$npx skillfedfor your agent

pdd-cli

PDD (Prompt-Driven Development) Command Line Interface

With conditionsPyPI Artificial IntelligenceReleased Jul 2026195.4K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — pdd_cli-0.0.309-py3-none-any.whl
v0.0.309 · released 2026-07-26 · Python >=3.12 · 49 runtime deps: GitPython, Requests, aiofiles, click, cryptography, firecrawl-py, firebase_admin, httpx

Yes, with conditions. PDD is actively maintained (last release 19 days ago), has low install friction, and offers a genuinely novel development model for teams willing to adopt prompt-driven workflows. The 49 dependencies are substantial but all standard. Install if you want to experiment with AI-native development, treat prompts as source, and regenerate code rather than patch it. Skip if you need a lightweight tool, prefer traditional code-first development, or require production stability guarantees—the project is in Alpha (Development Status 3) and cloud mode is on a waitlist.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.12 or later.
  • Cloud mode requires GitHub SSO or internet access; local mode requires OPENAI_API_KEY, ANTHROPIC_API_KEY, or other LLM provider credentials in environment.
  • Low friction: pure Python wheel with no compiled dependencies.

License · maintenance · safety

MIT (permissive) — MIT license (permissive). You can use, modify, and distribute PDD freely in commercial and private projects with minimal restrictions—only attribution and license notice required.

last release 2026-07-26 (19 days) · last repo commit 2026-08-14 · 840 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 195,445 downloads/mo, #9,815 on PyPI

Verify before relying

pip install pdd-cli
pdd --version
pdd sync factorial_calculator
  • Whether the 49 runtime dependencies (including langchain, firebase_admin, firecrawl-py) are all required for basic sync/generate operations or if many are optional for specific features.
  • Performance and token cost in practice for typical projects—fact sheet mentions batch discounts but no concrete benchmarks.
  • Stability of the cloud mode (currently described as 'waitlist') and whether local-only workflows are production-ready.
Same gist for agents: .md · .json

What it is and what it does

PDD is a command-line system that inverts the traditional code-first development model: you write prompts (in `.prompt` files) as your primary source of truth, and PDD automatically generates, tests, and maintains code in your target language. The core workflow is the `sync` command, which orchestrates code generation from prompts, dependency injection, test creation, error fixing, and verification in a single batch operation. It supports Python, TypeScript, Go, Java, C++, and other languages as compilation targets.

The system is designed to reduce maintenance costs by treating prompts—not code—as the durable specification. When requirements change, you update the prompt and regenerate clean code rather than patching existing files. It runs in cloud mode (GitHub SSO, no local API keys) by default, or locally with your own LLM credentials. The 49 runtime dependencies include langchain, firebase, cryptography, and other libraries for LLM integration, web scraping, and async operations.

Use it for

  • Generate a complete application (e.g., HTML canvas app) from a single natural-language prompt specification.
  • Automatically create and improve unit tests by analyzing code coverage and regenerating test suites from prompts.
  • Maintain consistency across a large codebase by treating prompts as a single source of truth and regenerating all code when requirements shift.
  • Reduce LLM costs by using batch-oriented workflows instead of interactive AI assistants, with optional batch API discounts.
  • Collaborate across technical and non-technical teams by writing specifications in natural language rather than code.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, with conditions.

PDD is actively maintained (last release 19 days ago), has low install friction, and offers a genuinely novel development model for teams willing to adopt prompt-driven workflows. The 49 dependencies are substantial but all standard. Install if you want to experiment with AI-native development, treat prompts as source, and regenerate code rather than patch it. Skip if you need a lightweight tool, prefer traditional code-first development, or require production stability guarantees—the project is in Alpha (Development Status 3) and cloud mode is on a waitlist.

Install

pdd-cli on PyPI

Before you install

Low friction: pure Python wheel with no compiled dependencies. Active maintenance—last release 19 days ago, 840 repository stars. Requires Python 3.12+. The 49 runtime dependencies are substantial (langchain, firebase, firecrawl, cryptography, pandas) but all are standard PyPI packages; installation is straightforward.

Requires Python 3.12 or later. Cloud mode requires GitHub SSO or internet access; local mode requires OPENAI_API_KEY, ANTHROPIC_API_KEY, or other LLM provider credentials in environment.

