Teams | Collaboration | Customer Service | Project Management

WhatsApp vs iMessage - Which Messaging App Is Right for You

Both messaging apps are available for free use and provide voice calls, video calls, and instant messaging services. Both have billions of active daily users worldwide. Nevertheless, these two apps target completely different demographics. Choosing the wrong application to suit your needs may cause unnecessary complications rather than benefits.

10 AI prompts to ask Teamwork.com every monday morning

For COOs, CFOs, and Heads of Delivery, the start of the week is often a race to find the truth hidden in a dozen different reports. By connecting Teamwork.com to your LLM (Claude, ChatGPT) via our new Model Context Protocol (MCP) server, you can query your business health in plain English. This isn't just about speed: it's about gaining a level of operational visibility that was previously impossible without a dedicated finance team.

Choosing the Right Team Chat App for Your Growing Business

Question. Have you ever sent a message to your team and then immediately thought, “Wait… did I send that in the right place?” You’re not alone. Communication at work is kind of a mess. Not because people are bad at it, but because there’s a lot of it. In fact, Grammarly found that every single worker surveyed, that’s 100% of employees, deals with miscommunication at least once a week. One in four deals with it multiple times a day.

The bottleneck keeps shifting: What AI is changing about how we build

Over the past few decades in the technology industry, some of the biggest constraints to building products have been about having enough engineers, time, or compute. For the first time, that era is ending. Tech teams are experiencing a revolution unlike anything they’ve seen before. The barriers to entry for building have all but disappeared. The constraint no longer comes from producing enough output, but from deciding what to build, and the restraint required to build something good.

Atlassian Teamwork Graph: The context engine behind your AI-everywhere

AI agents are only as good as what they know. Right now, most don’t know enough. Not because the AI is broken, but because the data is. Information is scattered across tools, siloed by department, stripped of the human context that makes it useful. Agents guess. They hallucinate. Teams splinter around different versions of the truth. Context isn’t a file or a ticket. It’s the space in between: why a decision was made, who owns it now, what broke last time.

Building for AInative engineering: What's new in DX

AI is changing how engineering teams work faster than most organizations can adapt. Coding assistants are now part of the daily workflow, agents are starting to own tasks end-to-end, and the way we deliver software is being redefined in real time. With that shift, engineering leaders are facing a new set of questions. Are these tools actually improving outcomes? Where are they falling short? Which teams are seeing value, and which aren’t?