Google’s Agent2Agent protocol finds new residence on the Linux Basis
On the Open Supply Summit North America, it was introduced that Google donated its Agent2Agent (A2A) protocol to the Linux Basis.
The A2A protocol provides a typical approach for connecting brokers to one another. On this approach, it enhances Anthropic’s Mannequin Context Protocol (MCP), which offers a approach to join brokers to totally different information sources and functions.
“Drawing on Google’s inner experience in scaling agentic methods, we designed the A2A protocol to handle the challenges we recognized in deploying large-scale, multi-agent methods for our clients. A2A empowers builders to construct brokers able to connecting with every other agent constructed utilizing the protocol and provides customers the pliability to mix brokers from varied suppliers,” Google wrote in a weblog publish when it first launched A2A in April.
OpenAI provides Deep Analysis and Webhooks to the API
The addition of Deep Analysis will allow builders to construct analysis brokers that discover, analyze, and synthesize information.
Webhooks had been additionally added, enabling builders to obtain notifications for API occasions like accomplished responses, fine-tuning jobs, and batch jobs.
Moreover, the corporate is dropping the worth for net search and including it into extra fashions. It prices $10 / 1k instrument calls in o3, o3-pro, and o4 mini, and $25 / 1k instrument calls in GPT-4o and GPT-4.1.
Anthropic provides means to host and share Claude apps in its platform
Now, builders will be capable to not solely work together with Claude, but in addition use it to construct, host, and share their creations, eliminating the necessity to fear about internet hosting it themselves.
Customers will authenticate with their very own Claude account, and their API utilization will rely towards their subscription as an alternative of the app developer being charged.
Qodo launches CLI agent framework
Qodo, maker of an AI coding platform, at this time introduced the discharge of Qodo Gen CLI, an agent framework that permits builders to create, customise, and deploy their very own AI coding brokers.
With the framework, creating brokers may be executed by writing configuration recordsdata that add autonomous AI brokers all through the software program improvement life cycle, in accordance with the corporate’s announcement.
Qodo was constructed to assist builders add autonomous coding capabilities to their functions with out requiring experience in AI methods, which may result in options that sync up with a company’s necessities, the corporate mentioned. With Qodo Gen CLI, builders can outline customized brokers and what instruments they will entry, specify actions that set off the brokers, what directions information their habits and finally, what their outputs must be.
Warp 2.0 evolves terminal expertise into an Agentic Improvement Setting
Warp is present process a major transformation with its 2.0 launch, shifting from its origins as a terminal emulator with AI integrations into an Agentic Improvement Setting (ADE).
It consists of 4 fundamental capabilities: Code, Brokers, Terminal, and Drive. Any of these may be initiated from the primary interface, which accepts each prompts and terminal instructions.
“The merchandise in the marketplace at this time, from AI IDEs to CLI coding brokers, all miss the mark supporting this workflow. They bolt brokers onto code editors by means of chat panels and bury them in CLI apps. What’s wanted is a product native to the agentic workflow; one primarily designed for prompting, multi-threading, agent administration, and human-agent collaboration throughout real-world codebases and infrastructure,” Zach Lloyd, the corporate’s CEO and founder, wrote in a weblog publish.
Agent Mode for Gemini added to Android Studio
With Agent Mode, a developer can describe a posh aim, then the agent will provide you with an execution plan after which full the duties.
Examples of duties Agent Mode can sort out embrace constructing a mission and fixing errors, extracting hardcoded strings and migrating them to strings.xml, including assist for darkish mode to an app, and implementing a brand new display in an app from a screenshot.
Builders could have the flexibility to evaluation, settle for, or reject any of the agent’s proposed modifications, or ask it to iterate on their suggestions. There’s additionally an auto-approve characteristic that may be enabled for conditions when a developer desires to iterate rapidly on concepts.
Vercel Agent launches in restricted beta
The Vercel Agent is an AI assistant that analyzes Vercel app efficiency and safety information.
It may well summarize anomalies, determine probably root causes, and advocate remediation actions throughout all the platform, from managing firewall guidelines to figuring out optimization alternatives.
Tricentis Agentic Take a look at Automation
It is a new AI agent that may generate check instances routinely, leveraging text-based prompts in addition to prior check runs. It additionally makes use of Tricentis’ Imaginative and prescient AI expertise to interpret visible components throughout platforms, and integrates with Tricentis Tosca.
Moreover, the corporate launched a distant MCP server and a beta for its AI workflows functionality that permits higher communication between brokers and people.
