dev-lifecycle

Guide software development from design through deployment with AI orchestration.

18|3|Updated Jul 3, 2020

Search Tags:#automation #testing #code review #deployment #CI/CD #software development #dev-lifecycle

Ready to run

npx skills add https://github.com/jguadagno/jjgnet-broadcast --skill dev-lifecycle-jguadagno

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dev-lifecycle
Source: https://github.com/jguadagno/jjgnet-broadcast/tree/main/.agents/skills/dev-lifecycle
Command: npx skills add https://github.com/jguadagno/jjgnet-broadcast --skill dev-lifecycle-jguadagno

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the entire software development process by coordinating design, implementation, testing, review, and deployment within a continuous conversation, reducing manual effort and improving productivity.

Core Features & Use Cases

Full Lifecycle Management: Guides developers through phases from interrogating requirements to shipping code.
Context-Aware Automation: Loads industry best practices, process learnings, and codebase patterns to ensure quality.
Use Case: Developers can use this Skill to automate the build-and-deploy cycle for new features, ensuring best practices and catching potential issues early.

Quick Start

Ask the AI to initiate the development cycle for a new feature or bug fix, describing your goal in plain language; the Skill will guide through activation, planning, scaffolding, building, testing, reviewing, and shipping automatically.

Frequently Asked Questions about dev-lifecycle

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate the software development lifecycle from design to deployment?▼

You can automate the development lifecycle by describing your feature or bug fix goal in plain language; the Skill then automatically guides you through planning, scaffolding, building, testing, reviewing, and shipping your code with AI orchestration.

What is AI orchestration for software development and how does it work?▼

AI orchestration for software development works by loading industry best practices, process learnings, and codebase patterns contextually, ensuring adherence to quality standards and capturing lessons learned for continuous improvement throughout the build cycle.

Can I use this development lifecycle approach for both new features and bug fixes?▼

Yes, this development lifecycle approach supports both new features and bug fixes by initiating the development cycle based on your plain language goal description, automatically guiding through scaffolding, building, testing, reviewing, and shipping.

What is the best way to ensure code review and testing best practices are followed during deployment?▼

To ensure code review and testing best practices are followed during deployment, this Skill automatically loads industry standards and process learnings to guide testing and review phases, catching potential issues early before shipping.

Do I need CI/CD pipelines configured to use an automated development lifecycle Skill?▼

While the Skill orchestrates deployment and shipping within the conversation, having CI/CD pipelines configured enhances the automated deployment phase, ensuring smoother transitions from code review to production.

How does context-aware automation improve the software build-and-deploy cycle?▼

Context-aware automation improves the build-and-deploy cycle by loading process learnings and codebase patterns to ensure quality adherence and capture lessons learned, reducing manual effort and catching potential issues early in development.