Getting Started with AI-Assisted Development
AI development tools help you write code, create documentation, review work, and automate repetitive tasks — faster and with higher quality. This guide gets you from zero to your first result in under 10 minutes.
What is AI-assisted development?
You describe
Tell AI what you need in plain language: "write unit tests for this service" or "create a sprint planning agenda".
AI generates
AI produces a draft following your team's standards and best practices — code, tests, documents, or analysis.
You review
You review, refine, and approve the result. AI accelerates your work — you stay in control.
3 steps to get started
Install an AI tool
Choose one AI-assisted development tool and install it. Both work with any programming language and any project.
Pick your role
Are you a Developer, QA Engineer, Business Analyst, Project Manager, or Solutions Architect? The portal will show content relevant to your role.
Try your first skill
A skill is a structured instruction set that guides AI to help you with a specific task — like writing tests, reviewing code, or creating requirements.
Step 1: Install an AI tool
Pick one. You can always switch later. Both integrate with your existing IDE and workflow.
Claude Code
Anthropic's CLI for AI-assisted development. Works in any terminal.
npm install -g @anthropic-ai/claude-codeSkills are installed in .claude/skills/ in your project
Cursor
AI-native code editor built on VS Code. Works with any language.
Download from cursor.comSkills are installed in .cursor/skills/ in your project
Step 2: Pick your role
The portal organizes content by role. Select yours on the home page to see what's relevant to you.
Step 3: Try your first skill
Here's the best starting skill for each role — chosen for low risk and immediate value:
Take a piece of code you wrote recently and let AI suggest improvements. Low risk — your tests stay green.
Give AI a requirement and it generates structured test cases. Compare with what you'd write manually.
Describe a feature and AI creates user stories with acceptance criteria. Refine from there.
Use AI to prepare sprint planning materials — capacity analysis, story selection, goal setting.
Describe a system and AI helps create ADRs, service architecture, and API contracts.
Important: What AI does NOT replace
- ⚠️Your judgment. Always read and understand AI-generated code before committing. AI can produce plausible but incorrect output.
- ⚠️Security review. Never deploy AI-generated authentication, encryption, or access control code without human review.
- ⚠️Testing. AI-generated tests must actually verify behavior. Check that they fail when the code is broken, not just pass trivially.
- ⚠️Dependencies. AI may suggest non-existent libraries or outdated versions. Always verify imports and dependency versions.
Or use the AI Advisor on the home page to describe your task