I want to share my experience in the cloud, AI, and agents development areas.
The blog post provides a short guide on accessing source code remotely with SSH using VS Code. It covers which of the Visual Studio Code extensions you should install, SSH configuration, connecting to the host, and using VS Code for remote development. The post also includes helpful tips and an example SSH configuration for a Raspberry Pi.
This blog post is a short cheat sheet about how to save Elasticsearch query results with paging in a bash script automation. The automation does download all the query results in JSON files as long the paging returns results in the hits of the return JSON. The files are numbered 01.json to XX.json.
This blog post is about a simple example to use the Watson Assistant API v2 with the Node.js SDK to get a Watson Assistant sessionID and send a message to Watson Assistant using this sessionID. Here is the GitHub project watson-assistant-simple-node-js-server-example.
IBM Watson Assistant is a SaaS offering from IBM to build conversational assistants. IBM Watson Assistant is using artificial intelligence which helps to understand users in context, to provide them easy and fast, consistent, and accurate answers across various applications, devices, or channels. IBM Watson Assistant is built on natural language understanding (NLU), natural language processing (NLP) and machine learning (ML). The first version was already very good, and IBM clients and partners were starting to take these advantages; for example Watson Assistant was used at the International Space Station. Here you can find some more details: CIMON brings AI to the International Space Station. Based on the feedback from clients, the IBM development and design team has created a brand new experience and added new functionalities to the service for example they expanded the integration possibilities with extensions. In this blog post I focus especially on custom extensions development and setup.
This is a short blog post about: how to create a tag for your last commit in GitHub?. It's good to have tags as they help you easily compare changes to your source code on GitHub.
Thomas Suedbroecker's Blog 