This year, we’re excited to participate in Atlassian Codegeist 2025 with our newest project – Monkey SQL, an AI-powered analytics engine designed for Rovo. Monkey SQL turns your Jira data into real SQL, enabling teams to:
- analyze issues, components, cycles, versions, time, escalations
- detect patterns the moment they appear
- run fully auditable queries (no black-box AI)
- uncover dependencies, risks, and hotspots in seconds
All without building pipelines or writing scripts.
But the fun part? Monkey SQL isn’t just a feature — it’s a character. A street-smart data hacker who can look at your Jira mess and say:
“Don’t worry, I got this.”
And he really does. By the way, here it is:
This app helps you to surfe arround in Jira and get best responses using both strengths from Rovo and SQL )
What makes Monkey SQL stand out
- It transforms natural language into clean, transparent SQL
- It works across multiple Atlassian products
- It blends the strengths of Rovo AI + KintoSoft’s enterprise analytics
- It helps teams find insights they didn’t even know existed
Whether you’re tracking quality, dependencies, delivery flow, or performance, Monkey SQL gives you the truth straight from your data.
With AI-powered analytics becoming a core part of modern engineering, we wanted to create a tool that combines:
- the flexibility of SQL
- the intelligence of Rovo
- the reliability required by real enterprise teams
Check Out Our Codegeist Submission!
You can explore the full project here:
👉 https://devpost.com/software/monkey-sql
We’re incredibly proud of what we built — and even more excited about what’s coming next.
Stay tuned)
Monkey SQL is just getting started 🐒💾✨
— KintoSoft team
