GitHub Next and the Future of Coding - Idan Gazit

When AI makes writing code nearly free, what is left for the developer to do? GitHub's head of Next explores your new role as a director, not a typist.

#1about 4 minutes

How AI agents are changing the economics of code

Since AI makes writing code nearly free, the focus of software development shifts from late-stage pull requests to early-stage collaboration.

#2about 3 minutes

Moving beyond pull requests to real-time collaboration

The asynchronous pull request model is becoming obsolete, similar to emailing Word documents, in favor of real-time, multiplayer surfaces like Figma or Google Docs.

#3about 3 minutes

How AI agents strain code hosting infrastructure

AI-generated, oversized pull requests are causing a massive increase in CI/CD runs, leading to significant scaling and availability challenges for platforms like GitHub.

#4about 4 minutes

Redefining the career path for junior developers

While AI can perform many junior-level tasks, it also serves as an infinitely patient tutor that can accelerate the growth of new engineers.

#5about 2 minutes

Developing an intuitive feel for using AI tools

Effective use of AI in development requires hands-on practice to build an intuitive "fingertip feel" for prompting and applying the technology correctly.

#6about 3 minutes

The evolution of developer UI from files to conversations

Developer tools are shifting from file-level interactions like code brushes to repo-level conversations where agents manage changes across the entire codebase.

#7about 6 minutes

The difficulty of measuring AI's impact on productivity

It is challenging to quantify the ROI of AI tools because the cerebral nature of software engineering cannot be measured by simple metrics like lines of code or tokens used.

#8about 8 minutes

The accessibility and cost of modern AI development

The high cost of subscriptions and powerful hardware for flagship AI models creates an equity problem, as local open-source models are not yet a viable alternative.

#9about 3 minutes

Building the right mindset for coding with AI

To adapt to the rapid pace of AI, developers must actively use these tools in their daily work to overcome old habits and build a new problem-solving intuition.