Guides
Introduction
This collection is a hands-on guide to AI-enabled software development, focused on real workflows, not hype. It shows how to work with AI effectively, starting in the editor and expanding outward to your full product delivery process.
👉 Bitovi can help you integrate this into your own SDLC workflow: AI for Software Teams
https://wiki.at.bitovi.com/wiki/spaces/AIEnabledDevelopment/pages/1452376312
https://wiki.at.bitovi.com/wiki/spaces/AIEnabledDevelopment/pages/1452114258
https://wiki.at.bitovi.com/wiki/spaces/AIEnabledDevelopment/pages/1608122389
https://wiki.at.bitovi.com/wiki/spaces/AIEnabledDevelopment/pages/1581219889
https://wiki.at.bitovi.com/wiki/spaces/AIEnabledDevelopment/pages/1705476101
https://wiki.at.bitovi.com/wiki/spaces/AIEnabledDevelopment/pages/1829175318
https://wiki.at.bitovi.com/wiki/spaces/AIEnabledDevelopment/pages/1559429257
https://wiki.at.bitovi.com/wiki/spaces/AIEnabledDevelopment/pages/1555464248
https://wiki.at.bitovi.com/wiki/spaces/AIEnabledDevelopment/pages/1520435217
You’ll learn how to use GitHub Copilot to:
Write clearer, more effective prompts
Control output through better context engineering
Debug code with AI as a thinking partner
Perform faster, more consistent AI-assisted code reviews
Reduce repetition while keeping humans firmly in control
You’ll also learn how to:
Connect Jira tickets, Figma designs, and code into a single AI-assisted flow
Use structured product inputs to drive implementation
Enable “one-shot” feature development with minimal manual glue code
Review, refine, and guide AI-generated work instead of building everything from scratch
The goal
Move faster without losing quality, clarity, or ownership—by letting AI handle the mechanical work and freeing developers to focus on design, decisions, and delivery.