GoDaddy launches DNS identity system for AI agents, LegalZoom signs on

https://fed.brid.gy/r/https://nerds.xyz/2026/04/godaddy-dns-identity-ai-agents/

Cursor 3 abandons its code editor roots for agent orchestration, dispatching multiple AI coding agents across local and cloud machines. The shift comes as Claude Code reportedly holds 54% of the AI coding market. Early users cite speed gains but flag cost concerns - one spent $2,000 in two days. Signals broader move from copilots to autonomous agent fleets. #AIcoding #DevTools #AIagents

https://www.implicator.ai/cursor-3-shifts-to-agent-orchestration-as-claude-code-claims-54-of-coding-market/

Cursor 3 Shifts to Agent Orchestration Amid Market Pressure

Cursor 3 replaces the code-editor design with an agent-orchestration platform as Claude Code captures 54% of the AI coding market. With $2 billion in revenue and a $29.3 billion valuation, the company bets combining IDE heritage with agent dispatch can differentiate it from rivals.

Implicator.ai

KREA AI (@krea_ai)

Krea Skills가 소개되었습니다. 이제 어떤 에이전트든 단 한 번의 명령으로 Krea를 사용할 수 있으며, `npx skills add krea-ai/skills`로 쉽게 추가할 수 있습니다. AI 에이전트와 Krea 연동을 간소화하는 개발 도구 업데이트로 보입니다.

https://x.com/krea_ai/status/2039715727733866848

#krea #aiagents #developertools #opensource #automation

KREA AI (@krea_ai) on X

introducing Krea Skills. any agent can now use Krea with just one command. npx skills add krea-ai/skills

X (formerly Twitter)

Qwen (@Alibaba_Qwen)

Qwen3.6-Plus가 ‘실세계 에이전트’를 목표로 공개되었다. 네이티브 멀티모달 에이전트와 더 똑똑하고 빠른 에이전틱 코딩을 강조하며, AI 에이전트 기술의 주요 진전으로 보인다.

https://x.com/Alibaba_Qwen/status/2039705104723611829

#qwen #agenticcoding #multimodal #aiagents #llm

Qwen (@Alibaba_Qwen) on X

(1/8)🚀 Introducing Qwen3.6-Plus: Towards Real-World Agents! 🤖 Today, we’re thrilled to drop a major milestone in our journey toward native multimodal agents. Here is what makes Qwen3.6-Plus a game-changer: 💻 Next-level Agentic Coding: Smarter, faster execution. 👁️

X (formerly Twitter)

Cursor (@cursor_ai)

Cursor가 Composer 2라는 고한도 프런티어 모델을 공개했고, 클라우드 기반으로 에이전트에게 자체 컴퓨터를 제공한 데 이어, Cursor 3에서는 소프트웨어 작업을 위해 에이전트와 협업하는 새로운 인터페이스를 출시했다. 에이전트 중심 개발 환경의 큰 업데이트다.

https://x.com/cursor_ai/status/2039768517604692013

#cursor #aiagents #softwaredevelopment #llm #productlaunch

Cursor (@cursor_ai) on X

We recently launched Composer 2, a frontier model with high limits. Then, with cloud, we gave agents their own computers so they can work truly autonomously. And now with Cursor 3, we’re releasing a new interface to collaborate with agents on software. https://t.co/Ww3CHlEnWy

X (formerly Twitter)

For agent workflows that need to read documents, do you prioritize speed or accuracy?

GLM-OCR just went open-source (https://github.com/zai-org/GLM-OCR), and I'm curious how people weigh local vs. cloud OCR. My take: cloud wins on quality, local wins on privacy and cost. But with models improving fast, that gap might be closing.

What's your experience? For production agents, is local OCR viable yet?

#OpenSource #AI #OCR #DevTools #AIAgents

GitHub - zai-org/GLM-OCR: GLM-OCR: Accurate × Fast × Comprehensive

GLM-OCR: Accurate × Fast × Comprehensive. Contribute to zai-org/GLM-OCR development by creating an account on GitHub.

GitHub

For agent workflows that need to read documents, do you prioritize speed or accuracy?

GLM-OCR just went open-source (https://github.com/zai-org/GLM-OCR), and I'm curious how people weigh local vs. cloud OCR. My take: cloud wins on quality, local wins on privacy and cost. But with models improving fast, that gap might be closing.

What's your experience? For production agents, is local OCR viable yet?

#OpenSource #AI #OCR #DevTools #AIAgents

GitHub - zai-org/GLM-OCR: GLM-OCR: Accurate × Fast × Comprehensive

GLM-OCR: Accurate × Fast × Comprehensive. Contribute to zai-org/GLM-OCR development by creating an account on GitHub.

GitHub
Code like a PIRATE with Junie and GoLand | The GoLand Blog

In this fun, pirate-themed guide, John Arundel shows you how to use Junie in GoLand with a six-step PIRATE workflow to plan, iterate, review, assess, test, and improve AI-assisted coding.

The JetBrains Blog

135,000 OpenClaw instances exposed across 82 countries. 12,812 exploitable via RCE.

The fix takes 60 seconds. Three permission layers, one JSON file. Controls who messages your bot, which tools it has, and whether it can run shell commands.

https://clawhosters.com/blog/posts/openclaw-permissions-access-control-guide

#OpenClaw #AIAgents #Security #InfoSec

AI Agent Security: OpenClaw Permissions Guide | ClawHosters

Lock down your OpenClaw instance with three permission layers. Practical config for dmPolicy, tool restrictions, and exec security. 60-second setup.

ClawHosters