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albertusreza/pr-pilot

14PythonAudience · developerComplexity · 2/5Setup · easy

TLDR

Automatically writes pull request descriptions and code reviews using GPT-4o, so every PR gets a structured summary with a test plan and suggested labels without any manual writing.

Mindmap

mindmap
  root((pr-pilot))
    What it does
      Auto PR descriptions
      Code review in terminal
      Changelog generation
      Security diff scan
    GitHub Action
      Reads diff and commits
      Posts description on open
      Suggests labels
    CLI commands
      Generate docstrings
      Write unit tests
      Suggest reviewers
      Scan for TODOs
    Cost
      1-3 cents per PR
      GPT-4o model
      Diff only sent to API
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Code map

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Things people build with this

USE CASE 1

Add the GitHub Action to automatically write a structured description for every new pull request in your repo.

USE CASE 2

Run the CLI to get an AI code review posted as a comment on an open pull request.

USE CASE 3

Scan your diff for security issues before merging.

USE CASE 4

Turn all TODO and FIXME comments in changed files into tracked GitHub issues automatically.

Tech stack

PythonGPT-4oGitHub Actionspip

Getting it running

Difficulty · easy Time to first run · 5min

Requires a paid OpenAI API key set as a GitHub Actions secret.

License not specified in the explanation.

In plain English

PullWise (published under the package name pullwise and the GitHub Action name pr-pilot) is a tool that automatically writes pull request descriptions, code reviews, and related development artifacts using OpenAI's GPT-4o model. The core idea is that most pull requests arrive with poor or missing descriptions, which makes code review harder and leaves the project history without useful context. This tool fills that gap without requiring developers to write anything manually. The main way to use it is as a GitHub Action. You add a short workflow file to your repository, provide an OpenAI API key as a secret, and from that point on every new pull request gets a structured description automatically. The description includes a plain-English summary of what changed, a list of specific changes, a test plan, and suggested labels. The tool generates this by reading the full diff between the branch and its base, collecting the commit messages, and sending both to the AI model. The same functionality is also available as a command-line tool installed via pip. Beyond generating PR descriptions, the CLI includes a long list of additional commands: getting a code review in the terminal, posting that review as a GitHub comment, generating changelog entries from commits, suggesting reviewers based on who last edited the changed files, summarizing recent commits as a standup update, scanning for TODO and FIXME comments and turning them into GitHub issues, generating docstrings for changed functions, writing unit tests for a file or function, scanning diffs for security issues, suggesting branch names from a plain-English task description, and more. The cost per pull request description is around one to three cents using GPT-4o, which the README estimates works out to roughly one to three dollars per month for a small team. The tool only sends the diff and commit messages to OpenAI, no other repository data leaves the CI runner. It requires an OpenAI API key and works with repositories in any programming language.

Copy-paste prompts

Prompt 1
I have a Python repo using pr-pilot. Show me the exact GitHub Actions workflow YAML I need to add so every new PR gets an auto-generated description with a test plan and suggested labels.
Prompt 2
Using the pr-pilot CLI, how do I generate a changelog entry from the last 10 commits and write it to CHANGELOG.md?
Prompt 3
I want pr-pilot to suggest code reviewers based on who last edited the files in my diff. Show me the exact CLI command.
Prompt 4
Walk me through using pr-pilot to scan my current git diff for security issues and output the findings to the terminal.
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