From Breakdown to Breakthrough
A practical framework for turning architectural plans into working code through incremental LLM collaboration
In the first two parts of this series, we dismantled the myth of "vibe coding" and established the need to act as an architect, not a magician, by structurally decomposing problems for LLMs. Now, let's get to the fun part: turning that architectural plan into actual, working code.
The secret is to get the model to think only one step ahead. Forget massive, multi-page prompts. Your goal is to create a tight feedback loop where you are always in control.
A Simple, Powerful Framework
Here's a simple, powerful framework:
1. Define the Core Loop & Data Structures
Before you write a single line of application logic, define the foundational data. What are the key objects or variables? For a game, this might be the player state, the game board, and scoring variables. Prompt the LLM to generate just the classes or data structures for these.
2. Isolate the First Feature
What is the absolute simplest, most essential action a user can take? Not the whole login system, but just the function to check a password. Not the entire game, but just the code to place one piece on the board. Prompt for that one, isolated function.
3. Test, Iterate, and Expand
Take the code the LLM generated, test it, and integrate it. Once it's working, move to the next logical component that builds directly on the first. Each prompt should be a small, incremental step.
The Result
By feeding the LLM a clear, step-by-step roadmap, you eliminate the guesswork and dramatically reduce hallucinations. In just an hour or two, you can guide the model to produce a solid, working foundation for your application. You become the architect, and the LLM becomes your incredibly fast mason, laying each brick exactly where you tell it to.
Stay Updated
Get the latest insights on AI, chatbots, and customer engagement delivered to your inbox.