Pre-Competition Research Archive
The following posts document the research and strategic thinking behind LogoMesh during and leading up to the UC Berkeley RDI AgentBeats competition (2025–2026). This work laid the foundation for the Contextual Integrity Score (CIS) and the adversarial multi-agent evaluation framework that powers the GitHub App today.
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Your Code Has Amnesia: An Introduction to Contextual Debt
The original framing: why AI-generated code loses its "why," and what that costs.
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The Unknowable Code: Contextual Debt as a Security Liability
Why contextual debt is a legal and regulatory risk, not just a technical one.
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The Breakthrough: The Cyber-Sentinel Agent
Introducing the multi-agent evaluation architecture and the "glass box" approach.
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The Developer Tooling Opportunity
Market thesis: context, not code, is the new bottleneck in the AI coding era.
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Architecting Resilience: A Proposal for the Contextual Integrity Score
The formal framework behind CIS — Rationale, Architectural, and Testing Integrity scores.
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Project Plan: AgentBeats Green Phase
The 6-week build plan that took LogoMesh from concept to 1st-place finish.
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Project Phoenix: The LogoMesh Hard Reset
Honest accounting of the original codebase failures and the architectural principles we enforced.