The Problem: In traditional PLCs, the Functional Specification (FS) is usually a static PDF stored on a server somewhere. It rarely matches the code running in the cabinet after a few months of maintenance.
The Approach: Because JasperNode uses “reach” string tags, we can store project-relevant information directly in a README.md file alongside the logic.
Why this matters for AI: This isn’t just for humans. The AI Agent reads this markdown file to understand the intent of the system.
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Context: Before generating code, the AI checks
README.mdto understand the system boundaries and hardware setup. -
Updates: You can ask the agent to “Update the README to reflect the changes we just made to the pump logic,” ensuring documentation stays synchronised with the runtime.
