- CRITICAL
- WARNING
- PASS
- HUMAN
Short answer
Can my AI check if my migration guides are actually useful?
Yes. Your AI uses the DevRel Voice Prover to scan documentation for vague language and missing code blocks. You get a list of specific gaps that need human intervention to fix.
Where every issue lands.
The outcomes of an audit
The AI categorizes every finding into specific buckets for your review.
CRITICAL
Missing code snippets
The AI flags any migration step that describes a process without providing the necessary code. You'll know exactly where users will get stuck.
WARNING
Vague instructions
It identifies phrases that lack technical depth. These are the spots where you need to add more specific commands or parameters.
PASS
Verified paths
Documentation that meets your standards for clarity and actionability is marked as complete. This helps you focus on the broken parts.
HUMAN
Manual review needed
The AI highlights complex logic changes that require a developer's eyes. It won't guess if a migration path is logically sound, only if it's clearly written.
The workflow
What your AI does when the guide arrives.
The AI acts as a technical editor, looking for the friction points that frustrate developers.
Scan documentation
The AI reads your markdown files or hosted docs to understand the migration flow.
validate_devrel_voiceIdentify gaps
It looks for missing code blocks in steps that require implementation.
validate_devrel_voiceFlag ambiguity
The agent searches for non-actionable language that makes instructions hard to follow.
validate_devrel_voiceReport findings
The AI compiles a list of specific locations and issues for you to address.
validate_devrel_voice
Try it
Copy these to start.
Use these prompts to begin your audit.
Starting points
These are opening lines. Swap the bracketed text for your actual file paths or URLs.
DevRel Voice Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_ekF1YAPqn6CDyvSUDpIpRchhKkESZFxslUFmQfM9/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — DevRel Voice Prover capabilities are ready to use.
{
"mcpServers": {
"devrel-voice-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_ekF1YAPqn6CDyvSUDpIpRchhKkESZFxslUFmQfM9/mcp"
}
}
}Check [URL] for any migration steps that are missing code snippets.
Review the documentation in [repo path] and flag any vague instructions.
Does the migration guide at [URL] provide clear, actionable paths for a user?
Scan [file path] and list every instance where a command is mentioned without an example.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect DevRel Voice Prover once, then ask.
One click connects this MCP to your client. Your credentials stay encrypted, and you can start auditing immediately.
Connect DevRel Voice Prover to your AIFAQ
How this task behaves
- 01
Can the AI fix the code for me?
No. The AI identifies where code is missing or unclear, but you must write and verify the actual implementation.
- 02
Will it automatically update my GitHub repo?
No. The AI only reads and analyzes your documentation. It does not have permission to write or commit changes to your files.
- 03
How does it know what is 'vague'?
It looks for instructional patterns that lack specific parameters, commands, or concrete outcomes.
- 04
Can I use this with any documentation format?
Yes, as long as your AI client can access the text in the files or via the URL you provide.
- 05
Does it check if the code actually runs?
No. It checks for the presence and clarity of code snippets, not the functional correctness of the logic.
More questions about DevRel Voice Prover? The Connector page answers them. See everything the DevRel Voice Prover Connector can do
Connect DevRel Voice Prover to Claude, Cursor, ChatGPT & more
