agentic-engineering-workflow

Select an AI harness and apply a structured MVP development workflow.

Updated Jun 1, 2026

Search Tags:#workflow #ai #agentic #software-engineering #context-management #harness #review-loops

Ready to run

npx skills add https://github.com/manjunathva2018/urban-invention --skill agentic-engineering-workflow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agentic-engineering-workflow
Source: https://github.com/manjunathva2018/urban-invention/tree/main/agentic-engineering-workflow
Command: npx skills add https://github.com/manjunathva2018/urban-invention --skill agentic-engineering-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured, end-to-end workflow for building software with AI agents, keeping humans in control, saturating context discipline, and maintaining tight feedback loops to reduce drift and misalignment.

Core Features & Use Cases

Harness selection and environment discipline for reliable AI coding sessions.
Guided iterative development with small, reviewable units and built-in cleanup passes.
Security guardrails and risk mitigation baked into the workflow for safer AI-assisted engineering.

Quick Start

Set up a minimal end-to-end agentic workflow with a chosen harness and strict context discipline.

Frequently Asked Questions about agentic-engineering-workflow

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

FAQPage Schema

What is an agentic software engineering workflow?▼

An agentic software engineering workflow is a structured, end-to-end process for building software with AI agents. It maintains human control by applying tight context management, iterative review loops, and security guardrails to reduce drift and misalignment.

How do I build an MVP with AI agents while maintaining context discipline?▼

To build an MVP with AI agents, you select a core execution harness, saturate context discipline, and implement iterative reviews. The workflow ensures you build a smallest working feature, perform a cleanup pass, and execute verification steps before release.

How does context management prevent AI coding drift during software development?▼

Context management prevents AI coding drift by constraining the execution environment and enforcing tight feedback loops. This discipline keeps the AI agent aligned with human intent, ensuring iterative reviews and security guardrails catch misalignment early.

Do I need a specific AI harness to use an agentic engineering workflow?▼

You need an AI harness for the agentic engineering workflow, but it is not strictly predefined. The workflow's first step is to identify the strongest AI harness available and establish it as your core execution environment for reliable coding sessions.

What's the best way to structure iterative reviews for AI-assisted software development?▼

The best way to structure iterative reviews for AI-assisted software development is to break the work into small, reviewable units. The workflow includes a cleanup pass and built-in verification steps before release to ensure security guardrails and risk mitigation are maintained.

When should I not use a fully agentic workflow for software engineering?▼

You should reconsider an agentic workflow if your project lacks clear scope for a smallest working feature or cannot support iterative reviews. Without strict context discipline and security guardrails, the risk of AI drift and misalignment in the development process increases significantly.