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Coding · Intermediate

# Spec-driven pull request implementation

Turn functional feature specifications into tested codebase pull requests

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

- When you askReceive feature specification
- ThenDevelop code and run test suite
- ResultRequest approval to open pull request

Review functional software requirements, analyze the target codebase in an isolated environment, and outline detailed technical plans. Once a plan is reviewed, write the necessary code, run automated tests from the terminal, and prepare a complete pull request ready for final review.

## Prompt to start with

BotBentoRecommended

```
Analyze the repository structure and create an implementation plan matching the provided requirements. Execute build commands, apply edits, and run test suites in the terminal to verify your changes. Present the proposed diff and verification logs to the user. Always wait for explicit user confirmation before opening a pull request or pushing changes to remote branches.
```

Copy

## Tools it uses

GitHubTerminal

## Works with

BotBento

## Tags

- git
- testing
- development
- pull-requests

## Source

[helix: ♾️ Private Agent Fleet with Spec Coding. Each agent gets their own GPU-accelerated desktop. Run Claude, Codex, Gemini and open models](https://github.com/helixml/helix)
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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