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Event Recap: From AI Demo to Production｜Engineering Practices for Agent and AI Native Applications
Read the storyA recap of the 'From AI Demo to Production' offline event held in Shanghai on August 1st, featuring four guests sharing engineering practices on persistent Agent memory, multi-model collaboration, Vibe Coding, and Agent execution environments.
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More from T Salon
Every story is edited before publication and keeps a clear source and context.
Industry insight · 2026.07.21
Agent Swarm Rewrites SQLite: Deep Dive into 5 Fatal Flaws and Architectural Reorganization
An in-depth analysis of the latest Agent Swarm experiment. By leveraging tree decomposition, a custom high-speed VCS, neutral merge agents, and a stigmergic Field Guide, the swarm reached an 80% SQLite (Rust) test pass rate in four hours and eventually achieved 100%.
Industry insight · 2026.07.20
Hugging Face Hacked by Autonomous AI Agent: The Backlash of Alignment in Forensics
Hugging Face disclosed an attack involving thousands of operations launched entirely by an autonomous AI agent framework. Ironically, during defense and forensics, the "safety guardrails" of commercial LLMs hindered the investigation, revealing new challenges in AI security.
Industry insight · 2026.07.20
NVIDIA Open Sources Cosmos 3 Edge: How a 4B Parameter World Model is Reshaping Embodied AI
NVIDIA officially open-sources Cosmos 3 Edge. This lightweight 4 billion parameter model is not just a vision model, but a true "world model" built for edge devices, enabling robots to understand physical laws and generate actions in real-time without the cloud.
Field note · 2022.05.10
Modern Frontend Engineering in Shenzhen — Five Practical Lessons
In May 2022, five engineers joined T Salon in Shenzhen to share practical work on frontend observability, Flutter, mini programs, engineering systems and Webpack performance.
Community news · 2022.04.25
Why We Started T Chat — Inside Real Engineering Work
T Salon and Laosiji Weekly launched T Chat, an online conversation series where experienced engineers share the reality of their teams, systems and individual practice.