// latest_posts
Thoughts on AI engineering, agents, and security.
SecurityAgents
The inverse of securing agents: building an agentic system that runs a traditional red-team engagement. Recon, enumeration, exploitation, and reporting as an agent loop, with scope enforcement and human gates as the core architecture.
AgentsArchitecture
An agent whose only memory is the context window restarts from near-zero every time it compacts. Here is how to give agents memory that lasts: working, episodic, and semantic memory, write-time fact extraction, and hybrid retrieval, plus the failure modes that break naive RAG-as-memory.
Agents
Anthropic's 'Building Effective Agents' draws a hard line between workflows and agents. Here is what each pattern - prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer - looks like in practice, and how to choose the simplest one that works.