Course of Spec-Driven Development with Research, Plan, Implement (RPI)

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Rafa GómezJavier Ferrer

By Rafa Gómez y Javier Ferrer Artificial Intelligence y Methodologies and good practices

Learn to apply RPI to reduce the gap between the code you expect and the code you get.

⭐ Exclusive course from Codely Pro Premium.

This course is only available if you have a Codely Pro Premium account. You can modify your account to this mode from here, selecting Premium and using the same email with which you have an account on this platform.

💸 First lesson available without registration 💸

"AI does not write code the way I would", is a typical statement and that is not a problem of the model. It is a smell that we are not giving it enough harness to work under optimal conditions.

SDD (Spec-Driven Development) consists of developing from a detailed specification instead of a loose prompt, and RPI (Research, Plan, Implement) is the specific way in which we execute it. Research of the code, plan, and only then implementation.

This was our turning point to increase the success ratio when programming with AI. The key is to correct deviations before a single line of code exists , when changing direction is still almost free.

And this goes well beyond plan mode. Plan mode is great, but we can boost it so that it persists over time and holds up for much bigger tasks .

In this course you will learn to:

  • 🔎 Apply SDD with RPI to keep AI on a short leash without losing your team conventions, code quality, or architecture rules.
  • 📝 Make the most of Plan mode and detect where the out-of-the-box one falls short in Claude Code, Cursor, VS Code + Copilot…
  • 🧩 Move from temporary conversations to defined tasks
  • 🤖 Use subagents to speed up the creation of the plan and apply task-blind research to improve its quality.
  • 🚑 React when plans go sideways halfway through the implement.

In addition to adding real examples of how we use it in our day-to-day at Codely.

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