Planet Ingres

 Minimus is a specialized platform designed to provide hardened container images and supply chain security for cloud-native environments. Its images are now free.

Minimus' hardening consists of stripping away unnecessary packages and rebuilding from source daily, hence significantly reducing the vulnerability surface compared to standard public images, up to 98% on average. It achieves such magnitudes in reduction through several key structural and operational strategies:

https://www.i-programmer.info/news/90-tools/19040-minimus-releases-hardened-images-for-free-what-does-it-do-differently.html

 Genkit is Google's open-source framework designed for building full-stack, AI-powered and agentic applications.

Genkit is a set of modular building blocks that help you transition from making simple model requests to creating highly autonomous, reliable and production-ready AI systems.
To understand what it offers you must compare it to how one builds AI applications at the moment.

https://www.i-programmer.info/news/105-artificial-intelligence/19032-build-flexible-ai-agents-with-the-genkit-framework.html

 We take a look at a series of interviews in which Java Champions share their expert advice on career growth, technical mastery and the future of software engineering.

https://www.i-programmer.info/news/80-java/19020-asking-a-java-champion-contains-gems-ready-to-be-discovered.html

 DeepSWE is a high-fidelity benchmarking platform designed to evaluate the performance of frontier AI coding agents on complex long-horizon software engineering tasks.

Unlike traditional benchmarks that reuse existing GitHub data, this system utilizes original, contamination-free tasks across five major programming languages to prevent models from relying on memorized solutions, creating a much clearer separation between frontier coding models than older public benchmarks like SWE-bench.

https://www.i-programmer.info/news/105-artificial-intelligence/19016-deepswe-best-benchmark-for-evaluating-ai-coding-agents.html

 Fyrox, the game engine written in Rust, reaches its first stable version,1.0.0, after 7 years in the making and numerous development releases.

Fyrox is a feature-rich, general-purpose 2D and 3D game engine written entirely in Rust. Formerly known as rg3d, the engine represents a long-term development effort that culminated in its stable 1.0.0 release in March 2026.

https://www.i-programmer.info/news/144-graphics-and-games/19015-fyrox-game-engine-reaches-version-100.html

 Mozilla.ai has introduced cq, an open-source standard and platform designed to facilitate shared learning among AI agents. This promises to eliminate a lot of duplicated effort on the part of AI agents, thereby making savings in terms of cost and resources

https://www.i-programmer.info/news/105-artificial-intelligence/19009-cq-a-shared-knowledge-commons-for-ai-agents.html

 RAMPART and Clarity are frameworks designed by Microsoft to evaluate the safety and security of agentic AI applications.

RAMPART (Risk Assessment & Measurement Platform for Agentic Red Teaming), is built on top of Microsoft's PyRIT (Python Risk Identification Tool) primitives. Rather than treating AI safety as a one-time post-build review, it allows developers to write safety and security tests as repeatable code th

https://www.i-programmer.info/news/105-artificial-intelligence/19001-rampart-and-clarity-secure-your-ai-agents.html

 pg_durable is a Microsoft developed PostgreSQL extension that integrates fault-tolerant, long-running execution directly into the database.

To understand why this is useful, think about what normally happens if you run a long, complex database job and the server crashes or your connection drops; you lose your progress, and you have to start all over again.

https://www.i-programmer.info/news/80-java/18984-pgdurable-durable-sql-functions-and-orchestration-for-postgresql.html

 AI-fokus, a spin off of Jfokus, is a conference focusing on the evolution of agentic AI and its practical implementation in software development.

https://www.i-programmer.info/news/105-artificial-intelligence/18981-what-happened-at-ai-fokus-2026.html

 We look at a Github repository that provides a comprehensive, step-by-step guide for constructing a modern Large Language Model from the ground by up using Python and PyTorch.

https://www.i-programmer.info/news/105-artificial-intelligence/18970-how-to-train-your-gpt-a-comprehensive-llm-guide.html