Describe the error and its scope
Enter the error type, stack trace summary, reproduction steps, environment, the files the agent is allowed to touch, and how much autonomy it should have.
ERROR TO AGENT INVESTIGATION TASK
Error2Agent
Turn a stack trace or application error into a structured investigation task for an autonomous coding agent, with scope boundaries the agent must respect.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Score investigation readiness
The task is scored on error detail, reproducibility, and whether file-scope boundaries are set — an agent given no boundaries can widen scope well past the actual bug.
Hand off with explicit guardrails
Get an assembled investigation task that tells the agent exactly what it may touch and how much it may do unsupervised, not just what the bug looks like.
Continue learning: AI coding debugging: what to check first · AI agent guardrails every startup MVP should include
Frequently asked questions
How is this different from the Debug Prompt Builder?
The Debug Prompt Builder assembles a general debugging prompt aimed at getting a fix suggestion from any AI coding tool. Error2Agent is built specifically for handing an error to an autonomous coding agent that may act with limited supervision — it adds an allowed-file scope boundary and an explicit autonomy level (investigate only, propose a fix, or fix and verify) that a general debug prompt does not need.
Does this parse my actual stack trace or logs?
No. This tool assembles and scores an investigation task entirely from the information you type into the fields on this page. It does not parse real stack traces, screenshots, commits, or pull requests itself, and does not connect to any coding agent or version control system.
Why does the allowed-files field matter so much?
An autonomous agent without an explicit scope boundary can "fix" a bug by touching unrelated files, which is a common source of unreviewed side effects. Listing the allowed files/directories keeps the agent's changes confined to what a human can realistically review.
What does "investigate only" actually enforce?
Nothing automatically — this tool cannot control what an agent does. The autonomy level is included as an explicit instruction in the assembled task text; whether the agent honours it depends on the agent and how you configure it.
Should I skip the readiness score if the bug is trivial?
For a one-line typo fix, a low score is fine to ignore. The score is most useful for anything touching production, payments, or auth, where an under-scoped investigation task risks the agent going out of bounds.
How We Compare
| Feature | MVPHub | Cursor | GitHub Copilot |
|---|---|---|---|
| Explicit allowed-file scope boundary | Included | Limited | Not included |
| Investigation-readiness score | Included | Not included | Not included |
| Autonomous multi-step agent execution | Not included | Included | Limited |
| Reads live stack traces automatically | Not included | Included | Included |
Cursor and GitHub Copilot can act on errors directly inside the editor, including some autonomous agent modes. Error2Agent instead helps you write a bounded, scored investigation task before handing an error to any agent, independent of which one receives it.
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