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.
Related jobs
Jobs that call for the skills explored in this talk.
Matching moments
12:44 MIN
The shift towards agentic AI in software engineering
10 commandments for vibe coding
12:10 MIN
Why AI is a copilot, not an autopilot for developers
Coffee With Developers - Kyle Daigle, COO of GitHub
38:07 MIN
Exploring the future of AI beyond simple code generation
Innovating Developer Tools with AI: Insights from GitHub Next
28:49 MIN
How AI will reshape software development and documentation
Coffee with Developers - Scott Chacon on growing GitButler and the future of version control
25:25 MIN
The future of AI agents and predictive analytics
GenAI after the Hype: Transforming Organizations with GenAI-based Agents
18:05 MIN
Using AI to accelerate the modernization process
Crew Management System for Airlines: Plan duties for pilots & flight attendants worldwide
28:16 MIN
The conceptual shift in modern AI development
On a Secret Mission: Developing AI Agents
02:10 MIN
Understanding the shift to the agentic era
Event-Driven Architecture: Breaking Conversational Barriers with Distributed AI Agents
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From learning to earning
Jobs that call for the skills explored in this talk.
Senior Machine Learning Engineer (f/m/d)
MARKT-PILOT GmbH
Stuttgart, Germany
Remote
€75-90K
Senior
Python
Docker
Machine Learning
Artificial Intelligence (AI), Agents & Copilot Architect
Techem Messtechnik GmbH
Remote
€52K
API
Azure
Redis
+5
Software Entwickler â KI-Automatisierung, Agenten, MCP, Typescript
Fichtner GmbH & Co. KG
API
REST
GraphQL
JavaScript
TypeScript
+1