

Google’s new Opal software permits customers to create mini AI apps with no coding required
Google has launched a brand new experimental AI software designed for customers who wish to construct apps totally utilizing AI prompts, with no coding wanted in any respect.
Opal permits customers to create mini AI apps by chaining collectively AI prompts, fashions, and instruments, utilizing pure language and visible modifying.
“Opal is a good software to speed up prototyping AI concepts and workflows, show a proof of idea with a useful app, construct customized AI apps to spice up your productiveness at work, and extra,” Google wrote in a weblog put up.
The software consists of a visible editor to assist creators see the workflows of their apps and join totally different prompts collectively to construct multi-step apps. It permits the consumer to explain the logic they need within the app and have Opal construct the workflow for them. Customers will be capable of edit the generated workflow both within the visible editor or by extra prompts.
Gemini 2.5 Flash-Lite is now usually out there
The mannequin is Google’s quickest and least expensive mannequin, costing $0.10/1M tokens for enter and $0.40/1M tokens for output (in comparison with $1.25/1M tokens for enter and $10/1M tokens for output in Gemini 2.5 Professional).
“We constructed 2.5 Flash-Lite to push the frontier of intelligence per greenback, with native reasoning capabilities that may be optionally toggled on for extra demanding use circumstances. Constructing on the momentum of two.5 Professional and a couple of.5 Flash, this mannequin rounds out our set of two.5 fashions which are prepared for scaled manufacturing use,” Google wrote in a weblog put up.
GitLab Duo Agent Platform enters beta
GitLab Duo Agent Platform is an orchestration platform for AI brokers that work throughout DevSecOps in parallel. As an example, a consumer may delegate a refactoring job to a Software program Developer Agent, have a Safety Analyst Agent scan for vulnerabilities, and have a Deep Analysis Agent analyze progress throughout the repository.
Among the different brokers that GitLab is constructing as a part of this embody a Chat Agent, Product Planning Agent, Software program Check Engineer Agent, Code Reviewer Agent, Platform Engineer Agent, and Deployment Engineer Agent.
The primary beta is obtainable for GitLab.com and self-managed GitLab Premium and Final clients. It features a VS Code extension and JetBrains IDEs plugins, and subsequent month the corporate plans so as to add it to GitLab and develop IDE assist.
Google provides up to date workspace templates in Firebase Studio that leverage new Agent mode
Google is including a number of new options to its cloud-based AI workspace Firebase Studio, following its replace just a few weeks in the past when it added new Agent modes, assist for MCP, and integration with the Gemini CLI.
Now it’s asserting up to date workspace templates for Flutter, Angular, React, Subsequent.js, and common Internet that use the Agent mode by default. Customers will nonetheless be capable of toggle between the “Ask” and Agent mode, relying on what the duty at hand requires.
The templates now have an airules.md file to offer Gemini with directions for code technology, like particular coding requirements, dealing with strategies, dependencies, and improvement greatest practices.
Google says it is going to be updating templates for frameworks like Go, Node.js, and .NET over the following few weeks as effectively.
ChatGPT now has an agent mode
OpenAI is bringing the facility of agentic AI to ChatGPT in order that it might deal with complicated requests from customers autonomously.
It leverages two of OpenAI’s current capabilities: Operator, which might work together with web sites, and deep analysis, which might synthesize info. In keeping with OpenAI, these capabilities have been greatest fitted to totally different conditions, with Operator scuffling with complicated evaluation and deep analysis being unable to work together with web sites to refine outcomes or entry content material that required authentication.
“By integrating these complementary strengths in ChatGPT and introducing extra instruments, we’ve unlocked totally new capabilities inside one mannequin. It could now actively interact web sites—clicking, filtering, and gathering extra exact, environment friendly outcomes. You may as well naturally transition from a easy dialog to requesting actions instantly inside the similar chat,” the corporate wrote in a weblog put up.
YugabyteDB provides new capabilities for AI builders
The corporate added new vector search capabilities, an MCP Server, and built-in Connection Pooling to assist tens of hundreds of connections per node.
Moreover, it introduced assist for LangChain, OLLama, LlamaIndex, AWS Bedrock, and Google Vortex AI. Lastly, YugabyteDB now has multi-modal API assist with the addition of assist for the MongoDB API.
“At this time’s launch is one other key step in our quest to ship the database of alternative for builders constructing mission-critical AI-powered functions,” mentioned Karthik Ranganathan, co-founder and CEO, Yugabyte. “As we constantly improve YugabyteDB’s compatibility with PostgreSQL, the expanded multi-modal assist, a brand new YugabyteDB MCP server, and wider integration with the AI ecosystem present AI app builders with the instruments and suppleness they want for future success.”
