Teach AI to Answer Questions Based on Your Documents
I started a 2026 series revisiting document-grounded AI systems, beginning with RAG architecture, Azure vs open-source stacks, and when fine-tuning makes sense.
Tech Blog
Notes from building production LLM systems, GitHub-native developer infrastructure, and AI localization workflows that operate at open-source scale.
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Field notes, architecture decisions, and implementation tradeoffs from practical AI and developer tooling work.
I started a 2026 series revisiting document-grounded AI systems, beginning with RAG architecture, Azure vs open-source stacks, and when fine-tuning makes sense.
Hardening Co-op Translator after real Markdown failures in multilingual documentation.
Why translation maintenance started to look more like dependency management than content generation.
Explaining Co-op Translator v0.8 as a shift from manual translation to continuous repository maintenance.
Presenting Azure AI planning decisions before writing the first line of implementation code.
Turning Azure OpenAI teaching material into a beginner-friendly Microsoft Korea video.
A compact starter guide built to help new developers reach their first working Azure OpenAI loop.
How a translation automation tool grew into Microsoft open-source infrastructure.
Presenting Co-op Translator as a full workflow: setup, CLI usage, costs, automation, and maintainability.
Framing multilingual documentation as an engineering workflow rather than a translation convenience.