Google’s new Opal instrument permits customers to create mini AI apps with no coding required
Google has launched a brand new experimental AI instrument designed for customers who need to construct apps completely 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 enhancing.
“Opal is a superb instrument to speed up prototyping AI concepts and workflows, display a proof of idea with a practical app, construct customized AI apps to spice up your productiveness at work, and extra,” Google wrote in a weblog publish.
The instrument 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 have the ability to edit the generated workflow both within the visible editor or by extra prompts.
Gemini 2.5 Flash-Lite is now usually obtainable
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. For 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 Take a look at Engineer Agent, Code Reviewer Agent, Platform Engineer Agent, and Deployment Engineer Agent.
The primary beta is accessible 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 develop 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 a couple of 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 offer Gemini with directions for code technology, like particular coding requirements, dealing with strategies, dependencies, and growth greatest 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 will probably deal with complicated requests from customers autonomously.
It leverages two of OpenAI’s present capabilities: Operator, which may work together with web sites, and deep analysis, which may synthesize info. In accordance with OpenAI, these capabilities had been greatest fitted to totally different conditions, with Operator combating 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 completely new capabilities inside one mannequin. It might probably now actively interact web sites—clicking, filtering, and gathering extra exact, environment friendly outcomes. It’s also possible to naturally transition from a easy dialog to requesting actions immediately inside 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 hundreds 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.
“As we speak’s launch is one other key step in our quest to ship the database of selection for builders constructing mission-critical AI-powered functions,” mentioned 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 suppleness 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 study from expertise. “You possibly can spend a whole lot 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 best way a human worker would. They will’t construct context, study from errors, or develop the refined understanding that makes human employees invaluable. We’re fixing this on the infrastructure degree.”
This funding spherical shall 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 present 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 answer Virtualize, permitting prospects to create digital companies utilizing pure language prompts.
For instance, a consumer may write the immediate: “Create a digital service for a cost processing API. There needs to be a POST and a GET operation. The operations ought to require an account id together with different information associated to cost.”
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 conduct, parameterized responses, and the proper default values.
Slack’s AI search now works throughout a corporation’s total data base
Slack is introducing various new AI-powered instruments to make crew collaboration simpler and extra intuitive.
“As we speak, 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 best way groups truly work,” Slack wrote in a weblog publish.
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 might probably search throughout techniques 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 compensate for conversations shortly. It’s introducing AI-powered translations as effectively to allow customers to learn and reply of their most well-liked 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 present growth groups insights into how they’re utilizing the instrument.
It tracks metrics comparable to traces of code accepted, suggestion acceptance charge, whole consumer exercise over time, whole 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 will help organizations perceive developer satisfaction with Claude Code strategies, 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 affords “state-of-the-art accuracy and native semantic understanding within the open, at lower than half the worth 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 could be accessed through Mistral’s API.
JFrog releases MCP server
The MCP server will permit customers to create and look at tasks and repositories, get detailed vulnerability info 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 day by 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 growth with options comparable to the flexibility to delegate a number of duties concurrently, the flexibility to make fast fixes with out opening the IDE, crew collaboration immediately 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 hook up with exterior sources. Different new options embody 30% quicker job completion pace and help for distant growth on macOS and Linux.
Gemini API will get first embedding mannequin
A majority 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. It will likely be provided through each free and paid tiers to allow builders to experiment with it without cost after which scale up as wanted.
