Skip to main content

Autonomous software development pipeline combining orchestration with governance enforcement

Project description

worca-cc

Autonomous software development pipeline with governance enforcement.

What it does

worca-cc is a multi-agent pipeline that plans, coordinates, implements, tests, reviews, and learns from code changes autonomously. It runs as a set of Claude Code hooks and scripts you install into any project — with governance enforcement at every stage.

Installation

pip install worca-cc

Quick Start

worca init          # scaffold .claude/ in current project
worca run --prompt "Add user authentication"

Features

  • 9-stage pipeline — Preflight → Plan → Plan Review → Coordinate → Implement → Test → Review → PR → Learn
  • 7 specialized agents — Planner, Plan Reviewer, Coordinator, and Guardian on Opus; Implementer, Tester, and Learner on Sonnet
  • Governance hooks — block dangerous operations, enforce test gates, validate plans
  • Circuit breakers — error classification with halt thresholds to prevent runaway cost
  • Preflight checks — language-agnostic environment validation before spending tokens
  • Pause/resume/stop — clean checkpointing with real-time state transitions
  • GitHub issue integration — start from issues, auto-post progress, link PRs, close on completion
  • Parallel pipelines — run N pipelines concurrently in isolated git worktrees
  • Agent prompt overlays — customize agent instructions per-project without modifying core templates

Requirements

Documentation

Full documentation, dashboard setup, and configuration reference: GitHub repository

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

worca_cc-0.7.0rc3.tar.gz (282.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

worca_cc-0.7.0rc3-py3-none-any.whl (151.3 kB view details)

Uploaded Python 3

File details

Details for the file worca_cc-0.7.0rc3.tar.gz.

File metadata

  • Download URL: worca_cc-0.7.0rc3.tar.gz
  • Upload date:
  • Size: 282.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for worca_cc-0.7.0rc3.tar.gz
Algorithm Hash digest
SHA256 b67a26d183fd5d5989c721dabe51f064943ad5501ee42856aaa37efa794ad1cc
MD5 f2f2a2215acb69b954ec4128816fb26d
BLAKE2b-256 13082acde3f6dcce2090665a102945338ec6c1fc566d3938f62ec71b9b017767

See more details on using hashes here.

Provenance

The following attestation bundles were made for worca_cc-0.7.0rc3.tar.gz:

Publisher: release-pypi.yml on SinishaDjukic/worca-cc

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file worca_cc-0.7.0rc3-py3-none-any.whl.

File metadata

  • Download URL: worca_cc-0.7.0rc3-py3-none-any.whl
  • Upload date:
  • Size: 151.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for worca_cc-0.7.0rc3-py3-none-any.whl
Algorithm Hash digest
SHA256 c22a9599299cf33bb7eaf8afbe0c44832ad11d162448e4da81c834904a6e72e6
MD5 ac300ce8c2ed9b57718e2c41884a3231
BLAKE2b-256 8331dae6561fc9cbfff4e01bb9258393a8ac15f9fb2374baf67b6487ef0fec5f

See more details on using hashes here.

Provenance

The following attestation bundles were made for worca_cc-0.7.0rc3-py3-none-any.whl:

Publisher: release-pypi.yml on SinishaDjukic/worca-cc

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page