Alibaba Cloud x Atlas Agentic AI Hackathon at WiT Singapore 2026

Alibaba Cloud and Atlas held an Agentic AI Hackathon during WiT Singapore 2026, with three finalists demonstrating travel search, booking, payments and customer experience built with Qoder AI IDE and Atlas travel data.

This update bears on 9 kinds of work in 5 markets. Highest level accepted: L2 Partial automation.

Highest accepted

L2Partial automation

Work

9

Markets

5

Views

12.7K

The work it bears on

Highest level first. Open a kind of work to see everything else that moved it.

• L2Partial automation
  Process validate and deliver customer dataData processing and information retrieval services
  L2 Partial automationFrom the publisher only
• L2Partial automation
  Book travel services and verify vouchersTravel booking and agency services
  L2 Partial automationFrom the publisher only
• L1Assisted
  Develop business logic and service APIsApplication interfaces and business development
  L1 AssistedFrom the publisher only
• L1Assisted
  Implement web mobile and desktop interfacesApplication interfaces and business development
  L1 AssistedFrom the publisher only
• L1Assisted
  Integrate external systems and data interfacesApplication interfaces and business development
  L1 AssistedFrom the publisher only
• L1Assisted
  Implement tool use and agent workflowsModel applications and agent systems
  L1 AssistedFrom the publisher only
• L1Assisted
  Integrate models retrieval and context flowsModel applications and agent systems
  L1 AssistedFrom the publisher only
• L1Assisted
  Design routes budgets and itinerary contentTravel products and itinerary design
  L1 AssistedFrom the publisher only
• L1Assisted
  Package lodging transport and activity supplyTravel products and itinerary design
  L1 AssistedFrom the publisher only

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