Coooder.Blog
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Fullstack engineer · Beijing

Hi, I’m Coooder.

Building practical systems for an agent-native future.

I turn complex workflows into tools with clear context, repeatable execution, and evidence people can trust.

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Featured Builds

Three projects that show how I approach agents, data, and collaborative software.

Case study

Vital Agent Sync

A local-first Apple Health connector that brings user-authorized HealthKit summaries to MCP-compatible agents.

Problem

Personal health context is useful to an agent, but it should never require giving up control of sensitive data.

Outcome

A local-first bridge that keeps data under user control while making authorized summaries available to MCP-compatible agents.

What I built

iOS, encrypted direct sync, local SQLite, MCP runtime, CLI, and privacy-first onboarding.

SwiftUIHealthKitTypeScript
Code

Case study

AI Capital Map

An evidence-backed AI industry graph for exploring companies, models, infrastructure, metrics, and research relationships.

Problem

AI industry research is fragmented across announcements, benchmarks, companies, and infrastructure data.

Outcome

An explorable map that connects research claims to evidence instead of leaving them as isolated notes.

What I built

Built the graph exploration, evidence review workflow, research timeline, API layer, and PostgreSQL-backed data path.

Next.jsTypeScriptPostgreSQL
LiveCode

Case study

ByteNote

An offline-first collaborative writing app with structured editing, automatic sync, self-hosted collaboration, and AI assistance.

Problem

Writing tools often make collaboration depend on a stable connection and a centrally hosted workspace.

Outcome

A collaborative editor that treats offline work, synchronization, and self-hosting as first-class capabilities.

What I built

Designed the offline sync queue, IndexedDB persistence, Yjs collaboration, editor experience, and full-stack integration.

Next.jsSlateYjs
LiveCode
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Notes from building, testing, and learning in public.

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