Modern Development

AI-Assisted Development

LLM Integration Points

• Code Generation

• Code Review

• Documentation

• Security Analysis

• Testing Strategy

Development Workflow

graph LR
    A[Code] --> B[AI Review]
    B --> C[Human Review]
    C --> D[Automated Tests]
    D --> E[Security Scan]
    E --> F[Deploy]

Code Quality Gates

Pre-commit Checks

repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
  rev: v4.5.0
  hooks:
    - id: trailing-whitespace
    - id: end-of-file-fixer
    - id: check-yaml
- repo: local
  hooks:
    - id: ai-code-review
      name: AI Code Review
      entry: copilot-cli suggest
      language: system
      types: [python, javascript, typescript]

Automated Code Review

• Style Guide Enforcement

• Best Practice Validation

• Security Pattern Detection

• Performance Analysis

Modern Testing Approaches

Property-Based Testing

from hypothesis import given, strategies as st

@given(st.integers(), st.integers())
def test_addition_properties(x, y):
    assert isinstance(x + y, int)
    assert x + y == y + x

AI-Driven Test Generation

• Test Case Suggestions

• Edge Case Detection

• Coverage Analysis

• Test Maintenance

Security Integration

Continuous Security

• SAST/DAST Integration

• Dependency Scanning

• License Compliance

• Vulnerability Management

Zero Trust Development

• Ephemeral Environments

• Just-in-Time Access

• Audit Logging

• Policy Enforcement

Best Practices

1. Code Generation

   • AI-assisted scaffolding

   • Template customization

   • Style consistency

   • Documentation generation

2. Review Process

   • Automated first pass

   • Human oversight

   • Security validation

   • Performance analysis

3. Testing Strategy

   • AI-generated test cases

   • Property-based testing

   • Mutation testing

   • Integration validation