diff2tweet 0.1.0

Generate tweet drafts from git diffs and commit context.

diff2tweet

Stop forgetting to tweet about your code wins.

diff2tweet feeds your recent git commits and diffs to an LLM and generates a tweet draft. Run it after you push, review the candidates, and move on.

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Install

pip install diff2tweet

For Anthropic or Gemini providers, install the extras you need:

pip install 'diff2tweet[anthropic]'   # Claude
pip install 'diff2tweet[gemini]'      # Gemini
pip install 'diff2tweet[all-providers]'  # everything

Verify the install:

diff2tweet --help

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Setup

1. Add your API key

Create a .env file in your repo root (or export the variable):

OPENAI_API_KEY=sk-...
# ANTHROPIC_API_KEY=sk-ant-...
# GEMINI_API_KEY=...

All three providers are supported. Based on testing with gpt-5.1, claude-sonnet-4-6, and gemini-2.5-flash-lite-preview, Claude produced the best output quality. OpenAI was solid. Gemini struggled with context grounding. Your mileage may vary by model.

2. Add a config file

Create diff2tweet.yaml in your repo root. Minimal config:

provider: openai
model: gpt-4o

project_name: your-project
project_summary: One sentence about what your project does.
project_audience: Who you're building for.
project_stage: prototype  # prototype | beta | launched
project_tone: technical   # technical | founder | casual

A full annotated example is at diff2tweet.yaml in the repo.

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Run

From anywhere inside your git repo:

diff2tweet

The tool will:

1. Find your diff2tweet.yaml and .env at the repo root
2. Pull your recent committed changes since the last run
3. Generate tweet candidates
4. Save the result to .diff2tweet/

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Optional: Add context with NOTES.md

Drop a NOTES.md in your repo root to give the LLM extra context that wouldn't be visible in commits — what you're working toward, anything worth emphasizing, framing you want it to use. Gets included automatically.

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Config Reference

Key	Default	Description
provider	openai	openai, anthropic, or gemini
model	—	Model name for the selected provider (required)
project_name	""	Project name for prompt context
project_summary	""	What the project does
project_audience	""	Who it's for
project_stage	prototype	prototype, beta, or launched
project_tone	technical	technical, founder, or casual
project_key_terms	[]	Domain vocabulary to inform framing
num_candidates	1	Number of tweet drafts to generate
character_limit	280	Max tweet length
lookback_commits	5	Commits to include on first run
commit_subject_min_chars	20	Min chars for a commit subject to be included
readme_max_chars	0	Max README.md chars to include as context
forced_hashtags	[]	Hashtags always included when they fit
custom_instructions	""	Extra guidance appended to the prompt
context_max_chars	12000	Max characters of context sent to the LLM
max_doc_diff_sections	3	Max documentation diff sections to include
max_doc_section_chars	1000	Max chars per individual doc diff section
diff_ignore_patterns	(list)	Glob patterns to exclude from diff context
output_folder	.diff2tweet	Where logs and drafts are saved

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Output

Each run writes a markdown artifact to .diff2tweet/runs/ with the tweet candidates. Runs are also logged to .diff2tweet/run_log.jsonl so subsequent runs only pick up new commits.

Add .diff2tweet/ to your .gitignore, or commit it if you want a record of your tweet history.