What Did I Do Again?

Track your work across Jira and Linear. Generate AI-powered summaries of your activities.

Runs 100% locally on your machine. Bring your own API keys (BYOK) - your credentials stay under your control.

whatdidido is a command-line tool that syncs your work items from ticketing systems (Jira, Linear) and generates intelligent summaries using OpenAI. Perfect for status reports, performance reviews, and keeping track of what you've accomplished.

Installation

Prequisite is Python 3.10 and above installed

pipx

brew install pipx
pip install whatdidido

Quick Start

1. Configure Your Integrations

whatdidido connect

This interactive wizard will guide you through:

• Selecting which integrations to connect (Jira, Linear)
• Entering API credentials
• Configuring OpenAI for AI summaries (optional)

2. Sync Your Work

whatdidido sync

Fetches your work items from all configured integrations.

3. Generate a Report

whatdidido report

Creates an AI-powered summary of your activities in whatdidido.md.

Cost Considerations

When using the AI-powered summarization feature, OpenAI API usage will incur costs. Here's what to expect:

Example Usage Cost:

• 19 Jira tickets analyzed
• API Usage: ~25,000 input tokens, ~3,079 output tokens
• Approximate Cost: $0.06 USD

Actual costs will vary based on:

• Number of work items synced
• Complexity and length of ticket descriptions
• OpenAI model used (configurable)
• Frequency of report generation

Cost Management Tips:

• Use date ranges to limit the number of items synced
• Sync only when you need to generate reports
• Monitor your OpenAI API usage at platform.openai.com

Usage Examples

# Sync work from the last 30 days (Suppose today is 2025-10-23)
whatdidido sync --start-date 2025-09-23

# Sync work for a specific user
whatdidido sync --user colleague@company.com

# Sync a specific date range
whatdidido sync --start-date 2024-01-01 --end-date 2024-12-31

# View current configuration
whatdidido config

# Clean up synced data
whatdidido clean

Available Commands

Contributing

We welcome contributions! To contribute:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Run tests: pytest
5. Format code: black .
6. Submit a pull request

Development Setup

For local development:

git clone https://github.com/oliviersm199/whatdididoagain.git
cd whatdididoagain
pip install -e ".[dev]"
pre-commit install

Running Tests

pytest
pytest --cov=src  # with coverage

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

• Issues: GitHub Issues