DevFlow Command Center CLI - Synchronized project execution control for AI-powered development
Interactive CLI for branch creation, conventional commits, and PR management
Fixture runner for deterministic Aptos Devflow report generation.
Report parsing and formatting helpers for Aptos Devflow JSON and summary outputs.
CLI utility to bootstrap a complete DevFlow in any repo: Git hooks, commit convention, lint/format, tests, typecheck, CI/CD, releases, security, Docker, monorepo support
MCP server that connects Jira (Cloud + Server) with GitHub/GitLab to automate your dev workflow. Branch creation, issue transitions, PR/MR generation, and custom flow playbooks — all from your AI assistant.
一个功能强大的React库，用于构建数据驱动的应用程序，支持实时通信、身份验证和数据库操作
DevFlow Command Center MCP Server - Agent integration for Claude Code
DevFlow CLI - AI-Powered Development Workflow Engine
Shared utilities for MCP Jira DevFlow
Context-First Kanban for AI Agents - MCP server with web UI for managing AI agent workflows
CLI pipeline for structured software development — from PRD to merge
MCP server for Jira integration with AI-powered DevFlow automation
A demo nodeJS client library used to demonstrate CI/CD principles. You can use it as a template.
MCP server for Jira integration with AI-powered DevFlow automation
Autenticação JWT modular para Node.js com suporte a refresh token, cookies HTTP-only, bcrypt e middleware Express.
Portable AI development workflow kit with a universal core and optional adapters
Development workflow automation with Claude Code - agent-based development system with cost tracking
Automated GitLab pipeline with SonarQube AI auto-fix and conventional commit messages
AI-powered Git workflow automation using GitHub Copilot CLI
Player5: hackathon devflow in a box (testing, README sync, Devpost, Playwright wizard).
Context-optimized workflow enforcement plugin for Claude Code - ~78% token savings with 14-phase quality gates
AI-Powered Development Workflow Tool
A powerful CLI tool for validating and enforcing development workflow best practices in Node.js projects