Gemini 2.5 Professional and Flash are usually obtainable and Gemini 2.5 Flash-Lite in preview
Based on Google, no modifications have been made to Professional and Flash because the final preview, aside from the pricing for Flash is totally different. When these fashions had been first introduced, there was separate considering and non-thinking pricing, however Google mentioned that separation led to confusion amongst builders.
The brand new pricing for two.5 Flash is identical for each considering and non-thinking modes. The costs are actually $0.30/1 million enter tokens for textual content, picture, and video, $1.00/1 million enter tokens for audio, and $2.50/1 million output tokens for all. This represents a rise in enter price and a lower in output price.
Google additionally launched a preview of Gemini 2.5 Flash-Lite, which has the bottom latency and price among the many 2.5 fashions. The corporate sees this as an economical improve from 1.5 and a pair of.0 Flash, with higher efficiency throughout most evaluations, decrease time to first token, and better tokens per second decode.
Gemini 2.5 Flash-Lite additionally permits customers to regulate the considering price range through an API parameter. For the reason that mannequin is designed for price and pace effectivity, considering is turned off by default.
GitHub Copilot Areas arrive
GitHub Copilot Areas enable builders to bundle the context Copilot ought to learn right into a reusable area, which may embrace issues like code, docs, transcripts, or pattern queries.
As soon as the area is created, each chat, completion, or command Copilot works from will probably be grounded in that information, enabling it to provide “solutions that really feel like they got here out of your group’s resident knowledgeable as an alternative of a generic mannequin,” GitHub defined.
Copilot Areas will probably be free throughout its public preview and gained’t rely towards Copilot seat entitlements when the bottom mannequin is used.
OpenAI improves prompting in API
The corporate has now made it simpler to reuse, share, save, and handle prompts within the API by making prompts an API primitive.
Prompts may be reused throughout the Playground, API, Evals, and Saved Completions. The Immediate object may also be referenced within the Responses API and OpenAI’s SDKs.
Moreover, the Playground now has a button that can optimize the immediate to be used within the API.
“By unifying prompts throughout our surfaces, we hope these modifications will make it easier to refine and reuse prompts higher—and extra promptly,” OpenAI wrote in a publish.
Syncfusion releases Code Studio
Code Studio is an AI-powered code editor that differs from different choices obtainable by having the LLM make the most of Syncfusion’s library of over 1,900 pre-tested UI parts slightly than producing code from scratch.
It provides 4 totally different help modes: Autocomplete, Chat, Edit, and Agent. It really works with fashions from OpenAI, Anthropic, Google, Mistral, and Cohere, in addition to self-hosted fashions. It additionally comes with governance capabilities like role-base entry, audit logging, and an admin console that gives utilization insights.
“Code Studio started as an in-house instrument and at this time writes as much as a 3rd of our code,” mentioned Daniel Jebaraj, CEO of Syncfusion. “We created a safe, model-agnostic assistant so enterprises can plug it into their stack, faucet our confirmed UI parts, and ship cleaner options in much less time.”
AI Alliance splits into two new non-profits
The AI Alliance is a collaborative effort amongst over 180 organizations throughout analysis, educational, and trade, together with Carnegie Mellon College, Hugging Face, IBM, and Meta. It has now been integrated right into a 501(c)(3) analysis and training lab and a 501(c)(6) AI expertise and advocacy group.
The analysis and training lab will deal with “managing and supporting scientific and open-source initiatives that allow open group experimentation and studying, main to higher, extra succesful, and accessible open-source and open information foundations for AI.”
The expertise and advocacy group will deal with “world engagement on open-source AI advocacy and coverage, driving expertise improvement, trade requirements and greatest practices.”
Digital.ai introduces Fast Shield Agent
Fast Shield Agent is a cellular utility safety agent that follows the suggestions of OWASP MASVS, an trade commonplace for cellular app safety. Examples of OWASP MASVS protections embrace obfuscation, anti-tampering, and anti-analysis.
“With Fast Shield Agent, we’re increasing utility safety to a broader viewers, enabling organizations each massive and small so as to add highly effective protections in just some clicks,” mentioned Derek Holt, CEO of Digital.ai. “In at this time’s AI world, all apps are in danger, and by democratizing our app hardening capabilities, we’re enabling the safety of extra functions throughout a broader set of industries. With eighty-three p.c of functions below fixed assault – the continued innovation inside our core choices, together with the launch of our new Fast Shield Agent, couldn’t be coming at a extra essential time.”
IBM launches new integration to assist unify AI safety and governance
It’s integrating its watsonx.governance and Guardium AI safety options in order that corporations can handle each from a single instrument. The built-in resolution will be capable to validate towards 12 totally different compliance frameworks, together with the EU AI Act and ISO 42001.
