AI-Native Development Mastery for Flutter Engineers
Become power users of AI coding tools (Claude Code, Cursor, etc.) to boost development velocity — able to build custom agents, wire up MCP servers, and steer these tools at an expert level in their daily workflow
Meet Sunny
Sunny
AI-Native Development Mastery for Flutter Engineers. Become power users of AI coding tools (Claude Code, Cursor, etc.) to boost development velocity —…
10 units · 44 lessons
What’s inside
Course
- Foundations of AI-Native Development
- Prompting and Steering Like a Power User
- Mastering Claude Code in Daily Flutter Work
- Mastering Cursor and IDE-Native AI
- The Model Context Protocol (MCP)
- Building Custom Agents
- Workflow Integration and Team Adoption
- The Forward-Looking Edge
- Account expansion
- Account expansion
1 phase · 10 units · 44 lessons
Questions about this course
how do you get better results from AI coding tools like Claude Code and Cursor?
Better results come from steering the tool deliberately rather than accepting its first draft: giving it clear context about your codebase, describing the outcome you want, and correcting it in tight loops instead of one giant prompt. Prompting like a power user means treating the model as a collaborator you can guide, not a search box. This course drills that steering skill specifically for daily Flutter work.
what is the Model Context Protocol (MCP)?
MCP is a standard way to connect AI coding tools to external context and capabilities — letting an assistant reach your files, services, and tooling through a defined interface rather than copy-pasted snippets. Wiring up an MCP server gives the model reliable access to the information it needs to reason about your project. The course walks through connecting and using MCP servers in a real Flutter setup.
how do you build a custom AI agent for coding tasks?
A custom agent is an AI assistant configured for a specific, repeatable job — you define its instructions, the context it can see, and the tools it can call, then let it run through a task with less hand-holding. The skill is scoping the agent narrowly enough to be reliable while giving it enough access to be useful. Building custom agents for Flutter workflows is a core part of this course.
how can a development team actually adopt AI coding tools day to day?
Adoption sticks when the tools are woven into the existing workflow rather than bolted on: shared prompting conventions, agreed places where the AI helps, and habits the whole team practices together. Individual velocity gains fade unless the team standardises how they steer and review AI output. This course covers workflow integration and team adoption alongside the individual skills.
when should you use an IDE-native AI assistant versus a terminal-based one?
IDE-native assistants like Cursor keep you inside your editor with tight awareness of the file you're on, which suits inline edits and quick iteration. Terminal-first tools like Claude Code shine for multi-step tasks that span files and commands. Knowing which to reach for is a judgement this course builds through hands-on Flutter examples.