Agentic Code offers a systematic approach for AI coding, leveraging the AGENTS.md compliant framework to enable reliable development with language model (LLM) tools. Designed for ease of use, this framework allows users to generate complex software solutions efficiently by simply describing their needs in natural language.

Key Features

• Zero Configuration: No setup is required. Pre-built workflows facilitate immediate use, eliminating the need to learn any new frameworks.
• Universal Compatibility: Works seamlessly with any programming language and any AI tool that supports AGENTS.md.
• Test-First Approach: Starting from version 0.2, the framework generates test skeletons before implementing code, ensuring that functionality is validated from the outset.
• Smart Scaling: Depending on the task complexity, Agentic Code can execute simple tasks directly or manage multi-step workflows that require user approvals.

Framework Structure

Agentic Code is organized into three primary components:

1. Tasks: Define what needs to be built.
2. Workflows: Define the processes to construct the solution.
3. Rules: Establish quality standards for the development process.

Example Workflows

• Simple Task Example:

  You: "Add API endpoint for user search"  
  # AI: Reads existing code → Plans changes → Tests → Implements → Done
  

• Complex Feature Example:

  You: "Build user authentication system"  
  # AI: Requirements → Design doc → Your approval → Test skeletons →  
  # Implementation → Quality checks → Done
  

Benefits of Using Agentic Code

By providing structured workflows that automatically guide the AI, Agentic Code overcomes common challenges faced in AI-assisted coding, such as the AI losing context, overlooking tests, or neglecting quality assurance standards. Users maintain control during significant decisions through integrated approval points, ensuring that the development process aligns with their standards and objectives.

Built upon the AGENTS.md standard, this framework not only enhances productivity but also brings professionalism back to AI-assisted development, making chaotic coding sessions a thing of the past.