Guardium AI Safety is being up to date to have the ability to detect new AI use instances in cloud environments, code repositories, and embedded methods. Then, it might probably routinely set off the suitable governance workflows from watsonx.governance.
“AI brokers are set to revolutionize enterprise productiveness, however the very advantages of AI brokers can even current a problem,” mentioned Ritika Gunnar, common supervisor of information and AI at IBM. “When these autonomous methods aren’t correctly ruled or secured, they will carry steep penalties.”
Safe Code Warrior introduces AI Safety Guidelines
This new ruleset will present builders with steerage for utilizing AI coding assistants securely. It permits them to determine guardrails that discourage the AI from dangerous patterns, resembling unsafe eval utilization, insecure authentication flows, or failure to make use of parameterized queries.
They are often tailored to make use of with a wide range of coding assistants, together with GitHub Copilot, Cline, Roo, Cursor, Aider, and Windsurf.
The principles can be utilized as-is or tailored to an organization’s tech stack or workflow in order that AI-generated output higher aligns throughout initiatives and contributors.
“These guardrails add a significant layer of protection, particularly when builders are shifting quick, multitasking, or discover themselves trusting AI instruments somewhat an excessive amount of,” mentioned Pieter Danhieux, co-founder and CEO of Safe Code Warrior. “We’ve stored our guidelines clear, concise and strictly targeted on safety practices that work throughout a variety of environments, deliberately avoiding language or framework-specific steerage. Our imaginative and prescient is a future the place safety is seamlessly built-in into the developer workflow, no matter how code is written. That is only the start.”
SingleStore provides new capabilities for deploying AI
The corporate has improved the general information integration expertise by permitting clients to make use of SingleStore Movement inside Helios to maneuver information from Snowflake, Postgres, SQL Server, Oracle, and MySQL to SingleStore.
It additionally improved the mixing with Apache Iceberg by including a pace layer on prime of Iceberg to enhance information change speeds.
Different new options embrace the flexibility for Aura Container Service to host Cloud Features and Inference APIs, integration with GitHub, Notebooks scheduling and versioning, an up to date billing forecasting UI, and simpler pipeline monitoring and sequences.
Apple proclaims Basis Fashions framework
The Basis Fashions framework will allow any app developer to make the most of Apple Intelligence’s on-device processing for his or her apps. Apple Intelligence leverages Apple’s silicon processors to have the ability to course of information with out it leaving the system, making certain higher information privateness for customers.
Based on Apple, Automattic’s journaling app Day One utilized the framework so as to add intelligence options which are privacy-centric.
“The Basis Mannequin framework has helped us rethink what’s potential with journaling,” mentioned Paul Mayne, head of Day One at Automattic. “Now we will convey intelligence and privateness collectively in ways in which deeply respect our customers.”
The framework natively helps Swift, and contains capabilities resembling guided technology and power calling.
Mistral launches its first reasoning mannequin
Magistral is a reasoning mannequin that excels in “domain-specific, clear, and multilingual reasoning,” in accordance with the corporate.
It is available in two totally different sizes: Magistral Small is a 24B parameter model and Magistral Medium is a extra highly effective model for the enterprise. Magistral Small can be open supply in order that the group can construct upon its structure and reasoning processes.
New Relic provides MCP assist in AI Monitoring resolution
What this implies is that builders who’re constructing brokers with MCP will be capable to get insights into the life cycle of an MCP request, which encompasses invoked instruments, name sequences, and execution durations.
With this new functionality, builders will be capable to correlate MCP efficiency with all the utility ecosystem. It’ll allow them to trace utilization patterns, latency, errors, and efficiency, to allow them to optimize their MCP providers.
ArmorCode releases AI Code Insights
This newest providing makes use of the corporate’s agent Anya, which has contextual understanding of a buyer’s code repositories.
Its key advantages embrace the flexibility to higher prioritize remediation efforts, floor hidden property, handle change dangers, perceive code possession, and have proactive AI publicity administration.
“Whereas improvement velocity has skyrocketed, safety groups are sometimes flying blind, buried in alerts with out understanding the precise danger lurking inside their code repositories,” mentioned Mark Lambert, chief product officer at ArmorCode. “AI Code Insights modifications that. We’re offering the essential context – the ‘what, who and the way’ – behind the code and vulnerability. This enables organizations to lastly lower by means of the noise, prioritize successfully, and proactively safe their most crucial property earlier than they turn into liabilities. It’s about making present safety investments work smarter, not simply tougher.”
