InfoQ Homepage Python Content on InfoQ
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Docker Launches Hardened Base Images
Docker has launched its Docker Hardened Images (DHI), a security-focused range of base images that reduce vulnerabilities by up to 95%. Built using a distroless approach, these minimal images eliminate unnecessary components, offering automatic patching and compatibility with existing Dockerfiles. Ideal for regulated environments, DHI enhances software supply chain security and transparency.
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Anthropic Releases Claude Code SDK to Power AI-Paired Programming
Anthropic has launched Claude Code SDK, a new toolkit that extends the reach of its code assistant, Claude, far beyond the chat interface. Designed for integration into modern developer workflows, the SDK offers a suite of tools for TypeScript, Python, and the command line, enabling advanced automation of code review, refactoring, and transformation tasks.
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Google Releases LMEval, an Open-Source Cross-Provider LLM Evaluation Tool
LMEval aims to help AI researchers and developers compare the performance of different large language models. Designed to be accurate, multimodal, and easy to use, LMEval has already been used to evaluate major models in terms of safety and security.
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Meta Open-Sources Pyrefly, a High-Performance Python Type Checker in Rust
Currently in alpha, Pyrefly is a new open-source Python type checker developed by Meta in Rust for maximum performance. Inspired by tools like Pyre, Pyright, and MyPy, Pyrefly is intended to replace the OCaml-based Pyre type checker previously used for Instagram's codebase.
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QCon London 2025: How to Build a Database without a Server
Alex Seaton, staff engineer at Man Group, presented “How to Build a Database Without a Server” at QCon London 2025. Seaton demonstrated how they migrated an older hedge fund trading system application using a cluster farm that was difficult to maintain to an application using a serverless database and Conflict-Free Replicated Data Types (CRDTs).
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Radical AI Releases TorchSim: a PyTorch-Native Engine for Next-Generation Atomistic Simulations
Radical AI has announced the release of TorchSim, a next-generation atomistic simulation engine built natively in PyTorch and designed for the MLIP (machine-learned interatomic potentials) era.
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Amazon Unveils Nova Act SDK and Expands Access to Advanced AI Models
Amazon has announced an expansion of its generative AI capabilities with the introduction of nova.amazon.com, a platform designed to give developers easier access to its foundation models. This includes the newly unveiled Amazon Nova Act, an AI model specifically trained to execute actions within web browsers.
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Dapr Agents: Scalable AI Workflows with LLMs, Kubernetes & Multi-Agent Coordination
Introducing Dapr Agents—a groundbreaking framework for creating scalable AI agents using Large Language Models (LLMs). With robust workflows, multi-agent coordination, and cloud-neutral architecture, it enables enterprises to deploy thousands of resilient agents. Built on Dapr’s proven infrastructure, Dapr Agents ensures reliability and observability in AI-driven applications.
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JetBrains AI Coding Agent Junie Provides Tight Integration with JetBrains IDEs
JetBrains has announced Junie, its new AI coding agent, in closed preview. Junie, says the company, is able to carry through the coding tasks you assign it and leverage the knowledge about your project context as available in the IDE.
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Microsoft Research AI Frontiers Lab Launches AutoGen v0.4 Library
Microsoft Research’s AI Frontiers Lab has announced the release of AutoGen version 0.4, an open-source framework designed to build advanced AI agent systems. This latest version as stated marks the complete redesign of the AutoGen library, focusing on enhancing code quality, robustness, usability, and the scalability of agent workflows.
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Google Vertex AI Provides RAG Engine for Large Language Model Grounding
Vertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to external data sources to be more up-to-date, generate more relevant responses, and hallucinate less.
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Hugging Face Smolagents is a Simple Library to Build LLM-Powered Agents
Smolagents is a library created at Hugging Face to build agents based on large language models (LLMs). Hugging Faces says its new library aims to be simple and LLM-agnostic. It supports secure "agents that write their actions in code" and is integrated with Hugging Face Hub.
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PydanticAI: a New Python Framework for Streamlined Generative AI Development
The team behind Pydantic, widely used for data validation in Python, has announced the release of PydanticAI, a Python-based agent framework designed to ease the development of production-ready Generative AI applications. Positioned as a potential competitor to LangChain, PydanticAI introduces a type-safe, model-agnostic approach inspired by the design principles of FastAPI.
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Google AI Agent Jules Aims at Helping Developers with Their GitHub-Based Workflows
Part of Gemini 2.0, Google has launched its new AI-based coding assistant in closed preview. Dubbed "Jules", the assistant aims at helping developers to work with Python and JavaScript issues and pull requests, handle bug fixes, and other related tasks.
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AISuite is a New Open Source Python Library Providing a Unified Cross-LLM API
Recently announced by Andrew Ng, aisuite aims to provide an OpenAI-like API around the most popular large language models (LLMs) currently available to make it easy for developers to try them out and compare results or switch from one LLM to another without having to change their code.