Standup-CLI: The Daily Standup Auto-Generator

#devchallenge #githubchallenge #cli #githubcopilot

GitHub Copilot CLI Challenge Submission

This is a submission for the GitHub Copilot CLI Challenge

What I Built

Standup-CLI is a command-line tool that automatically generates daily standup summaries from git commit history. It helps developers quickly answer the question: “What did I work on?” without manually scanning commit logs.

The tool works with both local repositories and public GitHub repository URLs, analyzing recent commits and categorizing them into:

Features
Bug Fixes
Maintenance / Chores

The output is a clean, human-readable standup update that can be pasted directly into Slack, Notion, Jira, or any team standup workflow.

Demo

Check out the repository and usage guide here:
https://github.com/prayagtushar/standup-cli/blob/main/README.md

You can run it in your terminal with a single command, for example:

standup-cli --repo <path_or_url>

It generates a concise summary of your recent work automatically.

Motivation

Daily standups are simple in theory but tedious in practice. Scrolling through git logs or trying to remember all changes can take time and break your flow. I wanted a tool that could turn commit history into a structured, human-readable summary instantly.

The goal: minimize friction, maximize developer focus, and reduce the cognitive load of reporting your own work.

My Experience with GitHub Copilot CLI

GitHub Copilot CLI accelerated my development significantly:

Quickly scaffolded CLI commands and argument parsing
Assisted in writing and refining git commit parsing logic
Suggested improvements for error handling and edge cases
Reduced time spent on boilerplate, letting me focus on core functionality

Copilot CLI acted like a pair programmer in the terminal, helping me stay in flow and iterate faster. Without it, writing the parsing logic, categorization rules, and CLI scaffolding would have taken much longer.

Lessons Learned

Good tooling reduces friction: Developers spend more time coding when repetitive tasks are automated.
Dependency management is critical: Properly declaring Python dependencies ensures smooth installs via pip, pipx, or Homebrew.
Testing in clean environments prevents surprises: Homebrew and pipx installations caught missing dependencies I wouldn’t have noticed locally.

Installation
Option 1: From PyPI (Recommended)