Build Your Own Benchmark: Why Agents Need Custom Evals and How to Create Them | TestMu 2026
Agents are becoming software’s primary users. The question is no longer which model ranks highest on public leaderboards - it is whether agents can reliably complete the real-world tasks your product promises.
Public benchmarks miss local context: your workflows, state, permissions, edge cases, and tool surfaces. Product failures are specific - bad defaults, missing docs, and friction that only appear when agents actually use your SDK, CLI, or MCP. Custom benchmarks solve this by turning real tasks into reproducible experiments you can rerun after every model, harness, or product change.
In this talk, we’ll discuss how anyone can define their own custom eval suite and benchmarks, what are the advantages of having them, and how to make them scalable and maintainable. You’ll see how to define tasksets, seed environments and agent harnesses, apply treatments (SDK/CLI/MCP/custom agents), add validators, and collect comparable evidence - completion scores, trajectories, metrics, and file changes - so you can compare, debug, and improve systems that work for agents.
A clear mental model for why public benchmarks fail their product (and what to do instead)
A practical framework for turning real agent workflows into reproducible experiments
Confidence that they can start building useful custom benchmarks without a research team

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Testμ(TestMu) Conference is TestMu AI’s (Formerly LambdaTest) annual flagship event, one of the world’s largest virtual software testing conferences dedicated to decoding the future of testing and development. Built by the community, for the community, it’s a space where you’re at the center, connecting, learning, and leading together. From deep-dive sessions on emerging trends in engineering, testing, and DevOps, to hands-on workshops and inspiring culture-driven talks, every experience is designed to keep you at the heart of the conversation.

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Keynote: Beyond Benchmarks - Evaluating Agents Against What They Are Actually Supposed to Do
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From Load Testing to Reliability Engineering: Making Performance Testing Predict Production Behavior
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Fireside Chat: The Economics of AI Agents: How Startups Are Rethinking Value and Monetization
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Panel Discussion: Mission-Critical Priorities in Quality Engineering: The Leader's Playbook
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