A developer shares their experience building a production-ready Rovo AI agent on Atlassian's Forge platform. Starting from a natural language prototype in Rovo Studio, they iterated toward a reliable app by applying the RACE framework (Role, Action, Context, Execute) to structure agent prompts, building custom Forge skills for Confluence integration, and scoping authorization permissions to a dedicated space. Key lessons include avoiding AI-generated API docs in favor of official documentation, using Markdown structure to improve LLM prompt clarity, and sandboxing agent permissions for security.
Table of contents
Finding a Problem to SolveEngineering the AgentPutting the Collaboration to the TestThe MVP Result: Functional, but DryThe Pivot: From Chatting to ArchitectingRefactoring the Agent’s BrainGiving the Agent “Skills”The Transfer of Power: AuthorizationThe Verdict: My AI Teammate is Ready for Day OneCheck out the Rovo Event Planner App here !Sort: