{"repo":"popescualextraian/shipped-by-agents","free":true,"listed":false,"github":"https://github.com/popescualextraian/shipped-by-agents","clone":"git clone https://github.com/popescualextraian/shipped-by-agents.git","description":"The building blocks of an enterprise adoption framework for agentic coding — technical training, adoption playbooks, governance policies, industry analysis, proposal templates, and practical workflows. From understanding how AI agents work to rolling them out across teams. Built for leaders driving adoption.","language":"Python","stars":29,"topics":["agentic-coding","ai-adoption","ai-agents","ai-development","claude","copilot","developer-productivity","llm","prompt-engineering","software-engineering"],"license":null,"category":"ai-agents","readme_excerpt":"shipped-by-agents A practical playbook for adopting AI coding agents in real engineering organizations. Most teams are experimenting with AI coding tools. Few have a clear strategy for adopting AI agents in their development workflows. This repository is a structured guide for engineers, architects, and engineering leaders who want to move from experimentation to repeatable adoption . ⭐ If this repository helps you, please consider giving it a star. It helps more teams discover the guide. --- Structure Section What's inside ------------------------------ ---------------------------------------------------------------------------------------------- quick-paths/ Quick-start recipes — short, actionable guides for common dev tasks with AI agents technical/ Training materials — how agents work, prompt engineering, and agent-driven coding workflows repository/ Shared repository — reusable solutions, patterns, ideas, and lessons learned from teams process/ The framework — adoption process, team roles, maturity model, and rollout playbooks articles/ Analysis and comparisons — adoption models, industry approaches, trade-offs --- Who this is for This repository is intended for people involved in software engineering and AI adoption . Typical readers include: Engineers evaluating AI adoption Developers experimenting with AI coding agents Software engineers designing AI-assisted development workflows Internal AI champions driving adoption initiatives --- For people implementing AI adopti","default_branch":null,"files":null,"tree":[],"storefront":"/r/popescualextraian","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/popescualextraian/shipped-by-agents/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}