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.
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