Using AI in Software Design: How ChatGPT Can Help With Creating a Solution Arch. by Ralf D. Müller

Discover how ChatGPT can aid in software design by creating solution architectures, generating code, and verifying results, with expert Ralf D. Müller sharing his insights on effective usage and limitations.

Key takeaways

ChatGPT can help with creating a solution architecture, and the speaker has had success with it.
The importance of context is high, and the speaker suggests naming key constraints, assumptions, and basic principles.
The speaker is not an AI expert, but a prompt engineer, and the goal is to create a library with a solution strategy.
ChatGPT is capable of repeating tasks, and the speaker suggests starting with a small talk to get comfortable with the system.
The system has limitations, such as token size and compression, and the speaker suggests paying for the paid model for better results.
The speaker uses the API to control the system and fix errors, and they also use custom instructions to guide the model.
The speaker suggests priming the system with a prompt and rephrasing questions to keep the context short.
ChatGPT can generate artistic images and recognize diagrams, but may not be perfect.
The speaker has used ChatGPT for documentation, DOCSIS code, and architecture, and found it helpful.
The speaker suggests providing accurate and factual answers, and that ChatGPT can be used for test-driven development.
The speaker also uses embeddings to improve the model’s understanding.
The speaker has found ChatGPT to be useful for generating code and verifying results, and for solving problems.
The speaker suggests using the paid model and controlling the context to get better results.

Using AI in Software Design: How ChatGPT Can Help With Creating a Solution Arch. by Ralf D. Müller

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