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Module 21 Milestone Closure — Kaggle Vibe Coding Course

Module Metadata

  • Module: 21 — Kaggle AI Agents Vibe Coding
  • Date: 2026-06-17
  • Final Status: CLOSED (Local-First Verified)
  • Target Environment: Local (MOCK_MODE=true) + Antigravity CLI + ADK
  • Cloud Cost Incurred: $0.00 (Zero cloud resources provisioned)

1. Executive Summary

This document marks the official, local-first completion of Module 21 (Kaggle 5-Day AI Agents Intensive Course). In compliance with the project's safety boundary (SAFETY_BOUNDARY.md) and resource limits, all codelab assignments, agent builds, and tool integrations were successfully simulated, scaffolded, implemented, and verified in a secure local environment.

By executing the entire workflow locally, we avoided all risks associated with cloud budget overruns, raw API key exposure, and unverified runtime integrations, while delivering a fully functional prototype ready for staging.

2. Completed Deliverables & Evidence

Across the course curriculum, the following outcomes were produced and verified:

Deliverable / Day Scope Verification Evidence
Day 1: Intro & Vibe Coding Course mapping, environment setup, and mock local server scaffolding. DAY_1_EVIDENCE.md
DEVTOOLS_CHECKLIST_DAY1.md
Day 2: Agent Tools & APIs MCP server configuration and Google Developer Knowledge search documentation integration. DAY_2_EVIDENCE.md
DEVTOOLS_CHECKLIST_DAY2.md
Day 3: Agent Skills & Graph Scaffolding, implementation, and playground testing of customer-support-agent graph. DAY_3_EVIDENCE.md
DEVTOOLS_CHECKLIST_DAY3.md
Official Citation Integrated Kaggle intensive course citation in module documentation. README.md
Manual Review Gate Established compliance guidelines and checklists for future Cloud Run migrations. MODULE_21_STAGE_3_MANUAL_REVIEW_GATE.md

3. Key Technical Achievements

  • ADK 2.2.0 Compatibility Resolution: Adapted the customer support agent imports and edge declaration logic to align with ADK 2.2.0 package structures, eliminating deprecated Edge.chain methods.
  • Event Value Propagation Fix: Resolved a state passing bug by changing Event constructor parameters from data (unrecognized/ignored by the Pydantic validator) to output. This allowed user query payloads to correctly propagate through the workflow graph and feed the downstream LLM agents.
  • Interactive Playground Validation: Started the ADK Dev Server (adk web) locally to test the compiled graph, verifying that queries route correctly to shipping_faq or handle_unrelated based on dynamic classifications.

4. Safety & Boundary Confirmation

In strict adherence to SAFETY_BOUNDARY.md and AGENTS.md guidelines:

  • No Secret Leaks: Checked and confirmed that no active Google Cloud credentials, API keys, or .env files were tracked or committed.
  • No PHI: Confirming zero patient data or e-Nabız medical exports were accessed, requested, or stored.
  • Working Tree Hygiene: Removed all .venv, .ruff_cache, and __pycache__ artifacts from the source directories before commit.

5. Transition Path to Stage 3 (Cloud Run)

If a decision is ever made to transition this module to a live GCP environment, the following gate constraints must be met:

  1. Complete all checkmarks in MODULE_21_STAGE_3_MANUAL_REVIEW_GATE.md.
  2. Configure a restricted Google Cloud API key with access limited only to the Developer Knowledge API and Semantic Search API.
  3. Provision GCP Secret Manager to inject the API key as an environment variable in the Cloud Run service container, preventing local key persistence.