Description
This source-listed course explores agent-assisted software development under the Devin Desktop name. The stated workflow begins with installation and configuration, then turns a product-requirements document into implementation tasks, generated code, tests and previews. Lessons also examine existing codebases and use an assistant to investigate bugs and make changes.
The outline describes model selection, project rules and structured workflows as controls on assistant behaviour. It also includes GitHub integration, external tool connections through MCP and coordination of local and cloud agents. The course title's former-Windsurf and rebranding language is retained as source identity, while the draft makes no independent claim that the named product transition or every described feature has been verified.
Intended audience: Developers, QA engineers and DevOps professionals exploring AI-assisted workflows. Technical leads interested in agent-based development practices.
What you will learn
- Translate written product requirements into a sequence of coding tasks.
- Use the demonstrated assistant workflow to develop code, tests and previews.
- Explore and debug an existing codebase with agent assistance.
- Examine project rules, model selection, GitHub connections and external tool integration.
Course specifications
- Publisher
- Udemy
- Instructors
- Valentin Despa, Valentin Despa – Support
- Language
- English
- Level
- All Levels
- Duration
- 2 hours and 6 minutes
- Subtitle
- Not Available
- Quality
- 1080p
- Edition
- 2026-7
Course topics
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Prerequisites
- Permission to install development tools locally.
- A GitHub account.
- An account for the coding environment used by the course; the source requirement still names Windsurf.
Pictures
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Introduction video
How to open the files
Keep all parts of the same edition together before extracting the first archive. Open the included course media with a compatible player.
Download resources
Choose one edition and keep its parts together. Alternate providers are available when listed.
Size
1.97 GB
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