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Coding · Intermediate

# Automated code refinement from runtime errors

Analyze runtime tracebacks, generate candidate patches, and refine failing code snippets iteratively

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askReceive error log and script
- ThenAnalyze traceback and draft patch
- ResultSubmit patch for engineer review

Review error logs and stack traces from script executions, retrieve relevant patterns from previous runs, and draft corrected code snippets. The bot inspects error messages, updates the source code to resolve the defect, and prepares a patch report for developer verification.

## Prompt to start with

BotBentoRecommended

```
When an execution traceback or bug report is provided, isolate the root cause and inspect the failing code block. Search saved patterns or documentation for relevant fixes. Generate an updated code version that directly addresses the reported error. Before applying any edits or pushing changes to the repository, present the proposed diff and explanation to the engineer and wait for approval.
```

Copy

## Tools it uses

TerminalGitHubChat

## Works with

BotBento

## Tags

- debugging
- python
- code-review
- refactoring

## Source

[ThinkGPT: Agent techniques to augment your LLM and push it beyond its limits !\[GitHub Repo stars\](https://img.shields.io/github/stars/jina-a](https://github.com/jina-ai/thinkgpt)
GitHub · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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