Composio raises $29 million in Collection A funding
The corporate is attempting to construct a shared studying layer for AI brokers in order that they will study from expertise. “You’ll be able to spend a whole bunch of hours constructing LLM instruments, tweaking prompts, and refining directions, however you hit a wall,” mentioned Soham Ganatra, CEO of Composio. “These fashions don’t get higher at their jobs the way in which a human worker would. They’ll’t construct context, study from errors, or develop the delicate understanding that makes human employees invaluable. We’re fixing this on the infrastructure degree.”
This funding spherical can be used to speed up the event of Composio’s studying infrastructure. The spherical was led by Lightspeed Enterprise Companions, with participation from Vercel’s CEO Guillermo Rauch, HubSpot’s CTO and founder Dharmesh Shah, investor Gokul Rajaram, Rubrik’s co-founder Soham Mazumdar, V Angel, Blitzscaling Ventures, Operator Companions, and Agent Fund by Yohei Nakajima, along with current buyers Elevation Capital and Collectively Fund.
Parasoft brings agentic AI to service virtualization in newest launch
The corporate added an agentic AI assistant to its digital testing simulation resolution Virtualize, permitting clients to create digital providers utilizing pure language prompts.
For instance, a consumer may write the immediate: “Create a digital service for a fee processing API. There needs to be a POST and a GET operation. The operations ought to require an account id together with different knowledge associated to fee.”
The platform will then draw from the offered API service definitions, pattern requests/responses, and written descriptions of a service to generate a digital service with dynamic conduct, parameterized responses, and the proper default values.
Slack’s AI search now works throughout a company’s whole data base
Slack is introducing quite a few new AI-powered instruments to make staff collaboration simpler and extra intuitive.
“At this time, 60% of organizations are utilizing generative AI. However most nonetheless fall in need of its productiveness promise. We’re altering that by placing AI the place work already occurs — in your messages, your docs, your search — all designed to be intuitive, safe, and constructed for the way in which groups truly work,” Slack wrote in a weblog put up.
The brand new enterprise search functionality will allow customers to go looking not simply in Slack, however any app that’s related to Slack. It could search throughout methods of report like Salesforce or Confluence, file repositories like Google Drive or OneDrive, developer instruments like GitHub or Jira, and venture administration instruments like Asana.
“Enterprise search is about turning fragmented info into actionable insights, serving to you make faster, extra knowledgeable selections, with out leaving Slack,” the corporate defined.
The platform can also be getting AI-generated channel recaps and thread summaries, serving to customers make amends for conversations shortly. It’s introducing AI-powered translations as effectively to allow customers to learn and reply of their most popular language.
Anthropic’s Claude Code will get new analytics dashboard to offer insights into how groups are utilizing AI tooling
Anthropic has introduced the launch of a brand new analytics dashboard in Claude Code to offer improvement groups insights into how they’re utilizing the software.
It tracks metrics resembling traces of code accepted, suggestion acceptance charge, complete consumer exercise over time, complete spend over time, common day by day spend for every consumer, and common day by day traces of code accepted for every consumer.
These metrics may also help organizations perceive developer satisfaction with Claude Code recommendations, monitor code technology effectiveness, and establish alternatives for course of enhancements.
Mistral launches first voice mannequin
Voxtral is an open weight mannequin for speech understanding, that Mistral says provides “state-of-the-art accuracy and native semantic understanding within the open, at lower than half the value of comparable APIs. This makes high-quality speech intelligence accessible and controllable at scale.”
It is available in two mannequin sizes: a 24B model for production-scale functions and a 3B model for native deployments. Each sizes can be found below the Apache 2.0 license and may be accessed by way of Mistral’s API.
JFrog releases MCP server
The MCP server will enable customers to create and examine initiatives and repositories, get detailed vulnerability info from JFrog, and evaluate the parts in use at a company.
“The JFrog Platform delivers DevOps, Safety, MLOps, and IoT providers throughout your software program provide chain. Our new MCP Server enhances its accessibility, making it even simpler to combine into your workflows and the day by day work of builders,” JFrog wrote in a weblog put up.
JetBrains proclaims updates to its coding agent Junie
Junie is now absolutely built-in into GitHub, enabling asynchronous improvement with options resembling the power to delegate a number of duties concurrently, the power to make fast fixes with out opening the IDE, staff collaboration instantly in GitHub, and seamless switching between the IDE and GitHub. Junie on GitHub is presently in an early entry program and solely helps JVM and PHP.
JetBrains additionally added assist for MCP to allow Junie to hook up with exterior sources. Different new options embody 30% quicker job completion velocity and assist for distant improvement on macOS and Linux.
Gemini API will get first embedding mannequin
Some of these fashions generate embeddings for phrases, phrases, sentences, and code, to offer context-aware outcomes which are extra correct than keyword-based approaches. “They effectively retrieve related info from data bases, represented by embeddings, that are then handed as extra context within the enter immediate to language fashions, guiding it to generate extra knowledgeable and correct responses,” the Gemini docs say.
The embedding mannequin within the Gemini API helps over 100 languages and a 2048 enter token size. Will probably be provided by way of each free and paid tiers to allow builders to experiment with it without cost after which scale up as wanted.