Planet Ingres

 We explore a combination that opens new ways of interacting with the Neo4j Graph database.

The Neo4j Gemini CLI extension integrates Gemini's capabilities directly into your terminal by bundling four Neo4j Model Context Protocol servers. This integration bridges the AI's reasoning engine with Neo4j, allowing you to deploy infrastructure, write queries, and build GraphRAG applications using natural language without leaving your terminal.

https://www.i-programmer.info/news/90-tools/18886-integrating-neo4j-and-gemini-cli-.html

 PgCache is a wire-compatible, transparent Postgres proxy that caches read data, then keeps it fresh using PostgreSQL Logical Replication.

PgCache is designed to accelerate PostgreSQL performance by providing a transparent caching layer between applications and the database. By utilizing Change Data Capture (CDC) through logical replication, the system ensures data remains current without requiring manual cache invalidation or application code modifications. This approach entirely eliminates the need to sprinkle cache invalidation logic throughout your application code or guess at appropriate Time-to-Live (TTL) settings.

https://www.i-programmer.info/news/84-database/18884-pgcache-transparent-postgresql-query-caching-and-cdc-maintenance.html#google_vignette

 The full materials of the MIT 6.S191 lecture which took place just this March are now available for free and for all. This lecture is a comprehensive overview of deep learning architectures, specifically focusing on Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers.

https://www.i-programmer.info/news/150-training-a-education/18878-massachusetts-institute-of-technology-introduction-to-deep-learning.html

 Jupyter gets its own MCP server. The Jupyter MCP Server by Datalayer is a Model Context Protocol server implementation designed to act as a bridge between Large Language Models, AI assistants and a user's live Jupyter environment. What does it enable?

https://www.i-programmer.info/news/90-tools/18875-jupyter-notebooks-mcp-server-.html

 Microsoft's extends the capabilities of the AI coding agents through Agent Skills for .NET framework-oriented tasks.

But first of all, what are Agent Skills? Agent Skills are a lightweight, open, and standardized format used to extend AI agents' capabilities with specialized knowledge and workflows

https://www.i-programmer.info/news/89-net/18867-the-net-agent-skills.html

 ggsql is a novel data visualization tool that integrates the Grammar of Graphics directly into SQL environments.

Built by the creators of ggplot2, this system allows users to construct complex charts by adding declarative clauses like VISUALISE, DRAW, and SCALE to standard database queries. Unlike traditional tools that offer fixed chart types, ggsql employs a modular approach where independent components—such as layers, coordinates, and aesthetics can be combined to create custom visuals.

https://www.i-programmer.info/news/84-database/18862-ggsql-sql-for-visualization-.html

 A training repository from Microsoft on GitHub provides a structured curriculum for developers ranging from beginner to expert to learn Rust.

https://www.i-programmer.info/news/150-training-a-education/18853-microsofts-rust-training-books-curriculum-.html

 Warp has transitioned its Rust-based terminal client to an open-source model under the AGPL license, aiming to accelerate innovation through community collaboration.

https://www.i-programmer.info/news/90-tools/18852-warp-the-open-source-agentic-development-environment-goes-open-source.html

 Companies like PlanetScale and Oracle are providing curated libraries of Skills that allow AI coding assistants, such as Claude Code or Cursor, to interact directly with databases.

Skills, Skills, Skills...the latest buzzword in this era of AI induced coding practices. This time they come for the Database to enable agents to perform complex tasks like automated schema optimization, security audits and CSV data ingestion with higher precision and lower token consumption.

https://www.i-programmer.info/news/90-tools/18846-agentic-skills-for-the-database-.html

 This article explains concurrency in Python including topics like multithreading, multiprocessing, race conditions, and synchronization mechanisms such as locks. We’ll then take a deep dive into switching off GIL to enable real multithreading in Python, highlighting the differences, the benefits and the gotchas with clear code examples.

https://blog.geekuni.com/2026/04/python-concurrency.html