What are the primary blockers to reaching ZTE?

Common blockers include low test coverage, inconsistent success rates on first attempts, and the lack of automated rollback capabilities if an autonomous change fails.

What is Zero-Touch Engineering (ZTE) in AI coding?

ZTE is the highest level of agentic maturity where an AI agent handles a task from prompt to completion with full automation, requiring no manual review before deployment.

How does this skill determine my agentic maturity level?

It analyzes your workflow patterns, such as how often you interact with the agent (In-Loop), whether you are reviewing 'AFK' work (Out-Loop), and your current test success rates.

Is it safe to move directly to Zero-Touch Engineering?

No, the skill identifies 'skipping levels' as an anti-pattern. It recommends moving from In-Loop to Out-Loop first to build confidence and ensure tests catch issues before enabling full ZTE.

Zero-Touch Engineering Progression

Name: Zero-Touch Engineering Progression
Author: melodic-software

bymelodic-software

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배포 및 DevOps

Guides development teams through increasing levels of agentic maturity from manual prompting to fully autonomous zero-touch engineering.

소개

The ZTE Progression skill provides a structured framework for teams to transition from interactive AI assistance to full autonomous operation. It assesses current agentic maturity across three levels—In-Loop, Out-Loop, and Zero-Touch—by analyzing workflow indicators, KPI data, and success metrics. By identifying specific technical blockers like insufficient test coverage or high review catch rates, this skill offers actionable roadmaps for scaling automation and building the confidence necessary for AI agents to ship code independently.

주요 기능

Structured roadmaps for moving to higher automation levels
Three-tier agentic maturity assessment (In-Loop, Out-Loop, ZTE)
KPI tracking for agentic success rates and review catch rates
1 GitHub stars
Identification of automation blockers such as low test coverage
Anti-pattern detection for premature automation and review theater

사용 사례

Identifying why AI-driven workflows are failing to reach production
Assessing if a development workflow is ready for autonomous operation
Planning the progression from interactive coding to automated maintenance tasks

소개

주요 기능

Structured roadmaps for moving to higher automation levels
Three-tier agentic maturity assessment (In-Loop, Out-Loop, ZTE)
KPI tracking for agentic success rates and review catch rates
1 GitHub stars
Identification of automation blockers such as low test coverage
Anti-pattern detection for premature automation and review theater

사용 사례

Identifying why AI-driven workflows are failing to reach production
Assessing if a development workflow is ready for autonomous operation
Planning the progression from interactive coding to automated maintenance tasks