explaingit

stvlynn/agentic-coding

Analysis updated 2026-05-18

20MakefileAudience · developerComplexity · 2/5Setup · easy

TLDR

A language-agnostic starter template that gives an AI coding agent a documentation structure and ground rules before it writes any project code.

Mindmap

mindmap
  root((agentic-coding))
    What it does
      AI-agent project template
      Ground rules doc
    Tech stack
      Docker
      Kubernetes
    Use cases
      Start new AI-built project
      Set agent ground rules
      Reuse architecture conventions
    Audience
      Developers

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Give a new AI-agent-built project a consistent documentation structure from day one.

USE CASE 2

Define ground rules an AI coding agent should follow before writing code.

USE CASE 3

Provide reusable frontend and backend architecture conventions for a new project.

What is it built with?

DockerKubernetes

How does it compare?

stvlynn/agentic-codingdipodidae/resumegenymobile/genymotion_platform_vendor_genymotion_security_public
Stars202513
LanguageMakefileMakefileMakefile
Last pushed2026-06-03
MaintenanceMaintained
Setup difficultyeasymoderatemoderate
Complexity2/52/52/5
Audiencedevelopergeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

It is a documentation skeleton, not a working application.

In plain English

This repository is a starter template for software projects where most of the coding is done by an AI agent rather than a human writing code by hand. It is not tied to any particular programming language or framework: the idea is that you copy the template and fill in details specific to your own project. The template's main contribution is its documentation structure. There is a file called AGENTS.md (also available as CLAUDE.md) that tells any AI agent opening the project what the ground rules are, how the documentation is organized, and how it should evolve over time. The agent reads this file first before writing any code. The docs folder then branches into sections covering the project overview, frontend conventions (using a pattern called Feature-Sliced Design), backend conventions (using Domain-Driven Design layering), CI/CD and deployment guides, testing expectations, and a log of architecture decisions. For a human getting started, the intended steps are to copy the repository, update the placeholder content in the architecture document, and then begin adding code under the structure the docs describe. The deploy folder contains Docker and Kubernetes configuration that is meant to be adapted for each project. The repository is small and the README is brief. It is a skeleton for a workflow, not a finished tool. The README does not mention a license.

Copy-paste prompts

Prompt 1
Read AGENTS.md in this template and follow its rules while building my new project.
Prompt 2
Copy this template's docs structure and help me fill in the architecture decision log for my project.
Prompt 3
Set up the Docker and Kubernetes deploy configuration from this template for my own app.

Frequently asked questions

What is agentic-coding?

A language-agnostic starter template that gives an AI coding agent a documentation structure and ground rules before it writes any project code.

What language is agentic-coding written in?

Mainly Makefile. The stack also includes Docker, Kubernetes.

How hard is agentic-coding to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is agentic-coding for?

Mainly developer.

Open on GitHub → Explain another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.