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TechAICodeReview

Review Python, Bash, Terraform, Java, and Node.js/TypeScript code for anti-patterns and security flaws.

1|Updated Feb 6, 2026
Search Tags:#quality assurance#code review#linting#security#python#terraform#ai assistant
One-click install
npx skills add https://github.com/pagopa/cloud-strategy.github --skill techaicodereview
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: TechAICodeReview
Source: https://github.com/pagopa/cloud-strategy.github/tree/main/.github/skills/tech-ai-code-review
Command: npx skills add https://github.com/pagopa/cloud-strategy.github --skill techaicodereview

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of code review, identifying anti-patterns, enforcing quality gates, and ensuring adherence to coding standards across multiple programming languages.

Core Features & Use Cases

  • Comprehensive Code Scrutiny: Performs line-level analysis for anti-patterns, security vulnerabilities, and stylistic inconsistencies.
  • Multi-Language Support: Analyzes Python, Bash, Terraform, Java, and Node.js/TypeScript code.
  • Severity-Based Findings: Classifies issues into Critical, Major, Minor, Nit, and Notes for prioritized action.
  • Use Case: When a pull request is submitted, use this Skill to automatically flag potential security flaws, critical bugs, and style violations before human review, saving valuable developer time.

Quick Start

Use the TechAICodeReview skill to review the code changes in the current pull request.

Frequently Asked Questions about TechAICodeReview

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

FAQPage Schema
How do I automate code review for Python and Terraform pull requests?▼

To automate code review, use this Skill to perform line-level analysis on your Python and Terraform codebases, identifying anti-patterns and security flaws with severity-based findings for prioritized remediation.

What programming languages does automated AI code review support?▼

Automated AI code review supports Python, Bash, Terraform, Java, and Node.js/TypeScript codebases. It scrutinizes these languages for stylistic inconsistencies, security vulnerabilities, and anti-patterns based on predefined catalogs.

How are security vulnerabilities and code quality issues prioritized during review?▼

Security vulnerabilities and code quality issues are prioritized by classifying findings into Critical, Major, Minor, Nit, and Notes severity levels. This severity-based classification enables developers to take prioritized action on identified deviations.

Can I use automated code review to enforce quality gates before human review?▼

You can use automated code review to enforce quality gates by flagging potential security flaws, critical bugs, and style violations before human review. This saves valuable developer time during the pull request process.

Does automated code review work with Node.js and Java codebases?▼

Automated code review works with Node.js/TypeScript and Java codebases, alongside Python, Bash, and Terraform. It identifies security flaws and quality deviations based on predefined escalation rules across these supported languages.

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