AI can help you build Atlassian Forge apps faster — but speed alone doesn't guarantee a good app.
In this video, we look at the practices that make AI-assisted Forge development more reliable, maintainable, and easier to scale.
Whether you're using Claude Code or another AI coding tool, the same fundamentals still matter: clear requirements, good documentation, reusable instructions, stakeholder feedback, and proper testing.
In this video, we cover:
✅ Why requirements and documentation still matter when using AI
✅ How to keep stakeholders involved throughout development
✅ Why you should create reusable recipes/instructions for AI coding tools
✅ How test-driven development can improve Forge apps
✅ How to move from AI-generated code to production-ready applications
✅ Practical ways to make your Forge development process more consistent
AI can accelerate development — but it doesn't replace the thinking that goes into building a good application.
If you're developing Atlassian Forge apps, this is a process worth adding to your development workflow.
What part of AI-assisted Forge development has been the biggest challenge for you? Let us know in the comments.
#AtlassianForge #ForgeApps #AICoding
