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
- Code Generation
- AI-assisted scaffolding
- Template customization
- Style consistency
- Documentation generation
- Review Process
- Automated first pass
- Human oversight
- Security validation
- Performance analysis
- Testing Strategy
- AI-generated test cases
- Property-based testing
- Mutation testing
- Integration validation