personalvibe 2.5.7

My personal vibecoding.

Personalvibe

Documentation quick links

• Installation
• Developer on-boarding
• Using Personalvibe in other projects
• API reference
• Roadmap 3.0.0

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Personalvibe is my own attempt at bootstrapping and building an AI interface into my code approach.

Brainstorm → YAML → Prompt → Code → Test Personalvibe turns AI tinkering into a repeatable pipeline you can embed in any project.

pip install personalvibe        # 🚀  get the CLI
pv run --config 1.0.0.yaml      # 🤖  generate / execute prompts

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Why “vibe coding” ?

Traditional scaffolding tools expect you to know the end-state. But early-stage ideas are fuzzy, iterations rapid. Personalvibe embraces this uncertainty:

• prompts live beside your source code (version controlled) • every run writes human-readable logs in ./logs • unit tests guard each sprint so automation stays trustworthy

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Quick start (2 mins)

1. pip install personalvibe
2. pv run --config examples/hello_world.yaml --prompt_only → renders a prompt, saves it under data/<project>/prompt_inputs/
3. fill in your OpenAI key, drop the --prompt_only flag, re-run.

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CLI overview

command	purpose
pv run	auto-detect mode from YAML & execute
pv milestone	ask the LLM for a milestone plan
pv sprint	generate a sprint chunk (≤20 k chars)
pv validate	re-run lint/tests inside a one-liner gate
pv parse-stage	save last assistant code block to file

Append --help to any sub-command for details.

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Development setup (optional)

poetry install         # installs dev + lint + test groups
poetry run nox         # black, flake8, mypy, pytest, smoke_dist
./tests/personalvibe.sh   # the same quality-gate in one shell

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License & acknowledgements

MIT. Made with ❤️ and too much coffee by Nick Jenkins. Inspired by dozens of open-source LLM projects — thank you!