Latest news with #Jules'
Hans India
07-08-2025
- Business
- Hans India
Google Launches Jules: An AI Coding Assistant to Automate Developer Workflows with GitHub Integration
Google has officially taken the wraps off Jules, its next-generation AI-powered coding assistant that's designed to handle software development tasks autonomously. Built on the powerful Gemini 2.5 Pro model, Jules moves beyond conventional coding tools by offering asynchronous operation, secure cloud execution, and seamless GitHub integration — a combination aimed at supercharging developer productivity. Initially introduced in December 2024 and tested extensively during its beta phase, Jules is now available to the public, marking a major milestone in Google's mission to embed artificial intelligence deeper into the developer ecosystem. Unlike most traditional coding assistants that operate in-browser or via lightweight plugins, Jules runs independently on a Google Cloud virtual machine (VM). This secure setup allows it to fully clone and operate on a developer's codebase without interrupting local workflows. 'Jules runs tasks asynchronously and automates coding work for developers,' Google shared, adding that the tool can manage a wide range of functions including writing tests, fixing bugs, adding new features, updating dependencies, and even creating audio changelogs. Because the agent can execute multiple tasks in parallel, developers can delegate complex jobs while focusing on other priorities, significantly reducing development cycle times. One of the key strengths of Jules is steerability — developers aren't left out of the loop. They can review the AI's proposed plan at any stage, make changes, and then let the agent continue its work. After completing a task, Jules provides a comprehensive summary, outlining the actions it took, the reasoning behind those decisions, and a detailed code diff that highlights what was changed. To make things even smoother, Jules integrates directly with GitHub repositories, letting developers maintain their preferred coding environments without switching tools. During its beta phase, Jules was used by thousands of developers and contributed to over 140,000 code improvements. Based on that feedback, Google has introduced a range of upgrades, including a redesigned interface, faster execution through reusable setups, multimodal input support, and tighter GitHub issue linking. Importantly, Google has emphasized strong privacy and security measures. According to the company, Jules does not train on private code, and all data remains confined within secure VMs — ensuring developers retain full control over their intellectual property. Pricing and Availability To cater to varying user needs, Google has introduced three access tiers: Introductory Tier: Best for beginners looking to explore Jules' basic capabilities. Google AI Pro Tier: Designed for regular users, offering five times more usage than the base level. Google AI Ultra Tier: Tailored for power users handling complex, multi-agent coding projects, with twenty times the base tier's capacity. These plans are being rolled out immediately to Google AI Pro and Ultra subscribers. In a significant move for the academic community, eligible college students can avail a free one-year subscription to the AI Pro plan, giving them access to advanced tools for learning and real-world software development. With Jules, Google aims to shift the paradigm of software engineering — bringing AI agents that don't just assist, but autonomously execute development tasks with speed, precision, and security.
Yahoo
06-08-2025
- Business
- Yahoo
Google's AI coding agent Jules is now out of beta
Google on Wednesday launched its AI coding agent, Jules, out of beta, just over two months after its public preview debut in May. Powered by Gemini 2.5 Pro, Jules is an asynchronous, agent-based coding tool that integrates with GitHub, clones codebases into Google Cloud virtual machines, and uses AI to fix or update code while developers focus on other tasks. Google initially announced Jules as a Google Labs project in December and made it available to beta testers through a public preview at its I/O developer conference. Kathy Korevec, director of product at Google Labs, told TechCrunch that the tool's improved stability drove the decision to take it out of beta after receiving hundreds of UI and quality updates during its beta phase. 'The trajectory of where we're going gives us a lot of confidence that Jules is around and going to be around for the long haul,' she said. With the wider rollout, Google introduced structured pricing tiers for Jules, starting with an 'introductory access' free plan capped at 15 individual daily tasks and three concurrent ones, down from the 60-task limit during beta. Jules' paid tiers are part of the Google AI Pro and Ultra plans, which are priced at $19.99 and $124.99 a month, and offer subscribers 5× and 20× higher limits, respectively. Korevec noted that Jules' packaging and pricing are based on 'real usage' insights gathered over the past couple of months. 'The 60-task cap helped us study how developers use Jules and gave us the information we needed to design the new packaging,' she said. 'The 15/day is designed to give people a sense of whether Jules will work for them on real project tasks.' Google also updated Jules' privacy policy to be more explicit about how it trains AI. If a repository is public, its data may be used for training, but if it is private, Korevec said that no data is sent. 