Multi-agent systems: orchestration and handoffs
Adding a second agent doesn't halve your problems, it multiplies them. Supervisor patterns, handoffs, and the real cost of splitting one agent into several.
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#agents
Posts on AI engineering, LLM systems, and software development.
Agent memory: scratchpad vs long-term store
An agent forgets everything the moment its context window ends, unless something is built to save it. Short-term scratchpad vs a real long-term store, and what's actually worth keeping.
The agent loop: plan, act, observe
Most agent failures look the same: stuck calling the same tool forever. The plan-act-observe loop, why it gets stuck, and the fixes that actually work.
Beyond vector search: hybrid, rerank, and graph RAG
When plain vector search hits its ceiling, three upgrades actually help: hybrid search, reranking, and graph RAG. When each one earns its added complexity.
From running models to building systems
Running a model and building with one are different skills. This post opens the AI Engineering series and lays out why the next nine posts exist.
Local Llms#11
Local agents and tool use
Function calling on open models in 2026. Which ones actually work, why local agents break when they break, and the scaffolding that keeps them upright.