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Building a Multi-Agent Courtroom System to Automate Documentation Updates for Code Changes

By

jmtulloss

4mo ago· 12 min readenInsight

Summary

Falconer is developing a shared memory layer for cross-functional teams to maintain evolving organizational knowledge. The company addresses 'documentation rot'—where code changes outpace documentation updates—by creating a multi-agent courtroom simulation system that automatically determines when code changes require documentation updates. The system uses a legal framework metaphor to make binary decisions under uncertainty, with different AI agents playing roles like judge, prosecutor, and defense to evaluate code changes and propose documentation updates.

Key quotes

· 5 pulled
Documentation rot is a term used a lot by our users. The code changes, documents go stale, and the knowledge that was once accurate becomes a liability.
Many tools now allow users to find information with AI. But findability alone doesn't e
How we built a multi-agent courtroom simulation to decide when code changes require documentation updates—and why the legal system is humanity's best framework for binary decisions under uncertainty.
Shared knowledge—decisions, plans, documentation, processes—is a living, breathing resource that evolves as companies do.
Falconer is building a shared memory layer for cross-functional teams and their agents to maintain their shared knowledge.
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How we built a multi-agent courtroom simulation to decide when code changes require documentation updates—and why the legal system is humanity's best framework for binary decisions under uncertainty.

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