AWS releases free AWS Emulator, a local testing tool written entirely by AI agents
Amazon Web Services released AWS Emulator, a free open-source tool that simulates AWS services on a laptop, server or CI pipeline. AWS says autonomous AI agents wrote the whole tool with no code written or reviewed by its engineers.
Developers get a free way to test AWS apps locally, and it is a high-profile test of whether fully AI-written software can be trusted.
aii.news picks and summarizes stories from trusted news sources with the help of AI. Every story links to the original reporting. How we work.
Keep reading
-
Google releases Gemini 4 Carbon, its strongest model yet, with an agent 'swarm' feature
Google is rolling out Gemini 4 Carbon to the general public after first giving it to a select group of cybersecurity defenders. Google says it pushes beyond its Argon model, though Argon remains the suggested choice for most coding and knowledge work.
Why it mattersDevelopers and users now have a new top-tier Google model to compare against the best systems from Anthropic and OpenAI.
-
Anthropic releases Claude Fable 5.2 and Mythos 5.2 and cuts API prices by 20%
Anthropic introduced Claude Fable 5.2 and Mythos 5.2, which share one underlying model with different safeguards and bring gains in coding, reasoning and vision. Fable is broadly available, while Mythos is limited to vetted cybersecurity and life sciences groups, and both now cost $8 per million input tokens and $40 per million output tokens.
Why it mattersDevelopers get a stronger coding model at a lower price, and the split release shows how labs are gating the most capable models for sensitive uses.
-
Google DeepMind unveils AlphaGenome 2 to show how DNA changes affect different cells
Google DeepMind released AlphaGenome 2, the successor to its genome-predicting model. It aims to explain how DNA changes affect different cell types, which could help find causes of disease.
Why it mattersBetter tools for reading DNA effects could speed up research into new treatments.
-
Hackers exploit SGLang flaw to breach NEAR AI inference server and steal agent and user data
An attacker used a remote code execution flaw in the open-source SGLang inference engine to run code on one of NEAR AI's inference servers, taking data from 18 agents and about 100 users. Requests sent in a confidential mode were also potentially visible on that server.
Why it mattersTeams running open-source inference engines should patch quickly, because a single flaw can expose user prompts even in so-called confidential setups.
-
Microsoft AI agents and researchers find 59 Linux kernel bugs, some hidden for over 20 years
A Microsoft FORGE Lab project combining AI agents with human researchers found 59 Linux kernel vulnerabilities, some in production code for more than 20 years. AI sped up discovery, but checking flaws and writing patches still needed a lot of human work.
Why it mattersAI is finding old bugs in core software fast, so teams running Linux should expect more patches and plan for the human effort needed to fix them.
