Skip to content

Sterling Chin · Founder of Sannr

I’m building Sannr.And sharing what I learn.

Sannr is an API client for coding agents that keeps the API lessons they record beside the code, so the next session can build on what the team has learned. I’m the founder, and this is where I share the work.

Sterling Chin, founder of Sannr

Engineer by background, Builder at heart.

My focus now

sannr.dev

API knowledge.
Kept with your code.

Getting an API call to work is only part of the job. There’s also everything you learn along the way: the undocumented requirement, the unexpected response, the reason one approach worked and another didn’t.

I’m building Sannr to give those lessons a home. It keeps API observations and recorded gotchas and decisions in your repository, where people and coding agents can use them in later work. Bring the tools and API context you already have.

Explore Sannr
  1. What the docs missed.

    The prerequisites, edge cases, and surprises you find by doing the work.

  2. What your team figured out.

    The observations and decisions worth recording for the next integration.

  3. A place to pick up again.

    Saved API context beside the code, available to the next developer or agent.

Sterling recording at Postman Studio
Making the technical approachable.
Sterling at an Agents & APIs meetup in San Francisco
Learning with other builders.

How I got here

A coding bootcamp.
A lot of building.
Now, my own company.

I got into tech through a coding bootcamp, shipped software at startups and enterprises, and went on to lead the Labs team at Postman before moving into developer advocacy.

Building MARVIN, my open-source AI chief of staff, gave me a place to explore what agents need to be useful in everyday work. My work on API tools and MCP kept bringing me back to the same question: what context does the next person or agent need?

That’s the question I’m working on as the founder of Sannr. I write, build, and speak about what I’m learning along the way.

Selected work

The work behind the work.

Open-source experiments and API tools that shaped how I think about building with agents.

Sterling speaking to an audience at POST/CON
On stage at POST/CON

Speaking

What I'm learning, shared out loud.

I give practical talks about API context, MCP, and building AI tools people can actually use. The work gives me the stories: what I tried, what broke, and what I learned along the way.

From the workbench

Writing, demos & experiments.

A curated selection of things I've written, recorded, and built while exploring how agents work with APIs.

Showing 6 of 11 items.