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agentic coding

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Basic Information

This repository is a curated collection of rules, prompt templates, server configurations and examples intended to support agentic coding workflows. It gathers practical artifacts for working with modern coding agents such as Cline and Claude Code and includes advice on interacting with other agentic tools like Amazon Kiro. The repo hosts recommendations for MCP servers, an example MCP DevTools client configuration file, directories of agent rules and workflows, and a SubAgents folder for reusable sub-agent definitions. It is designed to serve as a resource library for people who build, configure or iterate on coding agents and their orchestration, offering patterns, operational guidance and concrete config examples to speed setup and standardize behavior across projects. The project is licensed under Apache 2.0.

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App URL
https://github.com/sammcj/agentic-coding
Github Repository
https://github.com/sammcj/agentic-coding/blob/main/README.md

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App Details

Features
Contains curated rule sets and prompt templates organized under Cline and related directories, including a collection of agent rules and workflows. Provides an example MCP DevTools client configuration file to integrate common tooling with MCP servers. Includes Kiro specific guidance and a SubAgents directory for defining callable sub-agents and shared behaviors. Offers practical tips for writing rules such as use of pseudo-XML structure, rule toggling conventions, and project specific rules files. Includes visual examples such as a screenshot demonstrating rule toggling. Links to a documented workflow pattern and external blog guidance are referenced. The material emphasizes portability so many rules can be reused across agentic coding tools.
Use Cases
The repository helps practitioners by collecting reusable components that reduce setup time and improve consistency when using coding agents. Users can adopt ready-made rules, workflows and an MCP DevTools configuration to standardize agent behavior and integrate common utilities. Practical writing tips and examples help authors craft clearer, more effective rules, including use of structured pseudo-XML and guidance on enabling only relevant rules to reduce noise. Sub-agent definitions support modular agent design so teams can compose specialized workers for distinct tasks. Advice on post-fix summaries and creating short prompts for future prevention aids debugging and knowledge capture. Overall it serves as a practical reference for improving reliability and repeatability in agentic coding efforts.

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