Lab

Mon, 01 Jan 0001 00:00:00 +0000

Time budget: ~20 min | Day 2 AM (shared with M05)

Learning Objectives

Convert a user story into a complete development package using AI across the full software development lifecycle — from requirements through documentation.

Concept Review: AI Across the SDLC

AI augments every phase — but doesn’t replace human judgment

SDLC Phase	What AI Can Do	What Humans Must Do
Requirements	Expand user stories, draft acceptance criteria, identify edge cases from patterns	Validate against domain knowledge, prioritize based on business value
Design	Propose architecture, generate API contracts, suggest data models	Choose between trade-offs, ensure alignment with existing systems
Implementation	Generate code, refactor, complete patterns (M03)	Review every line, ensure business logic correctness
Testing	Generate test cases, identify edge cases (M07)	Add domain-specific tests, verify test quality
Documentation	Generate API docs, READMEs, code comments	Add context only humans know (why decisions were made)
Deployment	Generate CI/CD configs, IaC templates (M08)	Verify against infrastructure, test in staging

The Golden Rule

AI drafts → Human reviews → Human owns. Document AI involvement: git commit -m "feat: add password reset (AI-assisted)"

M04: AI in the Software Development Lifecycle on Generative AI Boot Camp for Developers

Lab

Learning Objectives

Concept Review: AI Across the SDLC

AI augments every phase — but doesn’t replace human judgment

The Golden Rule