'We got a little bit of feedback from users that it [the privacy policy] wasn't as clear as we thought it was, and so we're most of it is just responding to that. We didn't change anything about what we're doing on the training side, but we changed the language,' Korevec said. During the beta, Google said that thousands of developers tackled tens of thousands of tasks, resulting in over 140,000 code improvements shared publicly. Initial feedback led the Google Labs team to add new capabilities, including reusing previous setups for faster task execution, integrating with GitHub issues, and supporting multimodal input. The two primary users of Jules so far are the AI enthusiasts and professional developers, Korevec said. By running asynchronously in a virtual machine, Jules stands apart from top AI coding tools like Cursor, Windsurf, and Lovable, which all work synchronously and require users to watch the output after each prompt. 'Jules operates like an extra set of hands… you can basically kick off tasks to it, and then you could close your computer and walk away from it if you want and then come back hours later. Jules would have those tasks done for you, versus if you were doing that with a local agent or using a synchronous agent, you would be bound to that session,' Korevec explained. This week, Jules received a deeper integration with GitHub to open pull requests automatically — just like it could open branches — and a feature called Environment Snapshots to save dependencies and install scripts as a snapshot for faster, more consistent task execution. From vibe coding to mobile use, beta trials informed Jules development Since entering public beta, Jules has logged 2.28 million visits worldwide, 45% of them from mobile devices, per data from market intelligence provider SimilarWeb, reviewed by TechCrunch. India was the top market for traffic, followed by the U.S. and Vietnam. Google did not share specifics on Jules' user base and its top geographies. Korevec told TechCrunch that during the beta, the team observed that many people used Jules from traditional vibe coding tools to either fix bugs that might have been implemented or extend the vibe-coded project to make it more production-ready. Originally, Jules required users to have an existing codebase. But Google soon realized many potential users — like those trying other AI tools — might want to explore it without one. Korevec said the company quickly enabled Jules to work even with an empty repository. That helped increase its scope and usage. Google Labs' team also noticed an increasing number of users accessing Jules through their mobile devices. Although the tool does not have a dedicated mobile app, Korevec said users were accessing it through its web app. 'Since it's a big use case that we're seeing emerging, we're absolutely exploring what the features are that people need on mobile a lot more,' she noted. Alongside beta testers, Korevec stated that Google already uses Jules to help develop some projects internally, and there is now a 'big push' to use the tool on 'a lot more projects' at the company. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
NDTV
16-07-2025
- Entertainment
- NDTV
Woman Prepares Meat Cake With Vegetable Toppings, Internet Surprisingly Likes It
Right when you thought you had seen every uncommon food combo on the internet, along comes the 'steak cake'. A viral Instagram video features YouTuber Sarah Marie whipping up this unconventional dish for her friend Jules' birthday, and yes, it's exactly what it sounds like. 'Let's make steak cake for Jules' birthday. I'm gonna use the mashed potatoes like icing,' Sarah announces, before layering hot steak between thick slabs of mashed potatoes and topping it all off with slices of pepper jack cheese and more creamy mash as 'frosting'. 'These are loaded mashed potatoes with cheese,' she adds 'It's okay if the mashed potatoes overflow because we're gonna ice the whole thing in mashed potatoes. What a genius idea. I know. I'm just so smart.' She then places another layer of hot steak, followed by the other two ingredients. While prepping her cake layers, she narrates the inspiration behind her fusion cake, 'This is expensive. It's a birthday dinner. Last night we went out to eat for Jules' birthday, and I like to make homemade meals, so this is what we're making.' After placing the last layer of steak on top, she happily calls it a 'pretty tall cake', mentioning, 'I'm pretty proud of this.' Sarah tried to pipe the mashed potatoes as frosting, and despite being halfway in the preparation, the sweet delight looked like a 'fancy square cake'. She continues, 'It looks like a real cake. Honestly, cruise ships should hire me. I would order this at a restaurant.' Finally, when it was time for the toppings, she took a vegetable mix featuring chopped onions, bell peppers, rosemary, and all the good stuff. She instructs, 'Pick up as much, and I want it to like stick up all pretty.' That's it, the steak cake is ready to serve. As she presented the steak cake for Jules' birthday, he replied, 'This is nuts.' Jules further asked, 'Is it 1 steak?' and upon learning from Sarah that there are multiple steaks in there layered one after the other and iced with potatoes, he looked completely stunned. Take a look at the video here. View this post on Instagram A post shared by Sarah marie (@sarahkrafft) The video received a series of positive reviews from food enthusiasts. One user said, 'I wanted to hate it so bad but man this is actually very cool. Shout out to the steak cake.' Another mentioned, 'I don't know man. I like it.' Someone said, 'We all had the same stages of response: 'Hate it… wait a minute! That looks pretty good. Now I want one',' followed by a series of appreciative emojis. 'Jokes aside this looks AMAZING. I'd definitely want this for my birthday,' a user wrote.
