Thomas Dohmke
Agents for the Sake of Happiness
#1about 6 minutes
From autocompletion to assigning tasks to AI agents
Tracing the journey from GitHub Copilot's early days as a simple autocompletion tool to the current ability to assign complex tasks like test migrations to an AI agent.
#2about 4 minutes
Democratizing software development with natural language
The integration of chat and voice allows anyone to code using their native language, breaking down barriers and expanding the developer community.
#3about 6 minutes
Understanding the spectrum of AI developer tools
Developers can now choose from a spectrum of AI tools, from simple autocompletion to powerful synchronous and asynchronous agents that handle entire tasks.
#4about 9 minutes
Live demo of building features with an AI agent
An interactive session demonstrates using an agent in the IDE to add a new snake game to an existing project, including debugging errors through conversation.
#5about 6 minutes
Reviewing a pull request from an asynchronous agent
A review of a pull request generated by a coding agent shows how it autonomously handled a test migration task and provided a detailed report of its work.
#6about 3 minutes
Envisioning hybrid teams and 90% AI-written code
The future of software development involves hybrid organizations where developers orchestrate multiple interacting agents, with AI expected to write 90% of the code.
#7about 4 minutes
Why AI is a superpower that enhances developers
AI will not replace developers but will act as a superpower, automating tedious work and freeing up developers to focus on creativity, problem-solving, and product vision.
#8about 1 minute
Using AI agents to achieve developer happiness
The ultimate goal of AI agents is to foster developer happiness by making software creation more accessible and joyful, enabling a future with a billion developers.
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