Coding Agents: Get Recommended and Set Up by Them

When a developer asks their coding agent to add email to an app or connect a database, the agent picks the tool, reads its docs and does the setup. For a product with an MCP server, CLI, API or SDK, that agent is often your first user. Revnu checks both halves of it, then fixes what gets in the way:

• Discovery: does a coding agent pick you when a developer describes the problem without naming you?

• Usability: can a coding agent set you up and finish a real task from your public docs?

Ask in chat

• "Can a coding agent set up our SDK from our docs?"

• "Do coding agents recommend us for transactional email?"

• "Run an agent-experience check and write it up as a scorecard."

How an agent test works

Revnu hands one task, worded the way a developer types it, to a separate coding agent that starts fresh: an empty project folder, no notes, no accounts and nothing about your business. On accounts that run on Claude it's Claude Code itself; on the rest it's an OpenAI coding agent. Every result names the agent and model it used.

The agent searches, reads docs, installs packages and runs commands as it would for any developer. Revnu keeps every step: each search, each page it read, each command and the exact text of any error. That record answers how the agent found you, or what it picked instead.

A typical check is three to five tasks:

• Setup and a first call: "make a small Node app that sends a test email with Acme"

• The MCP server: "connect Claude Code to Acme's MCP server and list my projects"

• A real job past the quickstart: one of the things your customers use you for

• Discovery: the developer's problem, without your name, once with web search and once from what the model already knows

Each test runs for up to 25 minutes, two at a time, and most finish in a few minutes.

When a step needs a person, such as a sign-up, an API key or an OAuth approval, the agent stops there and the scorecard shows how far it got. To go further, give Revnu a test account: you sign in on Revnu's browser yourself, and with your OK it keeps that sign-in for the next check.

The scorecard

Revnu writes one note per check, with the agent and the date at the top:

The table is an example. Re-checks update the same note, with the earlier result beside the new one.

Fixing what blocks agents

Revnu fixes each blocker where it lives: the docs page, the README, llms.txt, the package description, the MCP registry entry or the error message the agent hit. When the page lives in your connected GitHub repo, Revnu opens the pull request. Otherwise it writes a fix brief for your engineer that names the page, the line and the error. Once the fix ships, it re-runs the same tasks with the same agent, so you see what the fix changed.

What coding agents recommend, every day

On Managed, Revnu can also ask some of your tracked buyer questions the way a developer asks a coding agent, every day, on the AI engines it checks. Say "track what coding agents recommend" to switch it on, then ask "what are coding agents recommending?" Revnu reports how often you're named on each engine and which tools get named instead. These answers share the daily question budget with your regions.

On Pro, agent tests answer the same question whenever you ask.

Keep it going

Ask for a weekly agent-experience check and Revnu sets it up as a workflow: the same tasks, the same agent, an updated scorecard and a message about what moved.