Amplitude launches AI brokers for product improvement
These new brokers can help with bettering checkout conversion, characteristic adoption, and consumer onboarding. It may well additionally search for indicators {that a} consumer is able to improve in order that it might probably ship them particular provides.
With Amplitude’s AI Brokers working across the clock, product improvement shifts from a sluggish, step-by-step course of to a high-speed, multi-track system the place technique, evaluation, and motion can occur on the identical time,” mentioned Spenser Skates, CEO and co-founder of Amplitude. “This isn’t nearly doing what you’ve at all times executed, sooner. It’s about doing what you wouldn’t, couldn’t, or didn’t know the best way to do earlier than.”
OpenAI o3-pro obtainable within the API
OpenAI has introduced that o3-pro can now be accessed by means of the OpenAI API. Moreover, Professional and Staff customers can now use o3-pro in ChatGPT.
The pricing for utilizing o3-pro within the API will probably be 87% cheaper than o1-pro, and the worth of o3 can be being lower by 80%. “We optimized our inference stack that serves o3. Identical precise mannequin—simply cheaper,” the corporate wrote in a publish on X.
Zencoder launches end-to-end UI testing agent
Zencoder has introduced a public beta for Zentester, its new end-to-end UI testing AI agent.
Zentester imitates how people behave when interacting with net functions, resembling navigating the structure, and figuring out and utilizing interactive components. It does this by combining photographs (screenshots) with DOM (snapshot) data.
Because it runs by means of check situations, it generates check artifacts that seize the actions carried out and the anticipated visible and practical outcomes.
Databricks provides new instruments like Lakebase, Lakeflow Designer, and Agent Bricks to higher assist constructing AI apps and brokers within the enterprise
Lakebase is a managed Postgres database designed for operating AI apps and brokers. It provides an operational database layer to Databricks’ Knowledge Intelligence Platform.
Coming quickly as a preview, Lakeflow Designer is a no-code ETL functionality for creating manufacturing information pipelines. It encompasses a drag-and-drop UI and an AI assistant that permits customers to explain what they need in pure language.
It’s based mostly on Lakeflow, the corporate’s resolution for information engineers for constructing information pipelines. Lakeflow is now usually obtainable, with new options resembling Declarative Pipelines, a brand new IDE, new point-and-click ingestion connectors for Lakeflow Join, and the flexibility to put in writing on to the lakehouse utilizing Zerobus.
Agent Bricks is Databricks’ new instrument for creating brokers for enterprise use instances. Customers can describe the duty they need the agent to do, join their enterprise information, and Agent Bricks handles the creation.
Trustwise launches belief layer for AI brokers
Its new Concord AI resolution contains six shields that safe AI throughout totally different fashions, brokers, and clouds. They embrace an MCP Protect, Immediate Protect (to forestall injection assaults and hallucinations), Compliance Protect, Model Protect (for sustaining model tone and persona), Price Protect, and Carbon Protect (for lowering carbon footprint of AI).
“Builders aren’t simply securing textual content anymore, they’re securing actions,” mentioned Matthew Barker, head of AI analysis at Trustwise. “That calls for real-time controls that assist each builders and safety groups monitor how brokers assume, determine, and act. Concord AI acts as a runtime protect, imposing safety and management instantly within the determination loop and stopping drift earlier than brokers go off beam.”
OpenAI proclaims Codex updates
The coding agent Codex can now entry the web throughout job execution, opening up new capabilities resembling the flexibility to put in base dependencies, run exams that want exterior assets, and improve or set up packages.
Web entry is turned off by default. It may be enabled when a brand new atmosphere is created, or an atmosphere may be edited to permit it. Customers can management the domains and HTTP strategies that Codex can use.
OpenAI additionally introduced that Codex has begun rolling out to ChatGPT Plus customers. The corporate did be aware that it’d set charge limits for Plus customers throughout excessive demand intervals.
Mistral releases coding assistant
Mistral Code builds on the open-source mission Proceed, which offers a hub of fashions, guidelines, prompts, docs, and different constructing blocks for creating AI code assistants. It’s powered by 4 totally different coding fashions: Codestral, Codestral Embed, Devstral, and Mistral Medium.
It’s proficient in over 80 programming languages, and may purpose over recordsdata, Git diffs, terminal output, and points. It’s presently obtainable as a personal beta for JetBrains IDEs and VSCode.
“Our aim with Mistral Code is straightforward: ship best-in-class coding fashions to enterprise builders, enabling every little thing from on the spot completions to multi-step refactoring—by means of an built-in platform deployable within the cloud, on reserved capability, or air-gapped on-prem GPUs. Not like typical SaaS copilots, all elements of the stack—from fashions to code—are delivered by one supplier topic to a single set of SLAs, and each line of code resides contained in the buyer’s enterprise boundary,” the corporate wrote in its announcement.
