Developer Experience in the Age of AI

Imagine an AI agent that takes a Jira issue, writes the code, and raises a pull request. See how it works.

#1about 2 minutes

Atlassian's framework for improving developer productivity

Atlassian addressed developer pain by creating a central productivity team, setting a company-level OKR, and giving teams 10% time to fix their own issues.

#2about 3 minutes

Measuring the impact of productivity initiatives

Quantitative metrics like a 50% decrease in PR cycle time and a 50% increase in developer satisfaction surveys demonstrate the success of the productivity framework.

#3about 5 minutes

How generative AI is shaping developer experience

Generative AI is a major technological shift that promises to improve developer experience, though it also risks increasing complexity.

#4about 2 minutes

Using AI to automate developer chores and tasks

The goal of AI should be to handle mundane developer tasks like managing tech debt and documentation, freeing up time for creative work.

#5about 4 minutes

AI-powered solutions for managing technical debt

AI agents can automatically scan repos to fix issues like stale feature flags or generate complete pull requests from a Jira ticket.

#6about 3 minutes

Improving documentation and deep work with AI

AI can enhance deep work by providing unified search across all documentation and by automatically analyzing alerts to find the root cause of incidents.

#7about 2 minutes

Shaping the future of AI in software development

Developers are in a pivotal position to guide AI's evolution, focusing on tools that augment human creativity and foster developer joy rather than replace people.