PERL,INGRES,PROGRAMMING

  This year, the annual event ran between 31 January & 1 February 2026, attracting a lot of interest. We provide an overview of the content presented and assorted highlights. https://www.i-programmer.info/news/99-professional/18729-what-happened-at-fosdem-2026.html

  Anthropic has recently updated its Claude Code command-line tool in an attempt to simplify its terminal output, sparking significant backlash from the software development community. However, Claude-Devtools provides a solution. https://www.i-programmer.info/news/105-artificial-intelligence/18709-claude-code-now-hides-the-way-it-works-but-theres-a-workaround.html

  SQL, yes that old horse, is still going. SQL has been the data access standard for decades. It levels the playing field, easily integrates with other systems and accelerates delivery. Here's a  beginner-friendly course on SQL for data engineering. https://www.i-programmer.info/news/150-training-a-education/18703-learn-sql-for-data-engineering-the-course.html

  Python. Even if you close your eyes and try to ignore it, you really can’t; it’s everywhere, especially in the AI and Data Science fields. Therefore, it has become a necessity to get to know it, even if you’re a Java developer enjoying its rich and large language ecosystem. Despite the fact that lately Java has been powered up with great AI libraries like LangChain4j, which make it easy to build AI-powered applications, in order to tap into the full, unconstrained pool of AI capabilities, you still need to go to Python. https://blog.geekuni.com/2026/02/python-for-java-developers.html

  PlanetScale has launched a hosted Model Context Protocol (MCP) server that connects its database platform directly to AI development tools like Claude and Cursor. So what can you do with it? https://www.i-programmer.info/news/84-database/18693-the-planetscale-mcp-server-announced.html

  We take a look at an IBM Technology resource that explores the fundamental principles and business applications of artificial intelligence, with a focus on large language models (LLMs) and machine learning (ML). https://www.i-programmer.info/news/105-artificial-intelligence/18687-ibms-ai-models-explained.html