Your agent made it to production. Now the real work begins. Agents need a stack where the model, runtime, and infrastructure are designed together. That’s what Alibaba Cloud is building — the Qwen and Wan model family, model services, and an agent-native cloud layer — with the agent computing runtime running on AMD EPYC processors. Thanks to AMD for co-hosting Alibaba Cloud Agent Builder Day in Mountain View, and to HeyGen, Pika, OpenArt AI, Tinyfish, and our investor panel from Beta Fund, Hattrick Capital, Uphonest Capital, Llama Venture, and Translink Capital for sharing the stage. 100+ registered attendees. One clear signal: the agent-native stack is here. #AlibabaCloud# #AgentBuilderDay# #AgenticCloud# #AIAgents# #ShipTheNext#

The transition to Agentic Cloud has begun. Dr. Feifei Li, CTO and President of International Business at Alibaba Cloud, shared his perspective on what lies ahead: the next three years will be defined by the rise of the Agentic Cloud, where agents can leverage products and infrastructure to carry out sophisticated tasks.

Agents should use tools that excel at what’s important for an AI model. Kitesurf is Cloudflare’s new stateless, highly scalable, and cost-effective web browser that runs entirely on top of Workers and was designed specifically for the Agentic Cloud. #AgentsWeek#

TRM Labs is hiring a Senior Cloud Security Engineer to own GCP IAM, lead TRM's FedRAMP 20x expansion, and drive the organization toward continuous, agentic cloud security posture management. If you have knowledge in Deep GCP, Terraform, and IAM experience, apply here 👉 #TRMCareers# #TRMLabs#

What does it take to power the next generation of intelligent agents? At the Qwen Conference, Dr. Feifei Li, CTO and President of International Business at Alibaba Cloud, shared the four cornerstones driving agentic applications: Models, Agentic Cloud, Tools and Services, and Performance at Scale. Together, these pillars enable agents to reason, act autonomously, leverage tools like coding to accomplish complex tasks, and operate effectively at scale.

🤖 AI writes code faster, but are we producing vulnerabilities faster? With AI generating over 40% of new code, traditional post-scanning just can't keep up. That’s why we built Qoder Security—shifting security left directly into the coding session. The Impact: • +60% vulnerability detection rate • -80% false-positive alerts • Hours to fix, not weeks From real-time regex interception to cross-file deep review, we’re embedding security natively into your workflow. 🚀Security starts with the first line of code. Try it out in Qoder Desktop & CLI today! Qoder Desktop (IDE) guide:  Qoder CLI guide:  #Qoder# #AICoding# #QoderSecurity# #CyberSecurity# #AgenticCoding#

We moved away from @cursor_ai to @claudeai Code and Codex. Not because Cursor isn't good it is. But if you're on the bleeding edge, you're moving toward coding agents that don't need an IDE at all. Here's what that has actually changed at Multimodal: The workflow used to be: engineer understands the requirement, engineers writes the code, engineer reviews the PR, repeat. The workflow now is: agentic coding drafts the PRD from existing code and roadmap context, creates the Linear tickets, writes the implementation, generates the PR stack. The engineer reviews, redirects, architects. The ratio of human judgment to human execution has inverted. We run Claude Code and Codex in tandem — they're not the same tool. One plans, the other reviews. One drafts, the other stress-tests. The ping-pong between them catches things neither would alone. What this has meant in practice: we're hitting our product roadmap materially faster with the same team size. We measure it in two ways compression in time-to-release for product features, and PR volume normalized for headcount. The honest framing: the constraint isn't gone, it's just shifted. You still need engineers who can think architecturally, who know when the agent is wrong, who can define what "done" actually means. Those people are now 5-10x more productive. The engineers who can't operate at that level who still want to write every line themselves are increasingly misaligned with how software gets built now. That's not a comfortable thing to say. But it's what's true. #AgenticCoding# #AI# #Startups# #Engineering# #ClaudeCode#