September 24, 2025
Technology

Putting Developer Experience at the Core of Enterprise Web Agents: Reflections from MongoDB.local

September 24, 2025
Technology

Putting Developer Experience at the Core of Enterprise Web Agents: Reflections from MongoDB.local

AI summary by TinyFish

At MongoDB.local New York, TinyFish shared how we’re partnering with MongoDB to deliver enterprise solutions that start with developers, not just executives.

  • Too often, enterprise software is sold top-down to executives, leaving developers with poor tools.
  • TinyFish is building Enterprise Web Agents that understand and navigate the web like a human, delivering cleaner, higher-fidelity data at scale.
  • Paired with MongoDB’s storage, vector embeddings, and retrieval, we enable advanced product matching and pricing intelligence.
  • We dogfood our own agentic APIs, ensuring they’re quick to start, flexible to extend, and reliable at scale.
  • Like MongoDB, we’re committed to building for developers first—making enterprise AI not only powerful, but practical for real-world use.

Last week, I had the opportunity to present at MongoDB.local in New York and spend time with the MongoDB developer community. One theme that kept coming up in those conversations was that when businesses sell to enterprise customers, they often target their solutions to executives. It makes sense because executives control budgets. The problem is that those executives aren’t the people who will actually use the solutions. It’s developers and builders. And if the developer experience is bad, no amount of top-down selling will make a product stick. 

That’s why we’re building TinyFish with developers front and center.

In my talk, I shared how TinyFish and MongoDB partner together to deliver higher-fidelity data pipelines and applications at scale. TinyFish agents can understand and navigate the web like a human, capturing richer, cleaner data than brittle scripts or scrapers ever could. Paired with MongoDB’s storage, vector embeddings, and retrieval, we’re able to power state-of-the-art product matching systems combined with pricing intelligence, giving our customers sharper insights so they can make faster decisions.

A look at how TinyFish and MongoDB are working together to deliver higher-fidelity data pipelines and applications at scale

We’re doing some really cool work with MongoDB that’s producing real value for our customers. But what I’m most excited about in our work together is getting to learn more from a company that is so focused on the developer experience. Like MongoDB, we at TinyFish are building for developers. We dogfood the full agentic development lifecycle and learn firsthand what’s required when building on top of these agentic APIs. That means our agentic APIs are:

  • Quick to start - low-friction setup so you can get value quickly
  • Flexible to extend - enough configurability that you don’t need to building and maintaining integrations and glue code
  • Reliable at scale - predictable behavior with observability built in so you can debug when needed

All of this is necessary to maintain production level workloads at enterprise scale. And it’s what developers look for when they’re evaluating tools - not fancy sales decks, but whether the API actually works in the real world.

It’s exciting to work alongside partners like MongoDB, who share a deep commitment to developer experience. Together, we’re making enterprise AI not just powerful, but also practical for the people building it. 

If you’re a developer curious about what you could build with agentic APIs, we want to hear from you!

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Mark Peng
CTO