Agentic Coding Workflows with Qoder CLI and Quest Mode

Hosted by Hang Yu

What you'll learn

Distinguishing autonomous AI coding from co-pilot approaches

See how Quest mode operates independently in the background, and understand how this differs from interactive agents

Identifying when autonomous coding is preferable to co-pilot

Identify scenarios and task where delegating to autonomous agents produces better outcomes than real-time collaboration.

Applying autonomous workflows to production code

Examine actual production use cases that demonstrate how autonomous AI coding handles real-world development tasks.

Why this topic matters

Most AI coding tools work as co-pilots. Qoder CLI and Quest mode take a different approach: autonomous coding where you delegate tasks to AI agents that execute in the background. I'll demo the workflow, explain when autonomous beats co-pilot, and share real production use cases.

You'll learn from

Hang Yu

Product Lead for Qoder @ Alibaba

Hang Yu leads product for Qoder, Alibaba's AI coding platform. Previously a software engineer at Meta and AI startup founder, he focuses on autonomous coding capabilities that let developers delegate tasks to AI agents.

Previously at Meta, Startup founder

Meta
Alibaba.com