Stop Context Switching, Start Shipping: How Rovo Gives Devs Back Their Focus
Developers know the drill: time often slips away in the small moments. Searching for the right information. Jumping between Slack and Confluence. Digging through logs. Each piece of busywork pulls focus away from real priorities like coding, building, and shipping great products.
For years, Atlassian has given development teams a better way to collaborate and reduce friction through a central platform. Now, with Rovo, an AI teammate powered by your organization’s knowledge, those capabilities go even further.
Powered by Atlassian’s Teamwork Graph, Rovo adds a connected layer of context with built-in AI across developer workflows. Rovo Search, Chat, and Agents help teams improve productivity, streamline workflows, and eliminate repetitive tasks.
Here are a few ways Rovo can supercharge your daily work:
Find Anything, Stay in Flow
Use Rovo Search to instantly find a Slack message or Jira ticket without leaving your IDE.
Create Without Context Switching
Ask Rovo Chat to create Jira tickets, knowledge base articles, or Confluence pages.
Automate the Tedious Stuff
Use Rovo Agents to write code documentation and analyze pipeline logs.
In this blog, we’ll break down exactly how Rovo benefits DevOps teams, including more real-world examples of how teams are using it today.
Disrupting Focus: The Real Cost of Developer Busywork
While developers are under pressure to innovate faster, they’re spending 84% of their valuable time on tasks outside of coding. That time is lost across four key friction points:
- Constant context switching. Developers jump between tasks, tools, and conversations. These interruptions can cause up to 40% in productivity loss.
- Manual, repetitive tasks. From searching for information to organizing Jira tickets, Atlassian research shows automating this type of work can save developers up to 1.5 hours/day.
- Lack of visibility. Tool sprawl and complex, disconnected workflows force development teams to manually piece together the full picture. Up to 23 hours a week of employee time is spent on excessive documentation, meetings, and overhead tasks.
Collaboration breakdowns. Without shared context or a single source of truth, it’s hard to move fast. One-fourth of executives and teams spend a quarter of the workweek just searching for information.
How Rovo Reduces Developer Time Drains
Rovo is easily customizable and built directly into developers’ favorite tools, like Confluence, Jira, Compass, and Bitbucket, making it a seamless way to adopt AI and reduce friction.
Rovo Search: Context That Spans Your Stack
Developers work best when they have uninterrupted focus. A simple process, like attempting to debug an API issue, could take hours without a central system. It also means jumping across five tools. With 23 minutes lost on every switch of context, developers could lose almost two hours in this case.
By using Rovo Search, developers can see everything in one place instead of manually switching context across tools like Jira, Slack, and Datadog. Ask Rovo, “Why is the API timing out?” and get related tickets, docs, and threads with context provided, instantly.
Rovo Chat: Ask and Get Instant Answers
Without connected data and systems, engineers spend their day acting as human search engines, asking and answering the same questions repeatedly:
- “Where’s the deployment runbook?”
- “Who changed the database schema?”
- “Why did we choose Redis here?”
Using Rovo Chat, developers can simply ask Rovo for what they need. For example, by turning on Rovo in Confluence and Bitbucket and connecting it to Slack, a developer can chat with Rovo to ask questions like, “Why do we use Redis for session storage?” Rovo will pull any related information, from the original architecture decision and performance benchmarks to the team discussion that led to the choice. No meetings, pings, or emails required.
Rovo Agents: Automate the Work That Slows You Down
A 3am incident means starting the day by reviewing error logs in Splunk, finding recent changes in GitHub, and searching for similar incidents in Jira. It can take an entire team of engineers hours to piece together what happened.
Instead, developers can set up Rovo Agents to automate this work and save time. Agents can summarize deployments, review code, surface similar past incidents, and identify code owners automatically, delivering the incident context to the right engineer, reducing bottlenecks and getting the team back to work faster.
Building Your Intelligent Development Ecosystem
While many teams thrive on Rovo’s out-of-the-box capabilities, the biggest gains can come from tailoring agents to your unique workflows. With Rovo Studio, you can build specialized agents with or without coding to automate the friction points impacting your organization most.
Some of the custom agent patterns engineering teams are building today are:
- Code Quality Agents that learn your team’s standards and flag potential issues before a merge.
- Deployment Orchestration Agents that coordinate releases across your specific infrastructure stack.
- Knowledge Capture Agents that automatically document tribal knowledge from Slack discussions and code reviews.
- Onboarding Pathway Agents that create personalized learning journeys based on your actual codebase.
- Extended integrations beyond the Atlassian ecosystem—GitHub Enterprise, internal APIs, monitoring tools, and custom databases—turn Rovo into your engineering team’s central nervous system.
The key to starting is identifying your team’s biggest pain point and building from there. Teams getting the most out of Rovo aren’t trying to automate everything at once. They’re addressing pain points and perfecting workflows before moving on to the next stage.
At Cprime, we design and implement these intelligent development ecosystems, from custom agent development to complex integrations, ensuring your AI transformation actually moves the needle on engineering velocity. The most successful Rovo implementations combine a deep understanding of engineering workflows with thoughtful agent design and integration strategy.
