@storage_qi · Post #1237 · 12/23/2025, 08:54 AM
#UserInterview#UXResearch#ProductDevelopment#UserFeedback#DesignThinking https://heiskr.com/stories/interviewing-prospective-users
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Source channel @githubtrending · Post #15326 · Dec 11
#python#agents#gcp#gemini#genai_agents#generative_ai#llmops#mlops#observability You can quickly create and deploy AI agents using the Agent Starter Pack, a Python package with ready-made templates and full infrastructure on Google Cloud. It handles everything except your agent’s logic, including deployment, monitoring, security, and CI/CD pipelines. You can start a project in just one minute, customize agents for tasks like document search or real-time chat, and extend them as needed. This saves you time and effort by providing production-ready tools and integration with Google Cloud services, letting you focus on building smart AI agents without worrying about backend setup or deployment details. https://github.com/GoogleCloudPlatform/agent-starter-pack
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@storage_qi · Post #1237 · 12/23/2025, 08:54 AM
#UserInterview#UXResearch#ProductDevelopment#UserFeedback#DesignThinking https://heiskr.com/stories/interviewing-prospective-users