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 fully 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 superb software to speed up prototyping AI concepts and workflows, show a proof of idea with a purposeful app, construct customized AI apps to spice up your productiveness at work, and extra,” Google wrote in a weblog publish.
The software consists of a visible editor to assist creators see the workflows of their apps and join completely different prompts collectively to construct multi-step apps. It permits the person to explain the logic they need within the app and have Opal construct the workflow for them. Customers will have the ability to edit the generated workflow both within the visible editor or by way of further prompts.
Gemini 2.5 Flash-Lite is now typically 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 pair 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 publish.
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 illustration, a person might delegate a refactoring process 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 embrace a Chat Agent, Product Planning Agent, Software program Take a look at 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 prospects. It features a VS Code extension and JetBrains IDEs plugins, and subsequent month the corporate plans so as to add it to GitLab and increase IDE help.
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, help for MCP, and integration with the Gemini CLI.
Now it’s asserting up to date workspace templates for Flutter, Angular, React, Subsequent.js, and normal Net that use the Agent mode by default. Customers will nonetheless have the ability to toggle between the “Ask” and Agent mode, relying on what the duty at hand requires.
The templates now have an airules.md file to supply Gemini with directions for code technology, like particular coding requirements, dealing with strategies, dependencies, and improvement finest practices.
Google says will probably 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 may deal with advanced requests from customers autonomously.
It leverages two of OpenAI’s current capabilities: Operator, which may work together with web sites, and deep analysis, which may synthesize data. In accordance with OpenAI, these capabilities had been finest fitted to completely different conditions, with Operator fighting advanced 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 further instruments, we’ve unlocked fully new capabilities inside one mannequin. It might probably now actively have interaction web sites—clicking, filtering, and gathering extra exact, environment friendly outcomes. You may also naturally transition from a easy dialog to requesting actions straight throughout the similar chat,” the corporate wrote in a weblog publish.
YugabyteDB provides new capabilities for AI builders
The corporate added new vector search capabilities, an MCP Server, and built-in Connection Pooling to help tens of 1000’s of connections per node.
Moreover, it introduced help for LangChain, OLLama, LlamaIndex, AWS Bedrock, and Google Vortex AI. Lastly, YugabyteDB now has multi-modal API help with the addition of help for the MongoDB API.
“Right this moment’s launch is one other key step in our quest to ship the database of selection for builders constructing mission-critical AI-powered purposes,” stated Karthik Ranganathan, co-founder and CEO, Yugabyte. “As we repeatedly improve YugabyteDB’s compatibility with PostgreSQL, the expanded multi-modal help, a brand new YugabyteDB MCP server, and wider integration with the AI ecosystem present AI app builders with the instruments and adaptability they want for future success.”
Composio raises $29 million in Sequence A funding
The corporate is making an attempt to construct a shared studying layer for AI brokers in order that they’ll be taught from expertise. “You possibly can spend lots of of hours constructing LLM instruments, tweaking prompts, and refining directions, however you hit a wall,” stated 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, be taught from errors, or develop the refined understanding that makes human employees invaluable. We’re fixing this on the infrastructure stage.”
This funding spherical will likely 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 prospects to create digital companies utilizing pure language prompts.
For instance, a person might write the immediate: “Create a digital service for a fee processing API. There must be a POST and a GET operation. The operations ought to require an account id together with different information associated to fee.”
The platform will then draw from the supplied API service definitions, pattern requests/responses, and written descriptions of a service to generate a digital service with dynamic habits, parameterized responses, and the right default values.
Slack’s AI search now works throughout a corporation’s whole data base
Slack is introducing a variety of new AI-powered instruments to make group collaboration simpler and extra intuitive.
“Right this moment, 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 really work,” Slack wrote in a weblog publish.
The brand new enterprise search functionality will allow customers to look not simply in Slack, however any app that’s linked to Slack. It might probably search throughout programs of report like Salesforce or Confluence, file repositories like Google Drive or OneDrive, developer instruments like GitHub or Jira, and undertaking administration instruments like Asana.
“Enterprise search is about turning fragmented data into actionable insights, serving to you make faster, extra knowledgeable choices, 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 supply 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 equivalent to traces of code accepted, suggestion acceptance fee, whole person exercise over time, whole spend over time, common each day spend for every person, and common each day traces of code accepted for every person.
These metrics may help organizations perceive developer satisfaction with Claude Code recommendations, monitor code technology effectiveness, and determine alternatives for course of enhancements.
Mistral launches first voice mannequin
Voxtral is an open weight mannequin for speech understanding, that Mistral says presents “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 purposes and a 3B model for native deployments. Each sizes can be found below the Apache 2.0 license and could be accessed by way of Mistral’s API.
JFrog releases MCP server
The MCP server will enable customers to create and examine tasks and repositories, get detailed vulnerability data from JFrog, and evaluation the parts in use at a corporation.
“The JFrog Platform delivers DevOps, Safety, MLOps, and IoT companies throughout your software program provide chain. Our new MCP Server enhances its accessibility, making it even simpler to combine into your workflows and the each day work of builders,” JFrog wrote in a weblog publish.
JetBrains declares updates to its coding agent Junie
Junie is now absolutely built-in into GitHub, enabling asynchronous improvement with options equivalent to the flexibility to delegate a number of duties concurrently, the flexibility to make fast fixes with out opening the IDE, group collaboration straight in GitHub, and seamless switching between the IDE and GitHub. Junie on GitHub is at present in an early entry program and solely helps JVM and PHP.
JetBrains additionally added help for MCP to allow Junie to connect with exterior sources. Different new options embrace 30% sooner process completion velocity and help for distant improvement on macOS and Linux.
Gemini API will get first embedding mannequin
Most of these fashions generate embeddings for phrases, phrases, sentences, and code, to supply context-aware outcomes which are extra correct than keyword-based approaches. “They effectively retrieve related data from data bases, represented by embeddings, that are then handed as further 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 free of charge after which scale up as wanted.
