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The Design Sprint
Scope & design your AI coding assistant, then drive it live using direct interaction patterns.
Today's run
1
The Design Sprint
Students predict pass-or-crash for AI-written Python, run it at a faux terminal, read the real traceback, patch the one broken line and re-run it green — feeling the predict→run→read→patch→re-run developer loop before it is taught.
2
The Dev Loop
3
The Build–Test–Revise Loop
Judge AI-generated code against what it actually does when run — read the real failure, feed the tool precise signal, and iterate to working — in the context of building your JARVIS chat widget.
4
Working Dev Environment
70′
Can you and an AI run one full build-test-debug loop together and prove the whole toolchain works?
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Seoul AI 2026
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