OpenCoreDev Releases Domain SDK 0.2.0: One TypeScript API to Add, Verify, and Remove Customer Domains Across Five Platforms
Custom domains are a standard SaaS feature. Yet every hosting platform exposes a different API for them. OpenCoreDev has published Domain SDK, a TypeScript client that normalizes that work. Version…
Mistral Vibe for Code vs Claude Code vs Cursor vs Codex: Four Agents Scored on One Scaffold-to-PR Task
Coding agents are the most contested category in developer tooling right now. Four names dominate the shortlist: Mistral Vibe for Code, Claude Code, Cursor, and OpenAI Codex. Each claims to…
Meet Blume: An Open-Source, Zero-Config Documentation Framework That Ships AI-Ready Docs From a Markdown Folder
Hayden Bleasel, an expert developer from OpenAI, released Blume, an open-source documentation framework. Blume shipped to npm as version 1.0.3 the same day. It is as simple as Drop Markdown…
Mistral AI Releases Robostral Navigate: An 8B Model Enabling Robots to Navigate Complex Environments Using a Single RGB Camera
” title=”Robostral Navigate interactive explainer” loading=”lazy” scrolling=”no” style=”width:100%;height:600px;border:0;overflow:hidden;display:block;”> Built From the Ground Up Notably, Robostral Navigate does not rely on existing open-source VLMs. Instead, it starts from Mistral’s vision-language model…
Anthropic Claude Sonnet 5 vs Sonnet 4.6 vs Opus 4.8: Agentic Coding Benchmarks, API Pricing, and Cost-Performance Tradeoffs Compared
Anthropic just shipped Claude Sonnet 5. They call it its most agentic Sonnet model yet. It plans, drives browsers and terminals, and runs autonomously across long tasks. Sonnet 5 is…
Skyfall AI Releases MORPHEUS: A Persistent Enterprise Simulation Benchmark That Makes Continual Reinforcement Learning Necessary Under Structured Non-Stationarity
Most reinforcement learning benchmarks reset the world after every episode. Real operations never reset. Skyfall AI’s MORPHEUS targets that gap. It is a persistent enterprise simulation platform for continual reinforcement…
Building a VideoAgent-Style Multi-Agent System: Intent Parsing, Graph Planning, and Tool Routing for Video Editing Tasks
def tool_shot_planner(instruction, captions): “””Global-aware storyboard sub-queries from instruction + caption bank.””” bank = “; “.join(sorted({c[“caption”] for c in captions})) if llm.available(): sys_p = (“You are VideoAgent’s Shot-Planning Agent. Given the…
Stanford Researchers Introduce TRACE: A Capability-Targeted Agentic Training System That Turns Recurrent Agent Failures Into Synthetic RL Environment
Agentic LLMs often fail the same way, again and again. A Stanford research team traced this to missing, reusable capabilities. Their system, TRACE, diagnoses those gaps and trains for them…
Prime Intellect Releases Verifiers v1: Composable Tasksets, Harnesses, and Runtimes for Agentic RL Training and Evaluations
Prime Intellect launched verifiers 0.2.0. It previews a rewritten core, shipped under the new verifiers.v1 namespace. Modern evaluations now run coding agents with tools, compaction, and subagents. Accordingly, v1 rebuilds…
Meet NeuroVFM: A New Neuroimaging Foundation Model Trained With Vol-JEPA on Uncurated Clinical MRI and CT Volumes
Frontier models learn mostly from public internet data. However, clinical neuroimaging rarely appears there, because MRI and CT scans contain identifiable facial features. Consequently, general models underperform on brain-imaging tasks.…









