Developers, technical writers, and data scientists think in Markdown. READMEs, API docs, pull request descriptions, and design specs are all written in it. But Confluence — where most of that knowledge ends up living — has no native Markdown support. Pasting Markdown into the WYSIWYG editor produces broken tables, literal asterisks, and lost formatting. This guide walks through the options so you can pick the right Markdown approach for your team without trial and error.

The Atlassian Marketplace has thousands of apps, and installing the wrong one can expose your Jira and Confluence data to a vendor you have never vetted. The good news is that Atlassian surfaces most of what you need to make a safe decision directly on each listing — if you know where to look. This guide is a practical checklist for evaluating any Marketplace app before it lands on your site, written for the admins who get asked "is this app okay to install?" and need to answer with confidence.

Jira and Confluence are the two products most people picture when they hear "Atlassian." They are frequently sold together, deeply integrated, and yet regularly confused — even by teams that use both every day. This guide explains what each is actually for, where each one shines and struggles, and how to decide which tool a given piece of work belongs in. The goal is to give you a mental model you can apply to any task, not a feature checklist.

Installing a Marketplace app in an enterprise Atlassian environment is not the same as installing a browser extension. The app gains access to your Jira issues, Confluence pages, and potentially your entire collaboration surface — so the evaluation process needs to be rigorous. This guide covers the ten criteria that security, procurement, and IT teams should check before approving any app for enterprise deployment.

Text-based diagramming — writing a few lines of code that render into a diagram — is how modern teams keep diagrams in sync with their documentation. No more drawing boxes by hand in Visio, exporting screenshots, and pasting them into Confluence where they go stale. With text-based diagrams, you edit the source and the diagram redraws instantly.

But there are three major text-based diagramming languages, and they are not interchangeable. Each has different strengths, different syntax, and different ideal use cases. This guide compares Mermaid, PlantUML, and Graphviz so you can choose the right one (or combination) for your Confluence team.

If you have heard the name "Atlassian Rovo" and are not sure whether it is a new product, a rebrand of Atlassian Intelligence, or something your team should adopt, you are not alone. The naming overlap confuses most teams. This guide explains what Rovo is, how it relates to the AI features you may already be using, and what it changes for the people who administer Atlassian Cloud.

Take a look at your most-visited Confluence page right now. Does it look like it belongs on the modern web — or does it look like internal documentation from 2015?

If your answer is the latter, you're not alone. Teams across thousands of Confluence sites tell us the same story: "I know exactly what I want my page to look like. I just can't make Confluence do it."

In this guide, we'll show you six concrete ways to level up your Confluence pages — from Medium-style reading layouts to interactive surveys — all without leaving your editor.

Code reviews happen in pull requests, but the decisions and context often get lost. When someone asks "why did we implement it this way?" the answer is buried in a closed PR with hundreds of comments.

Documenting code reviews in Confluence preserves this context. AI can automate the documentation, turning unstructured PR discussions into organized knowledge. This guide covers how to use AI for code review documentation.

Documentation quality degrades over time. Pages get outdated, formats drift, and gaps emerge as the team and product evolve. Manual review is time-consuming and often inconsistent.

AI can automate documentation review, identifying quality issues and improvement opportunities at scale. This guide covers how to use AI for Confluence documentation review, from audits to automated reports.

Sprint planning is part science, part guesswork. Teams estimate velocity based on gut feeling, leading to overcommitment or underutilization. AI can replace this guesswork with data-driven predictions.

This guide covers how to use AI for Jira sprint planning, from velocity prediction to scope recommendations.