Postman introduces Agent Mode to combine the facility of AI brokers into Postman’s core capabilities
The brokers can create, set up, and replace collections; create check instances; generate documentation; construct multi-step brokers to automate repeatable API duties; and setup monitoring and observability.
Abhinav Asthana, CEO and co-founder of Postman, advised SD Occasions that it’s type of like having an knowledgeable Postman consumer by your facet.
The corporate additionally introduced the flexibility for customers to show any public API on the Postman community into an MCP server. It additionally launched a community for MCP servers the place publishers can host instruments for brokers and have them be simply discoverable by builders. “We principally took all of the distant MCP servers obtainable at this time, verified them, and put them on the general public community,” mentioned Abhinav Asthana, CEO and co-founder of Postman.
FinOps Basis launches FinOps for AI certification
The coaching and certification is designed to “assist FinOps practitioners perceive, handle, and optimize AI-related cloud spend,” the inspiration defined.
It’ll deal with subjects resembling AI-specific price allocation, chargeback fashions, workload optimization, unit economics, and sustainability.
The teachings will probably be a four-part sequence, the primary of which is now obtainable, with the opposite elements launching in September 2025, November 2025, and January 2026. The certification examination will probably be obtainable in March of subsequent yr.
Newest model of Microsoft’s Dev Proxy provides LLM utilization and price monitoring
Dev Proxy 0.28 contains the OpenAITelemetryPlugin to offer visibility into how functions are interacting with OpenAI. For every request, it would present details about the mannequin used, the token rely, price estimation, and grouped summaries per mannequin.
Dev Proxy can even now use the native AI runtime stack Foundry Native as its native language mannequin supplier.
Different updates in Dev Proxy 0.28 embrace new extensions for .NET Aspire, improved producing PATCH operations for TypeSpec, assist for JSONC in mock recordsdata, and improved logging.
Snowflake introduces agentic AI improvements for information insights
Snowflake Intelligence (public preview quickly) is powered by clever information brokers and offers a pure language expertise for asking questions that may end up in the supply of actionable insights from structured and unstructured information. Additionally in non-public preview quickly is a brand new Knowledge Science Agent to assist information scientists automate routine ML mannequin improvement duties, in accordance with the corporate’s announcement.
Snowflake Intelligence brings collectively information from quite a few sources and makes use of the brand new Snowflake Openflow to compile data from spreadsheets, paperwork, photographs, and databases concurrently. The information brokers can generate visualizations and help customers in taking motion on insights, Snowflake mentioned in its announcement. Snowflake Intelligence can even entry third-party information by means of Cortex Information Extensions, quickly to be usually obtainable on Snowflake Market.
Progress provides new AI code assistants
Progress Software program introduced new AI code assistants and different capabilities constructed into the Q2 2025 launch of Progress Telerik and Progress Kendo UI, .NET and JavaScript UI libraries for contemporary utility improvement. This launch introduces AI Coding Assistants for Blazor and React, AI-driven theme technology and GenAI-powered reporting insights, the corporate introduced.
The AI Coding Assistants can routinely generate code in Telerik UI for Blazor and KendoReact libraries inside many AI-powered IDEs, which reduces the time spent on guide edits and shortens improvement cycles. Additional, developerws could make pure language prompts into Progress ThemeBuilder to create customized types for Telerik and Kendo UI parts, the corporate wrote in its announcement. The releases additionally embrace reporting summaries and insights powered by generative AI in Progress Telerik Reporting, in addition to a GenAI-powered PDF processing library, which the corporate mentioned can present “on the spot doc insights, AI immediate choices within the Editor management and new AI constructing blocks and web page templates to hurry up UI improvement.”
IBM proclaims wastonx AI Labs
Watsonx AI Lab is an innovation hub based mostly in New York Metropolis that can join AI builders with IBM’s assets and experience.
Based on IBM, NYC was chosen for the situation as a result of it has over 2,000 AI startups. The corporate hopes to assist these in addition to pursue collaborations with native universities and analysis establishments.
“This isn’t your typical company lab. watsonx AI Labs is the place the very best AI builders achieve entry to world-class engineers and assets and construct new companies and functions that can reshape AI for the enterprise,” mentioned Ritika Gunnar, common supervisor of information and AI at IBM. “By anchoring this mission in New York Metropolis, we’re investing in a various, world‑class expertise pool and a vibrant group whose improvements have lengthy formed the tech panorama.”