The Next Stage of Vibe Coding · Stage 3
In Step 1, you decided what to build, and in Step 2, you checked whether it was built properly. But if you have to repeat the same requests from scratch every time the task changes, successfully completing something once and working by the same standards next time are two different matters.
This course isn’t about piling on a bunch of automation tools. It’s a three-step course on connecting instructions, Skills, Hooks, and MCP to Claude Code and Codex so you can comfortably delegate work that’s fine to repeat while keeping people in charge of important decisions.
Instead of copying successful results,
leave behind a reusable process.
01 · Reframing the Problem
Conversations contain not only the plans that were adopted, but also rejected suggestions, discussions that were temporarily put on hold due to the lack of a testing environment, and improvements that were deferred for later. Readers have to determine each time what is still valid. The same goes for AI.
It’s not because artificial intelligence (AI) has a poor memory. It’s because the agreements established by the team and what the AI did last time aren’t distinguished. Step 3 is a way to decide where and in what form to record those agreements.
Once you can answer these four questions, the explanations you used to repeat become part of the project. The course works through these questions one by one in the following order: instructions, Skill, Hook, MCP, dividing roles, automation, and team sharing.
02 · From Instructions to Automated Execution
Use AGENTS.md and CLAUDE.md so both tools read the same agreements, keeping shared rules at the top and folder-specific rules nearby. Leave product rules in the specifications and have the guide point only to their location. We also look at how to distinguish what the AI remembers from what the team has decided.
Try creating a Skill that turns issues into work briefs and a Skill for preparing PRs, and check not only when things are going well but also when to stop. Have the Hook take an extra look before risky execution, then add a lightweight check after making fixes, with conditions to prevent endless repetition.
Have it directly read the necessary materials through MCP while distinguishing between being connected, logged in, able to read, and able to write, and divide the work among auxiliary agents and Worktrees. Compare session repetition, scheduled tasks, and GitHub Actions, separate personal settings from team conventions, and continue through how to measure the impact and roll back changes.
03 · One Continuous Example
We continue with the meeting room reservation service from Steps 1 and 2 exactly as it is. Over 30 lessons, we use one continuous example to see how the request repeated while reviewing the booking cancellation task is translated into instructions, Skill, Hook settings, and execution logs.
There are no coding exercises or setup tasks to follow. We read the instruction files, work procedures, settings, commands, and execution results prepared by the instructor together. Even when scripts appear in the settings, we do not explain every bit of syntax; instead, we read when they are executed, what they check, and how much authority they are granted.
The login check failures and unverified items carried over from Step 2 are brought forward as they are, without being marked as successful. The process of passing them on without hiding the unfinished parts is itself a reusable approach. Even if you haven’t taken Steps 1 and 2, you can follow along as long as the terms “specification” and “review report” aren’t unfamiliar.
We start with how to choose what to leave behind. After organizing the project guidelines, we group frequently performed tasks into Skills and use Hooks to handle checks at the necessary points. We connect external tools, divide up the work, and, once we're ready to repeat the process, run it automatically. Then, we wrap up the 30 lessons with methods for the team to use together and roll back changes.
04 · Check Before Enrolling
About 7 minutes per lesson, over 30 lessons in total, you’ll read through prepared instructions, settings, and execution logs to understand the role each plays. The course reflects information verified against official documentation as of September 2026 and focuses on decision-making criteria you can apply even when the tool’s interface changes.
That’s fine. If you’ve had experience defining specifications and reviewing results, you can start right away. When you encounter a situation where you need a case from an earlier step, we’ll briefly revisit it then and move on.
No. We’ll read through the prepared examples together. The focus is on understanding when they run, what they check, and how much access they’re granted. Knowing where to request the necessary technical review is also one of the goals.
I enhanced the instructor’s audio with AI to reduce noise and refine the pronunciation. I improved the sound quality and pronunciation so that the explanations remain clear even when listened to at 2x speed.
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