Blogs

Jira has become the backbone of modern team collaboration, helping organizations plan projects, manage workflows, and deliver value faster. But as businesses grow, their processes become more unique, complex, and demanding. The question is no longer just, “How can Jira help us manage work?” It becomes, “How can Jira adapt…

Custom AI models deliver business value only when they are deployed, monitored, and continuously improved through a mature MLOps strategy. MLOps best practices ensure reliable AI model deployment, automated monitoring, governance, and lifecycle management, helping organizations reduce operational risks while accelerating AI innovation. For enterprises scaling AI initiatives, MLOps is…

Organizations should integrate cybersecurity into every stage of digital transformation, not add it later. Building security from day one reduces business risk, accelerates compliance, strengthens customer trust, and enables faster innovation without compromising resilience. As enterprises adopt AI, cloud platforms, automation, and connected systems, cyber threats become more sophisticated. A…

Organizations are combining RPA, Artificial Intelligence (AI), and agentic AI systems to automate complex business workflows, improve decision-making, and reduce operational costs. Enterprises evaluating digital transformation initiatives should prioritize integrated hyperautomation platforms over standalone automation tools. Businesses that adopt this approach gain faster execution, intelligent orchestration, and continuous process optimization…

Advanced Security (GHAS) (GH-500) is where the exam stops asking “do you know this feature exists” and starts asking “do you understand why it matters.” You’re covering secret scanning, code scanning, CodeQL, and Dependabot, but the questions aren’t just “where do you enable X.” They’re scenario-based: given this situation, what’s…

Okay, this is where the vibe shifts. Administration is not a “skim the docs the night before” exam, it’s genuinely dense. The core challenge here is scope. GitHub settings exist at three different levels repository, organization, and enterprise and this exam loves testing whether you know which setting lives where…

Organizations achieve better outcomes with agentic AI when they establish an AI Center of Excellence (AI CoE) before scaling enterprise-wide deployments. An AI CoE provides governance, reusable frameworks, security standards, and business alignment that enable AI initiatives to move from isolated pilots to measurable business value. Many enterprises launch AI…

This one surprised me. I knew this exam would be more on the tricky side rather than a straightforward one. You need to know the limits and responsible use of AI (Spoiler alert – that is the first chapter in the Certification syllabus) The Copilot exam is really testing whether…

If you’re nervous about starting your GitHub certification journey, start here. Foundations was, hands down, the friendliest exam of the five, and honestly it should be rather I must say it’s the gateway into the rest of them. This exam isn’t testing you on configs or YAML files. It’s testing…

Last month I cleared all 5 GitHub Certifications. I’m writing this post for the version of me that started this journey confused about where to begin, and what “studying for GitHub” actually looks like when there’s no textbook to fall back on. If you’re standing where I was, this should…

Retrieval-Augmented Generation (RAG) has evolved from an emerging AI concept into a practical enterprise technology. In 2026, organizations are no longer asking whether they should adopt RAG—they are evaluating how to deploy it securely, accurately, and at scale. By combining large language models (LLMs) with real-time access to trusted business…

Agentic AI is the next evolution of enterprise artificial intelligence. Unlike AI copilots that assist users by answering questions or generating content, agentic AI can plan, make decisions, execute tasks, and adapt to changing situations with minimal human intervention. In enterprise IT, this means AI is evolving from a productivity…

What if building an app for Jira was as simple as writing your business logic and running a few CLI commands? No servers. No deployment pipelines. No authentication headaches. Just code, deploy, and install. Today, most cloud-based tools are moving toward this simple way of building extensions and integrations. What…

As organizations embrace DevSecOps, protecting sensitive credentials has become just as important as securing source code. Every modern application depends on secrets such as API keys, cloud credentials, database passwords, certificates, and service tokens. If these secrets are exposed, the impact can range from unauthorized access to complete infrastructure compromise…

Software development doesn’t slow down, and GitLab’s 19.0 release feels like a deliberate attempt to keep pace. It leans harder into AI assistance, tightens up security tooling, and gives platform teams better visibility into how their pipelines are actually being used. Nothing here feels revolutionary on its own, but together…

Most IT teams spend a large part of their day handling the same kinds of support requests over and over again. This slows down response times and increases workload. The Virtual Service Agent in Jira Service Management reduces this effort by handling common requests automatically and guiding users to quick…

Imagine a customer has a critical issue and needs help immediately. Would they rather submit a ticket and wait for a response, or connect with a support agent instantly? For most users, the answer is obvious-and that’s exactly why Live Chat has become an essential feature in modern service management…

Organizations today face increasing pressure to improve productivity, accelerate decision-making, and optimize operations while managing growing complexity. Traditional automation has helped streamline repetitive tasks, but businesses now require more intelligent systems capable of adapting, reasoning, and acting autonomously. This is where Agentic AI and Hyperautomation are transforming the enterprise landscape…

AI is becoming a core part of everyday work, but teams need more than content generation tools. They need practical assistance that helps them manage projects, documentation, support operations, and development workflows more efficiently. Atlassian Rovo delivers exactly that. Integrated across Jira, Confluence, Jira Service Management, and Bitbucket, Rovo helps…

Agentic AI delivers measurable business value by enabling autonomous, multi-step task execution without constant human intervention. For modern enterprises, this means faster operations, smarter decisions, and compounding competitive advantage. What Is Agentic AI and Why Does It Matter Now? Agentic AI refers to AI systems that can plan, reason, and…

We helped a client transform change management in Jira Service Management so internal teams and external vendors could work together in one controlled, auditable workflow. By centralizing communication, automating approvals and notifications, and avoiding unnecessary agent licensing for external users, the client improved speed, governance, visibility, and cost efficiency. Customer…

Starting June 1, 2026, GitHub Copilot replaces its “premium request” allowance model with GitHub AI Credits — a token-based system where you pay for exactly how much the AI computes on your behalf. Here’s a clear, developer-friendly breakdown of what changes, what stays the same, and how to prepare. What’s…

Note: The numbers in this post are illustrative and based on a representative enterprise scenario. They are designed to reflect realistic usage patterns and cost dynamics — not data from any specific organization. Introduction GitHub is making a significant shift in how it bills for Copilot usage. Starting June 1, 2026, 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…

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:…

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…

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…

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…

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 Comes with Premium plans Gives suggestions, insights, and helps draft content Great for brainstorming or exploring ideas Examples:…

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…