Beyond Vibe Coding
AI-Assisted Software Development Lifecycle Coverage
Planning &
Requirements
Defining Intent AI
Programming with intent - describing what you want, letting AI handle implementation
Project Scaffolding AI
Automated project setup, file structures, build tools, framework integration
Future Project Management AI
AI-driven task breakdown, timeline estimation, and risk analysis
Design &
Architecture
Human-Led Architecture
Developer as architect and strategist - high-level design decisions and patterns
AI-Driven Prototyping AI
Rapid prototyping for idea validation, UI/UX design from screenshots or descriptions
Database Design AI
AI-assisted schema brainstorming and data model generation
Implementation
& Coding
Core Coding Workflows AI
Exploratory "vibe coding" for speed vs structured "AI-assisted engineering" for quality
Prompt Engineering AI
The art of the prompt - effective communication with AI for high-quality code generation
Full-Stack Development AI
Complete web application roadmap: React/Vue frontends, Node.js/Express APIs, integration glue
Autonomous Agents AI
Next-gen agents handling entire coding tasks from planning to pull requests
Testing &
Quality Assurance
Automated Test Generation AI
AI-generated unit, integration, and end-to-end tests for code verification
Human Validation & Debugging
"Trust, but verify" - reviewing, debugging, and taking ownership of AI-generated code
Performance Testing AI
Identifying and optimizing performance bottlenecks in functionally correct AI code
Security
Identifying Vulnerabilities AI
Common security flaws: SQL injection, XSS, hard-coded secrets, insecure defaults
Security Audits & Reviews AI
Automated scanners, manual reviews, using AI as a second security reviewer
Deployment &
Maintenance
CI/CD Integration AI
Adapting pipelines for faster AI-assisted development with automated testing and security
Reliable Deployment
Best practices: staged rollouts, canary releases, rollback strategies
Managing Technical Debt AI
Maintaining AI codebases: refactoring, documentation, avoiding "house of cards" code
Ethics &
Governance
Intellectual Property
Code ownership, copyright, and open-source license compliance for AI-generated code
Bias & Fairness AI
Addressing AI bias from training data, promoting fairness and inclusivity
Accountability & Transparency
Responsible AI use, transparency about AI involvement, clear accountability for code quality
Legend
AI = AI-Assisted Process
Human-Led Process