9 steps to better #results #coding with #claudecode

nimbalyst · Intermediate ·🧠 Large Language Models ·3mo ago

Key Takeaways

The video demonstrates a 9-step process for achieving better results with Claude code, an LLM, by iteratively building context and utilizing the agent for various development tasks such as planning, architecture diagramming, data modeling, and testing.

Full Transcript

Here are nine steps to better Claude code results. Iteratively building context with your agent is the key to great output. Let me show you the best way to do this. First, write a plan document. Your goals, your use case, what success looks like, key features, key differentiation. Not a novel, a few pages. Second, have your agents build an architecture diagram. The agent reads your code, draws how the system connects together with any new features you're working on. Third, for the back end, build the data model. Do that with your agents. Build the tables, the keys, render it visually, and iterate with the agent. Fourth, for the front end, mock it up. Describe the screen, get real HTML that you can actually click through, annotate what needs to change, and go back and forth with the agent. Fifth, write the test before the implementation. Describe the acceptance criteria. Every task fails until it passes. Sixth, have your coding agents implement this based off the full context. The agent has the plan, the architecture, the mock-up, the data model, the diagrams, and the tests, and it should build everything, and does. Have it loop as it's building it. Have it loop until it passes every test and matches the plan and architecture. Eighth, review and commit. You should understand what the agent has done, review the changes, and commit to get when ready. And then nine, close the documentation loop. Update your plan, your architecture diagrams, your docs to match. Have your agent help you with all of that. All of this context is building on top of each other, connecting, accessible to you and the agent, editable by you and the agent. This is a better way to work with better results. Check out Nimble's visual workspace for building with Claude code and Codex.
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The video teaches a 9-step process for working with Claude code, an LLM, to achieve better results by building context and leveraging the agent for development tasks. This process includes planning, architecture diagramming, data modeling, mock-ups, testing, and review. By following these steps, developers can create more effective LLM-based systems.

Key Takeaways
  1. Write a plan document outlining goals, use cases, and key features
  2. Have the agent build an architecture diagram
  3. Build a data model for the back end with the agent
  4. Mock up the front end and iterate with the agent
  5. Write tests before implementation
  6. Have the agent implement the system based on the full context
  7. Loop the implementation until all tests pass
  8. Review and commit the changes
  9. Close the documentation loop by updating plans, diagrams, and docs
💡 Iteratively building context with the agent is key to achieving great output with LLMs

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