AI's impact on jobs raises questions about its purpose, which ranges from reducing toil and breaking barriers to pure capitalism.
Gemini CLI provides lightweight, bare-metal access to models, grounding them with local files and search while enabling automation and personalization.
A live demonstration shows how to prompt Gemini CLI to plan a fix for a real GitHub issue, utilizing an MCP server and a ReAct loop.
The AI agent's workflow is customized by combining three types of markdown files for personal process, team best practices, and project structure.
The AI agent follows a test-driven development plan by writing a failing test, implementing the fix, and troubleshooting errors until the tests pass.
By prompting the agent to reflect on its troubleshooting session, it generates improvements that are then saved back into its guiding markdown files.
Gemini CLI was built with TypeScript to maximize community contribution, leverage team familiarity, utilize the rich ecosystem, and ensure portability across environments.
Real-world applications of Gemini CLI range from SRE root cause analysis at Delivery Hero to personal knowledge management and solving philosophical logic puzzles.
Beyond efficiency, the true value of AI tools is giving developers the courage to tackle unfamiliar problems and rediscover the joy of creation.
39:11Thomas Dohmke
24:22Philipp Schmid
59:16Ryan J Salva
31:39Rainer Stropek
28:40Dr. Alexander Wachtel & Julia Kordick
15:26Gregor Schumacher, Sujay Joshy & Marcel Gocke
28:53Mike
25:14Ivan Burazin
Jobs that call for the skills explored in this talk.
autoiXpert GmbH & Co. KG
Stuttgart, Germany
Gemma Analytics
dreifach
Amdocs
Kontich, Belgium