Agents consume your product in a different way — and they don't leave feedback.See exactly how coding agents navigate
your product, where they fail, and why.

A new world

The user persona is shifting from humans to agents, and you're losing control over your developer experience.

Zero observability

You need visibility into how your users' agents interact with your product, docs and skills, where they get stuck, how often, and what needs to be fixed. Agents don't leave comments or file issues. They fail silently.

Limited benchmarking

You need a scalable, programmatic way to quantitatively test and measure how much a given artifact (i.e. skill) improves your developer experience. Otherwise, you ship and hope.

No churn signal

Your API telemetry sees the requests that reached you. It misses the real behavior and the frictions agents hit.

Platform

Run multiple coding agents on real developer tasks against your APIs, SDKs, CLIs, and skills, and see where they fail, recover, or give up at runtime.

Observability Testing Discoverability Product alignment Navigation

Get usage data on what your users' agents try to do, where they hit friction, what they fail on, and how often. Restore the feedback loop you'd normally rely on from your community.

Simulate agent runs against diverse user setups and use cases before every release. Experiment with edge cases and ship with confidence that agents will succeed at real-world tasks.

Make sure your product conforms to evolving agent-consumption standards: MCP, plugins, skills, CLI, etc.

Create a version of your product that is more suitable for agent consumption — one that reliably improves task completion rates while reducing token consumption and latency for your users.

FAQ

Frequently asked questions.

If you book a demo we can set you up with 100 simulation credits to test your product.

Most setups take under a day once you share a repo, install command, or API surface. Custom task definitions and skill bundles can extend that by a few days depending on review cycles.

We start with Claude Code and Codex, then expand coverage to Cursor, GitHub Copilot, Antigravity, OpenCode, and others by plan or project. We also test different models and thinking levels per agent.

SDKs, APIs, CLIs, MCP servers, skills, docs, error messages, and example code. Anything an agent would touch when integrating your product into a real codebase.

Most agent work happens before the API call: reading files, inspecting SDKs, running commands, hitting errors, editing code, and retrying. Oqoqo shows the behavior your server logs miss.

Agent observability tools inspect agents your team builds. Oqoqo tests how your users' coding agents behave on your product.

You can, and you should. Oqoqo turns that useful dogfood step into repeatable testing across controlled tasks, agents, versions, and product changes.

No. Discovery matters, but Oqoqo focuses on runtime use: what happens after an agent chooses your product and tries to make it work.

Yes. Each run records files read, commands issued, tool calls made, errors hit, and the point where the agent recovered or stopped. Traces are available inside the workspace for every published run.

Recover control over your developer
experience and iterate on your
product with real data.

We partner with developer-oriented companies ready to meet their new users where they are.

Request a demo