Skip to content
#DevEx

[2/2] Atlassian "State of Developer Experience 2025" (Filed under DevEx)

#DevEx #AI #ML #PlatformEngineering #Software #Architecture #Processes #Devops

[2/2] Atlassian "State of Developer Experience 2025" (Rubric #DevEx)

Continue. analysis Atlassian report conclusions and recommendations of its authors

1AI is a powerful tool, but not a silver bullet According to the authors, automation with the help of AI can significantly improve the experience of developers only if it is aimed at real problem areas of the development process. If organizations focus only on speeding up the pleasant parts of their work (for example, writing code)Without eliminating the root causes of friction, there is a false sense of effectiveness. As a result, the time gained by AI is immediately lost due to other delays, and the speed requirements grow unfairly relative to the team’s capabilities.

2System Approach to Developer Experience The best companies have begun to rethink the approach to the developer experience in a comprehensive way – building processes around transparency, team autonomy and high speed product release. Improving DevEx requires constant work: the authors urge organizations to target bottlenecks and eliminate frictions at all stages of the development lifecycle, from planning to deploitation. Fortunately, Atlassian users now have access to purchased platform DXIt allows you to work systematically on DevEx.

3Dialogue between leaders and developers The first step to improvement is to ask the developers themselves what is hindering their productivity. Team leaders are encouraged to communicate closely with engineers and test solutions together. In some cases, AI tools will provide a partial solution, in others even simple measures like self-service reference materials or templates that simplify routine.

4Joint responsibility for changes The authors of the report note that both managers and engineers need to be actively involved in improving processes. Developers should communicate their problems to management in terms of impacting the result – showing how specific obstacles delay releases or reduce quality. Such a representation turns a “complaint” into a tangible problem that needs to be solved. In response, it is important for leaders not to reject signals, but to work with teams to find ways to improve. Regular two-way communication helps to identify problems in advance, builds trust and keeps everyone focused on priority goals.

To take full advantage of AI’s development potential, companies need to improve the Developer Experience systemically. This involves eliminating internal inefficiencies, aligning expectations between engineers and managers, and introducing a culture where new tools are available. (AI) They are used deliberately to ease the most painful areas of work, not to the detriment of them. This is the only way to turn the hours saved into a steady increase in productivity and job satisfaction.

#AI #ML #PlatformEngineering #Software #Architecture #Processes #DevEx #Devops