AI Stack Engineer
Overview
Curator and analyst focused on the practical implementation, optimization, and architecture of AI systems in software engineering. Specializes in bridging the gap between theoretical AI capabilities and production-ready engineering workflows.
Core Topics & Areas of Interest
- AI Agent Architectures: Design patterns for autonomous coding agents, tool-use, and long-horizon planning.
- Context Window Optimization: Strategies for managing token usage, including persistent memory systems to mitigate “cold start” latency and cost.
- Tooling Ecosystem: Evaluation of LLM interfaces, IDE integrations, and specialized models (e.g., claude, gemini).
- Local & Edge Deployment: Analysis of efficient models for offline inference, such as Gemma 4 12B Coder: Multimodal Reasoning and Python Coding on Laptops, focusing on encoder-free multimodal architectures and low-VRAM constraints (e.g., 8GB).
Key Resources & Notes
- [[lab-notes/2026-05-26-OpenCode-and-Claude-
- Gemma 4 12B Coder: Multimodal Reasoning and Python Coding on Laptops