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Coding · Intermediate

# Implementing complex features into legacy codebases

Turn technical specifications into tested pull requests aligned with existing architecture

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

- When you askReceive feature specification
- ThenImplement changes and run tests
- ResultRequest approval to open pull request

Scaffold and implement multi-file features across existing codebases while following local architectural patterns, style guides, and test conventions. The bot reads repository rules, generates target code changes, validates them with local test suites, and opens draft pull requests for human review.

## Prompt to start with

BotBentoRecommended

```
Analyze the repository structure, coding guidelines, and dependencies before writing code. When given a feature request or spec, draft an implementation plan, create an isolated branch, and edit files using the terminal. Run local test suites and linters to verify changes. Do not push commits, delete files, or open pull requests on GitHub without explicit confirmation.
```

Copy

## Tools it uses

GitHubTerminalChat

## Works with

BotBento

## Tags

- software
- git
- pull-request
- refactoring
- testing

## Source

[Show HN: P0 – Yes, AI can ship complex features into real codebases](https://news.ycombinator.com/item?id=47247639)
Hacker News · 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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