Mocks & Synthetic Data
Fast and cheap, but fixtures and local samples can't tell you how the real system behaves.
A new model or a prompt tweak can quietly break what your customers rely on. monday.com runs every PR through an eval suite pointed at a staging cluster with real services and data. We'll show you how to wire the same gate into your own CI.
A lot of what an agentic product does is call other systems: databases, internal services, third-party APIs. One changed prompt, model, or tool can quietly break those calls. Evals catch that, but only if the dependencies they run against behave like production.
Fast and cheap, but fixtures and local samples can't tell you how the real system behaves.
Real behavior, but you pay for every run in spin-up time and money.
Your eval suite, run against a staging cluster with real services and data, on every PR.
Dor is AI Engineering Director at monday.com and speaks publicly about agent evaluation, including at LangChain's Interrupt in London. At monday.com, agent PRs move through the same repository, CI pipeline, and engineering standards as human-written work.
Eyal co-founded MetalBear and leads engineering on mirrord. mirrord lets developers and coding agents run local processes with access to a real Kubernetes cluster, without deploying first. Eyal will host the conversation and demo how to set up evals with mirrord.
The demo runs on a Kubernetes environment. The wider problem appears in any service-based system where local code depends on databases, queues, APIs, or services available only in a remote environment. During the webinar we'll share a link for those interested in seeing this work across different environments and setups. Or skip the wait and book a demo with us, mentioning which environment you're interested in.
No. You'll be able to watch what happens live, then use the repo and setup guide we send after to run the same checks on your own cluster.
Yes, and that is the point of this session. mirrord lets you run the eval locally or in CI while the agent connects to real databases, queues, and services in the cluster. The score reflects production behavior before a single line reaches it.
That's the problem mirrord is built to solve. You run the eval locally or in CI, and mirrord connects it to the real cluster without duplicating it. Multiple agents and engineers can run against the same environment at the same time without collisions and without the cost of a parallel staging setup.
This session isn't a new eval framework, it's about what your existing suite runs against. You'll see how to point the same evals at a real database and real services, and how to wire that run into CI.
Register anyway. We'll send the recording, slides, and demo repo to your inbox.
Tuesday, Sep 15 · 10am ET / 4pm CET
Free and live, plus a Q&A.
Claim your free seat