The Hidden Orchestration: 5,000 AI Interactions for 70 Features

Expose the hidden work: orchestrate thousands of AI calls behind simple UX, with monitoring to ensure reliability at scale.

Sep 29, 2025 0m 26s

Chris Rickard

Expert Insights

Chris Rickard emphasizes the significant scale of interaction required in AI-assisted software development and the tremendous workload reduction AI brings.

Chris underscores the efficiency of using AI, which allows software developers to offload the time and effort of writing thousands of prompts.

Here's what Chris elaborates on:

The surprising scale of AI interactions required for even modest-sized software systems.
The practical implications suggesting the efficiency gained in development with AI assistance.
How the use of AI significantly reduces the manual workload for software development teams, focusing on the sheer number of prompts handled by the AI instead of humans.

This system here has 70 features, but we've interacted with an LLM about 5,000 times in order to get this information here. So for a user to do that themselves, that would mean writing 5,000 prompts to an LLM.

— Chris Rickard, Founder, UserDocs

THE NEW DEFAULT angle

Here's how to optimize AI-assisted workflows for improved efficiency in software development:

Leverage AI for automating repetitive tasks. AI can offload the burden of generating multiple prompts needed for software functionalities.
Recognize the scale of AI interactions needed. Be prepared for a large number of interactions with your AI model, even for systems with fewer features.
Improve on efficiency metrics. Implementing AI can significantly reduce the time required to generate system features, so adjust your metrics accordingly.
Anticipate the strain on your existing systems. Given the high number of interactions needed with AI models, ensure your infrastructure can handle this load.