7NEWS
02-07-2025
- Entertainment
- 7NEWS
Target's 30 per cent off jackets and coats sale: Shop Jules Sebastian's $156 winter outfit before it sells out
Aussies are obsessed with Jules Sebastian's stylish winter outfit, featuring Target's $56 Trench Coat. The stylish mum and influencer's recent Instagram reel of her winter outfit, with the caption 'New finds from Target,' amassed more than 120,000 views. Jules was featured wearing Target's neutral-coloured Trench Coat, which is usually $80 but currently down to $56, the Mila Wide Leg High Rise Full Length Flat Front Denim Jeans, which retail for $50 and the Balloon Sleeve Lofty Cardigan, also $50. Know the news with the 7NEWS app: Download today The whole outfit comes to a total of $156, with all items available at Target. Jules was also seen wearing the Linen Blend Bomber Jacket, usually $60, now $42 and the Double Breasted Jett Blazer for $60. Fans left a glowing range of comments on Jules' Instagram post. 'Love these jeans, I have the exact same pair and they are so comfortable, ' one person wrote. ' Love this jacket and your style,' another person added. 'Your decision to showcase affordable wardrobe styles showcases a down-to-earth attitude that I greatly admire,' a third person commented. Now is the perfect time to shop Jules' outfit because Target is currently offering a 30 per cent off sale on selected jackets and coats for a limited time. If you're wanting to upgrade your winter wardrobe without paying a hefty price tag, Target is the answer. Target's current range of sale jackets includes everything from trench coats to bomber jackets, cardigans and more. To help you shop this epic sale, we've compiled a list of some of our favourite jackets and coats below. Best Target sale picks To shop the full sale range, head to Target's website here.
Techday NZ
22-05-2025
- Techday NZ
Google launches Jules globally, an AI coding agent for GitHub
Google Labs has announced that Jules, its asynchronous coding agent, is now available in public beta for users worldwide. Jules, first introduced in December as a preview, differs from traditional code-completion tools or co-pilots by operating as an autonomous agent capable of reading code, understanding user intent, and carrying out tasks with minimal intervention. Jules is designed to integrate directly with existing code repositories by cloning the codebase into a secure Google Cloud virtual machine. Once integrated, it completes tasks such as writing tests, building new features, providing audio changelogs, fixing bugs, and updating dependency versions. This approach allows users to focus on other activities while Jules works independently in the background. "Jules is an asynchronous, agentic coding assistant that integrates directly with your existing repositories. It clones your codebase into a secure Google Cloud virtual machine (VM), understands the full context of your project, and performs tasks such as: Writing tests, building new features, providing audio changelogs, fixing bugs, and bumping dependency versions. Jules operates asynchronously, allowing you to focus on other tasks while it works in the background. Upon completion, it presents its plan, reasoning and a diff of the changes made. Jules is private by default, it doesn't train on your private code, and your data stays isolated within the execution environment," said Kathy Korevec, Director, Product Management at Google Labs. Security and privacy are key aspects of the platform. Jules is private by default, with user data remaining isolated within the execution environment, and there is no training of AI models on private code. The coding agent builds on Google's Gemini 2.5 Pro language model. This enables Jules to perform advanced reasoning and make multi-file changes across projects. By leveraging the cloud virtual machine setup, it can handle concurrent and complex tasks efficiently. "We're at a turning point: agentic development is shifting from prototype to product and quickly becoming central to how software gets built. Jules uses Gemini 2.5 Pro, giving it access to some of the most advanced coding reasoning available today. Paired with its cloud VM system, it can handle complex, multi-file changes and concurrent tasks with speed and precision," Korevec stated. Jules does not require a sandbox environment, instead operating on production codebases with full project context. Users benefit from parallel execution of tasks, handled within the cloud virtual machine, and have visibility into Jules' proposed workflow through visible plans and reasoning prior to any code changes being applied. The platform integrates with GitHub, enabling workflows directly within the familiar repository interface without additional context switching or setup. Users can adjust plans before, during, or after execution for greater control, and an audio changelog feature provides a contextual narration of recent commits. "Here's a look at what you get with Jules: Works on real codebases: Jules doesn't need a sandbox. It takes the full context of your existing project to reason about changes intelligently. Parallel execution: Tasks run inside a cloud VM, enabling concurrent execution. It can handle multiple requests simultaneously. Visible workflow: Jules shows you its plan and reasoning before making changes. GitHub integration: Jules works where you already do, directly inside your GitHub workflow. No context-switching, no extra setup. User steerability: Modify the presented plan before, during, and after execution to maintain control over your code. Audio summaries: Jules offers an audio changelog of recent commits, turning your project history into a contextual changelog you can listen to," Korevec explained. During the initial public beta phase, Jules is available without charge, though users may be subject to usage limits. Details about these limitations are provided in the platform's documentation. Google Labs anticipates introducing a pricing structure once the platform moves beyond the beta stage and as features continue to be developed and refined.
