Architectural analysis of large-context frontier models in multi-agent orchestration, examining coordination protocols, tool contracts, and state degradation.

Source audit evaluating guardrail architectures in autonomous multi-agent systems, focusing on prompt injection defense, schema validation, and tool containment.

A source audit of SQLite-Graph, evaluating Cypher query compilation, relational table layout trade-offs, and embedded Graph RAG memory architectures.

Examine why Python async code often runs slower than synchronous code, deconstructing event loop starvation, GIL contention, and structured concurrency.

Why simple while-loop agents fail beyond ten steps: designing hierarchical planner-worker delegation, deterministic state graphs, and strict verification gates.

An operational audit of agent-driven Google Workspace workflows: comparing declarative AppScript triggers with autonomous LLM document and spreadsheet pipelines.

Moving beyond unbounded chat logs: how tiering working memory, episodic summaries, and semantic indexes prevents context degradation in production AI agents.

Empirical source audit comparing vision-language document parsing against managed search APIs, examining multi-modal layout preservation in production RAG systems.

A source audit of FlexAttention in FlashAttention-3 CuTe DSL, evaluating score_mod, mask_mod block sparsity, and Hopper TMA hardware acceleration.