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Intro

Module 1 walks through launching an AI-assisted development workflow: setting up the Zencoder tooling, partnering with specialized agents, and shipping a team productivity tracker while keeping quality signals in place for scale.

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Video lesson

Course on Udemy
Preview lesson. The full video is available on Udemy.

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Key takeaways

  • Install the Zencoder extensions in VS Code and JetBrains, and tailor the workspace so the agent panel and files stay visible together.
  • Kick off new projects by asking the agent discovery questions to surface best practices, feature ideas, and a recommended stack before coding.
  • Let the Code Agent scaffold a React + Vite + TypeScript codebase, handling terminal commands, folder structure, and initial configuration.
  • Use the Web Dev Agent to craft UI components, polish styling, and verify responsiveness via live browsing, screenshots, and viewport checks.
  • Iterate feature-by-feature—team member sidebar, task cards, filters, modals, stats, search, and progress bars—letting agents reuse and extend existing files.
  • Rely on the Unit Test Agent to introduce Vitest, seed meaningful coverage for task creation, filtering, and status updates, and keep tests green.
  • Leverage the End-to-End Test Agent to script Playwright flows that exercise adding, filtering, completing, and searching tasks like a real user.
  • Generate a repo.md with the Repo Info Agent so later coding sessions start with instant context instead of re-reading the entire codebase.