AI-Native Coding Mastery for Senior Flutter Engineers: The 2026 90%-AI Workflow

how do you write code with an AI agent like Claude Code or Cursor?

You shift from typing code yourself to steering the agent with plain-English intent, feeding it the right context, and letting it generate the bulk of the implementation. The skill is describing what you want clearly and breaking work into agent-sized tasks the tool can actually complete. This course walks senior Flutter engineers through running Claude Code, Cursor, and Codex as daily drivers and orchestrating real feature work through them.

what is an AGENTS.md file and why does it matter?

AGENTS.md is a shared context file that tells your AI agent about your project's conventions, structure, and expectations, so its output fits your codebase instead of fighting it. Combined with shared repos, it's how you keep an agent grounded in the reality of your project rather than guessing. Getting this context right is often the difference between an agent that helps and one that keeps going off track.

how do you review code that an AI wrote?

You stop reading it as a typist and start reading it as a critical reviewer: checking that conventions are followed, that no secrets or security holes slipped in, and that the feature actually does what was asked. Owning UAT and sign-off becomes your real job once the agent is doing most of the authoring. This is treated here as a core senior skill, since quality ownership is what separates an AI operator from someone blindly accepting output.

what do you do when an AI coding agent gets stuck or goes in circles?

You diagnose where the agent lost the thread, tighten or re-scope the task, and give it cleaner context rather than repeating the same prompt. Recovery is a learnable skill: recognising the failure pattern, resetting the task boundaries, and steering back on course. The course covers diagnosing and recovering from stuck agents as part of building day-to-day fluency.

how do you extend an AI coding assistant beyond the basics?

You add plugins, MCPs, and Slack agents so the assistant can reach the tools and information it needs instead of working in isolation. These extensions let you connect agents into your real workflow and hand off tasks in the places you already work. Setting these up is part of moving from occasional AI use to a genuine AI-native daily practice.

can a whole team adopt AI-native coding, not just one engineer?

Yes, but it takes shared context, agreed conventions, and reviewers who own quality rather than everyone improvising. Once you've designed a personal high-AI workflow and can ship a feature end-to-end with the agent doing most of the authoring, the same patterns scale outward. Scaling AI-native practice across a team is the final stage this course builds toward.