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This week in AI dev instruments: Gemini 2.5 Flash-Lite, GitLab Duo Agent Platform beta, and extra (July 25, 2025)

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Gemini 2.5 Flash-Lite is now typically accessible

The mannequin is Google’s quickest and most cost-effective 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 might be 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 may 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. 

A few of 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 accessible 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 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 number of weeks in the past when it added new Agent modes, help for MCP, and integration with the Gemini CLI.

Now it’s saying up to date workspace templates for Flutter, Angular, React, Subsequent.js, and normal Internet that use the Agent mode by default. Customers will nonetheless be capable 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 it is going to be updating templates for frameworks like Go, Node.js, and .NET over the subsequent few weeks as nicely.

ChatGPT now has an agent mode

OpenAI is bringing the facility of agentic AI to ChatGPT in order that it might deal with advanced 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 response to OpenAI, these capabilities have been finest suited to totally different conditions, with Operator scuffling with 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 completely new capabilities inside one mannequin. It could possibly now actively have interaction web sites—clicking, filtering, and gathering extra exact, environment friendly outcomes. You may as well naturally transition from a easy dialog to requesting actions straight 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 alternative for builders constructing mission-critical AI-powered purposes,” stated Karthik Ranganathan, co-founder and CEO, Yugabyte. “As we constantly 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 Collection 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 may spend tons 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 will’t construct context, be taught from errors, or develop the delicate understanding that makes human staff invaluable. We’re fixing this on the infrastructure stage.”

This funding spherical will probably 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 resolution Virtualize, permitting clients to create digital providers utilizing pure language prompts.

For instance, a person may write the immediate: “Create a digital service for a cost processing API. There ought 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 offered API service definitions, pattern requests/responses, and written descriptions of a service to generate a digital service with dynamic habits, parameterized responses, and the proper default values.


Learn final week’s updates right here

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