Gemini Development Toolkit Guide

Overview

This document serves as the definitive set of guidelines and best practices for development within a project utilizing Gemini AI assistance. It establishes standards for code structure, branching strategy, testing rigor, and documentation governance to ensure high-quality, maintainable software.

Capabilities

• Code Quality Enforcement: Mandates strict coding patterns (e.g., functions under 50 lines, low cyclomatic complexity) and discourages technical debt like any types.
• Workflow Standardization: Enforces a Trunk-Based Development model with specific branch naming conventions (feature/, fix/) and Conventional Commits.
• Testing Rigor: Sets a high bar for test coverage (>80%) focusing on business logic, edge cases, and integration points.
• Security First: Prioritizes security by requiring vulnerability scans for critical issues and prohibiting credential exposure.
• Documentation Governance: Dictates where documentation belongs (e.g., CHANGELOG, PR descriptions) to keep the root directory clean.

Example Use Cases

1. Code Review Assistant: When reviewing a pull request, this agent can check if the proposed changes adhere to complexity limits and type safety rules.
2. Workflow Validator: It ensures that developers follow the required commit structure (e.g., feat:, fix:) before merging to main.
3. Project Onboarding: New team members can use this guide as a single source of truth for adopting the project's development lifecycle.