 2,…
A developer built and benchmarked A2A protocol agents across Python, Go, Rust, and JavaScript, using the Antigravity CLI as an MCP client. The project measured the time each language spent running an …
After testing six memory providers for Hermes Agent over three weeks, a developer found that most failed silently or required external runtimes that fell out of sync with the gateway. The only provide…
A developer used Google's Antigravity 2.0 and Gemini 3.5 to build and deploy a real estate investment advisor from a napkin sketch in under 40 minutes. The project, called the "Napkin Challenge," demo…
SigNoz has released an MCP server that allows AI assistants to query observability data including metrics, traces, logs, alerts, and dashboards through natural language. The server implements the Mode…
The end of the software era has begun, replaced by the "harness era" in which companies must domesticate powerful but wild AI through seven disciplines including context retrieval, tool integration, a…
Keyblind launched an encrypted secrets vault that prevents AI agents from exposing API keys, passwords, and tokens during coding sessions. The tool resolves secrets at runtime so plaintext values neve…