Category: Canarys

  • From Prompts to Personalities: The Art of Agent Customization – GitHub Copilot

    Recently, I was exploring how AI systems actually work beyond just prompts. Initially, my thinking was very simple: “If I write better prompts, I’ll get better results.” But as I started learning more, I realized… I’ve been looking at AI in a very limited way. The biggest realization for me was this: AI is not…

  • Why Did My GitHub Copilot Suddenly Start Talking About Credits

    Imagine this story of two developers Rahul is a developer working on a normal Monday morning.He opens VS Code, asks GitHub Copilot to generate a small API function, accepts a few code suggestions, and moves on. Meanwhile, Priya on another team is doing something completely different. She asks Copilot to: Under the old billing model……

  • GitHub Copilot Usage-Based Billing (UBB): The Complete Guide

    GitHub is evolving how it bills for AI. Starting June 1, 2026, GitHub Copilot is transitioning from a “Premium Request” model to Usage-Based Billing (UBB). This shift replaces flat-rate requests with a more flexible GitHub AI Credits system. Whether you are a solo developer or managing an enterprise, understanding these changes is essential for controlling…

  • Mastering Token Efficiency in GitHub Copilot

    AI is now woven into most development workflows — and with GitHub Copilot switching to usage-based billing, how you use it matters as much as whether you use it. Every prompt, every response, every piece of context costs something. The question shifts from “Does it work?” to “Is it worth what it costs?” Why Token…

  • Confused Between Team-Managed and Company-Managed in Jira? Read This First

    When you first create a project in Jira, it feels like an easy choice-Team-managed or Company-managed. You might pick one without thinking much. Later, you realized that small decision changes how everything works and switching back isn’t easy. That’s why it’s important to understand the difference right from the start. How to Check If Your…

  • Atlassian Rovo vs Intelligence  Which AI should you pay

    If you’ve used Atlassian recently, you might have noticed two AI options: Atlassian Intelligence and Rovo Agents. Which one should you actually use? Let’s break it down. What’s the Difference? Atlassian Intelligence Examples: 2. Get suggestions and helps draft content Rovo Agents Example: Intelligence helps you think. Rovo helps you get things done To know…

  • Rovo AI in Jira: Guide for Jira Beginner

    In today’s world almost everything is becoming smarter with AI, so why should Jira stay behind? To keep up with this shift Atlassian has introduced Rovo AI in Jira-bringing intelligent automation directly into everyday workflows to reduce manual work. Jira is not just for tracking issues anymore, it’s now helps teams work better and get…

  • How to Build Your First Rovo Agent Without Coding

    A Step-by-Step Guide for Teams Ready to Automate Smarter with Atlassian AI Imagine having a dedicated team member available 24/7 – one that instantly answers your team’s questions, automates repetitive tasks, and connects the dots across all your Atlassian tools. That’s exactly what Atlassian Rovo Agents offer. The best part? You don’t need to write…

  • Jira Service Management:

    The Service Desk Built for Everyone What started as an IT ticketing tool has become the operating layer for how modern businesses run their internal services — from HR onboarding to legal contract requests. What is Jira Service Management? Jira Service Management (JSM) is Atlassian’s enterprise service management platform — built on top of Jira…

  • ATLASSIAN CONFLUENCE – The Complete Guide: Editions, Features & AI Capabilities – Part 2

    In the previous blog, we explored the different editions of Confluence Cloud and their core capabilities. In this blog, let us look at the AI features, security, governance and integration with Jira. AI Features in Confluence Cloud Atlassian’s AI strategy in Confluence is anchored by two core systems: Atlassian Intelligence — the foundational AI layer…