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AI updates from the previous week: OpenAI Codex, AWS Rework for .NET, and extra — Could 16, 2025


Software program firms are consistently making an attempt so as to add an increasing number of AI options to their platforms, and AI firms are consistently releasing new fashions and options. It may be laborious to maintain up with all of it, so we’ve written this roundup to share a number of notable updates round AI that software program builders ought to find out about. 

OpenAI pronounces software program engineering agent Codex

Codex is a cloud-based agent able to engaged on a number of duties concurrently, similar to writing options, answering questions in regards to the codebase, fixing bugs, and proposing pull requests. Every of those duties runs individually in its personal cloud sandbox surroundings.

“As soon as Codex completes a process, it commits its adjustments in its surroundings. Codex offers verifiable proof of its actions by way of citations of terminal logs and take a look at outputs, permitting you to hint every step taken throughout process completion. You’ll be able to then evaluation the outcomes, request additional revisions, open a GitHub pull request, or immediately combine the adjustments into your native surroundings,” OpenAI wrote in a submit

It’s presently out there as a analysis preview for ChatGPT Professional, Crew, and Enterprise customers, and assist for Plus customers can be out there quickly. 

Amazon pronounces GA of AWS Rework for .NET

The new device is an AI agent that helps with modernizing .NET functions, porting them from .NET Framework to cross-platform .NET, which, when executed manually is “a labor-intensive and error-prone course of. You need to carry out a number of steps, similar to analyzing the codebase, detecting incompatibilities, implementing fixes whereas porting the code, after which validating the adjustments. For enterprises, the problem turns into much more advanced as a result of they may have a whole lot of .NET Framework functions of their portfolio,” AWS wrote.  

AWS Rework for .NET might help firms overcome these challenges. Since releasing the device in non-public preview final yr, Amazon has added a number of new capabilities, similar to assist for initiatives which have non-public NuGet package deal dependencies, assist for executing unit assessments as soon as porting is full, and the flexibility to port model-view-controller (MVC) Razor views to ASP .NET Core Razor views.  

Anthropic launches new bug bounty program

The aim of the program is to allow the group to emphasize take a look at Anthropic’s newest security measures. Researchers can be requested to seek out common jailbreaks in security classifiers earlier than they’re deployed publicly. 

Particularly, they’ll take a look at an up to date model of the Constitutional Classifiers system, which is a method developed to “guard towards jailbreaks that would elicit info associated to CBRN (chemical, organic, radiological, and nuclear) weapons.” It features a record of rules defining what content material ought to and shouldn’t be allowed when interacting with Claude. 

Anthropic is teaming up with HackerOne to run this system, and it’ll supply as much as $25,000 in rewards for jailbreaks discovered. 

GitLab 18 integrates AI capabilities from Duo

GitLab has introduced the newest model of its platform, incorporating extra AI capabilities from Duo, the corporate’s suite of AI options, into the flagship DevSecOps platform.

GitLab 18 contains Duo’s AI-powered Code Recommendations for code completion and code technology, and AI-powered Chat for code explanations, code refactoring, take a look at technology, and code fixes. These capabilities can be found for Premium and Final customers.

“At present’s fragmented panorama of AI level options creates pointless complexity for growth groups,” mentioned David DeSanto, chief product officer at GitLab. “By natively integrating the important capabilities of GitLab Duo Code Recommendations and Chat immediately inside the GitLab DevSecOps platform, we’re eliminating the necessity for separate instruments, licenses, and governance constructions. This unified strategy permits groups to speed up their workflows and enhance productiveness whereas sustaining safety and compliance requirements.”

Boomi launches AI agent administration answer at Boomi World 2025

At its annual convention Boomi World 2025, Boomi introduced the final availability of Boomi Agentstudio (initially known as Boomi AI Studio), an AI agent administration answer.

With Boomi Agentstudio, builders are given a no-code platform for designing, governing, and orchestrating AI brokers. 

It helps the Mannequin Context Protocol (MCP), an open commonplace for connecting AI brokers to knowledge sources and instruments.

Boomi additionally introduced an integration with Amazon Q Enterprise, permitting brokers created in Agentstudio to be grounded in an organization’s complete information base. “Think about an agent that doesn’t simply react to delivery delays based mostly on normal information gleaned from the web however as an alternative makes clever choices based mostly on buyer contracts, enterprise guidelines, earlier difficulty resolutions, accomplice networks, and different knowledge — all of which is offered by way of an organization’s information base,” Boomi wrote in a weblog submit.

CodeRabbit brings AI-powered code evaluation into Visible Studio Code

AI code evaluation supplier CodeRabbit introduced it’s bringing its answer to the Visible Studio Code editor, shifting code evaluation left into the IDE. This integration locations CodeRabbit immediately into the Cursor code editor and Windsurf, the AI coding assistant bought lately by OpenAI for US$3 billion.

By bringing CodeRabbit into VS Code, Cursor, and Windsurf, CodeRabbit is embedding AI on the earliest phases of growth. “As we’re bringing the critiques inside the editor, then these code adjustments might be reviewed earlier than every are pushed to the central repositories as a PR and likewise earlier than they even get dedicated, in order that developer can set off the critiques domestically at any time,” Gur Singh, co-founder of the 2-year-old CodeRabbit, informed SD Instances.

Zencoder launches Zen Brokers

Zen Brokers are customizable AI brokers that perceive your code and join along with your instruments. Zencoder has launched a platform for customizing them, in addition to an open-source market the place the group can contribute their very own brokers for others to make use of. 

“Zen Brokers create the right concord between human creativity and focused AI help,” mentioned Andrew Filev, CEO and founding father of Zencoder. “By enabling groups to craft brokers with particular experience after which deploy them organization-wide, we’re serving to builders obtain that elusive technical circulate state the place advanced issues appear to resolve themselves.”

Anaconda launches unified AI platform

Anaconda AI Platform is a platform that brings collectively all the instruments wanted to supply, safe, construct, and deploy AI in open supply ecosystems. 

It presents Fast Begin Environments which can be pre-configured, vetted for safety, and tailor-made for Python, finance, and AI/ML growth. In keeping with Anaconda, its platform can cut back or eradicate the necessity to handle configurations in order that builders have extra time to work on constructing. 

“The Anaconda AI Platform addresses the evolving wants of our ever-growing person base,” mentioned Laura Sellers, co-president and chief product and know-how officer at Anaconda. “Final yr, Anaconda clients quadrupled to over a million, underscoring the necessity for extra environment friendly, safe, and built-in package deal safety administration for AI innovation with open supply. We’re targeted on giving everybody the boldness and readability they should accomplish their knowledge science and AI targets.”

Parasoft provides agentic AI capabilities to SOAtest

SOAtest’s AI Assistant now makes use of agentic AI to assist with take a look at state of affairs technology, similar to producing take a look at knowledge and parameterizing take a look at eventualities for knowledge looping. 

It may possibly work by way of multi-step workflows alongside the tester, permitting testers to execute complete assessments with out scripts, superior code-level abilities, or in-depth area information.


Learn final week’s roundup right here: AI updates from the previous week: IBM watsonx Orchestrate updates, internet search in Anthropic API, and extra — Could 9, 2025

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