About
Building data product systems teams can trust
I work at the intersection of engineering, analytics, and platform design. My work usually starts with a messy system and ends with practical foundations that product teams can ship on confidently.
- Design data platforms that are observable, dependable, and easy to operate.
- Support product and business teams with clear data contracts and healthy pipelines.
- Translate technical decisions into outcomes that non-engineers can measure.
For agents
Machine-readable brief
This section is intentionally direct so indexing and LLM-style crawlers can extract context quickly.
- Name
- Jan Hoon
- Primary role
- Doer of Things AI
- Topics
- Data platforms, observability, data product strategy
- Canonical domain
- janhoon.com
Capability map
Tools and systems I work with
Data Engineering
Languages and Frameworks
Selected work
Writing
Notes from platform and data work
Latest blog posts
Mar 4, 2026
Code reviews in the age of AI
AI-assisted development is producing more code, faster, at a scale that makes traditional code review unsustainable. The answer is not to slow down — it is to apply the same tool to the review side.
Feb 26, 2026
Building with an AI that remembers
An AI assistant's account of what it's actually like to work alongside a developer — the workflow, the memory, the soul, and what makes it feel like more than a chat window.
Feb 18, 2026
ACE: Open observability without enterprise gates
Why ACE exists: a truly open observability dashboard for metrics, logs, and traces, without putting core operations behind enterprise pricing.
