Studio Hyra University
Assisted Coding
How to build production-quality software with AI as your co-pilot.
12 lessons · ~45 min · Intermediate
Lesson 01
What Assisted Coding is
AI doesn't replace the developer. It amplifies them. Assisted Coding is the methodology that makes this work reliably.
Quick Win
Open VS Code. Install Claude Code. You just took the first step.
Lesson 02
Track A vs Track B
Not every project needs the same approach. Track A is fast and light. Track B is structured and scalable.
Quick Win
Think about your next project. Is it a Track A or Track B? That decision alone saves you weeks of wrong assumptions.
Lesson 03
The setup
The right environment makes everything faster. Here's exactly what to install and configure.
Quick Win
Follow these six steps. Total setup time: about 30 minutes. After that, you're ready to build.
Lesson 04
Skills and agents
AI agents are only as good as the context you give them. Skills are reusable instruction sets that make agents consistent.
Quick Win
Create a SKILL.md file in your project. Describe your tech stack, coding conventions, and file structure. Your AI agent just got 10x more useful.
Lesson 05
MCPs as intelligence
MCPs connect your AI agent to external systems. Database, deployment, APIs. The agent stops working in a vacuum.
Quick Win
Connect one MCP to your project. Start with Supabase if you use a database. The moment your agent can query your own data, everything changes.
Lesson 06
Documentation as backbone
Without documentation, the AI loses context every session. Good documentation is what separates assisted coding from random prompting.
Quick Win
Create a restart.md in your project root. Write three things: what you're building, what's done, and what's next. Update it at the end of every session.
Lesson 07
Phased building
Don't throw the whole project at the AI at once. Break it into phases. Each phase has a clear goal, gets tested, and becomes the foundation for the next.
Quick Win
Take your current project. Break it into three phases. Define what 'done' looks like for each one. You just made the project 3x more manageable.
Lesson 08
The second pass
Let the AI review its own work. It costs tokens. It prevents disasters.
Before second pass
Works on the happy path. Missing error handling on two endpoints. Inconsistent naming in the API layer. One component duplicates logic from another.
After second pass
Error handling on all endpoints. Naming standardized. Duplicated logic extracted into a shared utility. Edge cases covered.
Quick Win
After your next build session, add one prompt: 'Review everything you just built. Check for inconsistencies, missing edge cases, and anything that doesn't match the requirements.' Watch what it finds.
Lesson 09
Prompt discipline
How you talk to the AI determines what you get back. Good prompting isn't about magic words. It's about clarity and structure.
Vague prompt
Structured prompt
Quick Win
Take your last AI prompt. Rewrite it with three additions: what the context is, what good output looks like, and one thing to avoid. Run it again. Compare the results.
Lesson 10
Quality without slowing down
Speed and quality aren't opposites. The methodology is designed so that going fast doesn't mean cutting corners.
Quick Win
After your next phase, ask yourself: would I deploy this? If the answer is 'almost,' run a second pass. If the answer is 'no,' the phase was too big. Break it up.
Lesson 11
When it goes wrong
AI makes mistakes. The methodology is designed to catch them before they cost you.
Quick Win
Think about the last time an AI tool gave you something wrong. Which part of the methodology would have caught it? That's your weakest link. Strengthen it first.
Lesson 12
What comes next
Assisted Coding is a foundation. Where you take it depends on what you're building.
Quick Win
Pick one thing from this course that you haven't tried yet. Do it this week. That's how methodologies become habits.
Ready to build?
Whether you want to adopt the methodology yourself or bring us in to help, the next step is a conversation.