AI Coding News - Code Generation, Copilot & Developer Tools

Supercharge regulated workloads with Claude Code and Amazon Bedrock

The release of Anthropic Claude Sonnet 4.5 in the AWS GovCloud (US) Region introduces a straightforward on-ramp for AI-assisted development for workloads with regulatory compliance requirements. In this post, we explore how to combine Claude Sonnet 4.5 on Amazon Bedrock in AWS GovCloud (US) with Claude Code, an agentic coding assistant released by Anthropic. This […]

Qwen: Qwen3.5 397B A17B (qwen/qwen3.5-397b-a17b)

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.

[AINews] Why OpenAI Should Build Slack

a quiet day lets us answer a Sam Altman question

Airbnb plans to bake in AI features for search, discovery and support

Airbnb CEO Brian Chesky said the company wants to increase its use of large language models for customer discovery, support and engineering.

Customize AI agent browsing with proxies, profiles, and extensions in Amazon Bedrock AgentCore Browser

Today, we are announcing three new capabilities that address these requirements: proxy configuration, browser profiles, and browser extensions. Together, these features give you fine-grained control over how your AI agents interact with the web. This post will walk through each capability with configuration examples and practical use cases to help you get started.

Something is happening

[AINews] new Gemini 3 Deep Think, Anthropic $30B @ $380B, GPT-5.3-Codex Spark, MiniMax M2.5

There's too much going on!

Owning the AI Pareto Frontier — Jeff Dean

From rewriting Google’s search stack in the early 2000s to reviving sparse trillion-parameter models and co-designing TPUs with frontier ML research, Jeff Dean has quietly shaped nearly every layer of the modern AI stack.

Spotify says its best developers haven’t written a line of code since December, thanks to AI

Spotify credits Claude Code and its internal AI system Honk with speeding up development.

A new version of OpenAI’s Codex is powered by a new dedicated chip

OpenAI calls the new coding tool the "first milestone" in its relationship with the chipmaker.

MiniMax: MiniMax M2.5 (minimax/minimax-m2.5)

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.

AI is already making online swindles easier. It could get much worse.

Anton Cherepanov is always on the lookout for something interesting. And in late August last year, he spotted just that. It was a file uploaded to VirusTotal, a site cybersecurity researchers like him use to analyze submissions for potential viruses and other types of malicious software, often known as malware. On the surface it seemed…

What’s next for Chinese open-source AI

The past year has marked a turning point for Chinese AI. Since DeepSeek released its R1 reasoning model in January 2025, Chinese companies have repeatedly delivered AI models that match the performance of leading Western models at a fraction of the cost. Just last week the Chinese firm Moonshot AI released its latest open-weight model,…

Introducing GPT-5.3-Codex-Spark

Introducing GPT-5.3-Codex-Spark—our first real-time coding model. 15x faster generation, 128k context, now in research preview for ChatGPT Pro users.

[AINews] Z.ai GLM-5: New SOTA Open Weights LLM

We have Opus 4.5 at home

Agentic cloud operations: A new way to run the cloud

While today’s cloud delivers extraordinary flexibility, the rapid growth of modern applications and AI workloads has introduced levels of scale and complexity that traditional operations were not designed for. The post Agentic cloud operations: A new way to run the cloud appeared first on Microsoft Azure Blog .

Is a secure AI assistant possible?

AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once they have tools that they can use to interact with the outside world, such as web browsers and email addresses, the consequences of those mistakes become far more serious. That might explain why the…

NVIDIA Nemotron 3 Nano 30B MoE model is now available in Amazon SageMaker JumpStart

Today we’re excited to announce that the NVIDIA Nemotron 3 Nano 30B model with nbsp;3B active parameters is now generally available in the Amazon SageMaker JumpStart model catalog. You can accelerate innovation and deliver tangible business value with Nemotron 3 Nano on Amazon Web Services (AWS) without having to manage model deployment complexities. You can power your generative AI applications with Nemotron capabilities using the managed deployment capabilities offered by SageMaker JumpStart.

The Death of Traditional Testing: Agentic Development Broke a 50-Year-Old Field, JiTTesting Can Revive It

WHAT IT IS The rise of agentic software development means code is being written, reviewed, and shipped faster than ever before across the entire industry. It also means that testing frameworks need to evolve for this rapidly changing landscape. Faster development demands faster testing that can catch bugs as they land in a codebase, without [...] Read More... The post The Death of Traditional Testing: Agentic Development Broke a 50-Year-Old Field, JiTTesting Can Revive It appeared first on Engineering at Meta .

Z.ai: GLM 5 (z-ai/glm-5)

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.