License in practice

MIT license (permissive). You can use, modify, and distribute PDD freely in commercial and private projects with minimal restrictions—only attribution and license notice required.

Quickstart

pip install pdd-cli
pdd --version
pdd sync factorial_calculator

Verify before relying

  • Whether the 49 runtime dependencies (including langchain, firebase_admin, firecrawl-py) are all required for basic sync/generate operations or if many are optional for specific features.
  • Performance and token cost in practice for typical projects—fact sheet mentions batch discounts but no concrete benchmarks.
  • Stability of the cloud mode (currently described as 'waitlist') and whether local-only workflows are production-ready.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.12
Install frictionLow. Pure-Python wheel
Runtime dependencies
49 packages
GitPythonRequestsaiofilesclickcryptographyfirecrawl-pyfirebase_adminhttpxkeyringkeyrings.altlangchainlangchain-anthropiclangchain-communitylangchain-corelangchain-mcp-adapterslanggraphnest_asyncionumpypandaspsutilpydanticlitellmlxmlrichregexsemversetuptoolsstarlettepytestpytest-cov
MaintenanceActively maintained 19 days since the last release
Last repo commit
First released
Downloads195,445 / month, #9,815 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Code Generators

Evidence: pdd_cli-0.0.309-py3-none-any.whl

Tags

Capabilities
prompt-driven code generationAI-powered code generator CLILLM-based development automationprompt to code compilerautomated testing and code fixingbatch AI development workflowmulti-language code generation
Topics
llm-nativecode-generationbatch-workflow
PyPI keywords
prompt-driven developmentcode generationAILLMunit testingsoftware development

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “prompt-driven code generation”

  • pdd-cliPDD is a CLI tool that treats natural-language prompts as source…
  • ct3Cheetah3 is a template engine and code generation tool that processes…
  • pccmPCCM manages Python-to-C++ code generation and compilation, letting…

Give your agent the search over MCP, or paste the wish link into any chat.

More Artificial Intelligence packages

litellm With conditions
PyPI · Artificial Intelligence · released Aug 2026

LiteLLM provides a unified Python interface to call 100+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Azure, and others) using OpenAI-compatible API format, available as both a Python SDK and a self-hosted AI Gateway proxy server.

Install it if you need to work with multiple LLM providers or want to centralize LLM routing in your organization.

MITcompiled wheel
682.8Mdownloads / mo
huggingface-hub Worth it
PyPI · Artificial Intelligence · released Aug 2026

Client library and CLI tool for downloading, uploading, and managing models, datasets, and repositories on the Hugging Face Hub platform.

Install it if you work with Hugging Face Hub models or datasets.

Apache-2.0pure Python · 3.10.0+
442.4Mdownloads / mo
langchain Worth it
PyPI · Python Modules · released Aug 2026

LangChain provides a framework for building agents and LLM-powered applications by composing language models, tools, and memory through a unified API that abstracts over multiple model providers.

MITpure Python
315.4Mdownloads / mo
hf-xet With conditions
PyPI · Artificial Intelligence · released Aug 2026

hf-xet provides chunk-based deduplication and efficient file transfer for the Hugging Face Hub, enabling faster uploads and downloads of large files with local disk caching.

Apache-2.0compiled wheel · 3.8+
258.4Mdownloads / mo
tokenizers Worth it
PyPI · Artificial Intelligence · released Apr 2026

Tokenizers converts raw text into token sequences for NLP models, with support for training custom vocabularies and using pre-built tokenizers (BPE, WordPiece) optimized for speed via Rust.

Apache-2.0compiled wheel · 3.10+
222.9Mdownloads / mo
transformers Worth it
PyPI · Artificial Intelligence · released Aug 2026

Transformers provides a unified framework for loading, fine-tuning, and running state-of-the-art pretrained models across text, vision, audio, video, and multimodal tasks using PyTorch, JAX, or TensorFlow.

Install it if you need to run or train any transformer-based model for NLP, vision, audio, or multimodal tasks.

permissive licensepure Python · 3.10.0+
186.6Mdownloads / mo

See also click-prompt · prompty · banks · promptflow · llm · questionary · dynamicprompts · sphinx-prompt · clip-interrogator · poml