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Amazon CodeWhisperer is now called Q Developer and is expanding its features

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Pour one out for CodeWhisperer, Amazon’s AI-powered assistive coding tool. As of today, it’s kaput – in a way.

CodeWhisperer is now available Q-programmera part of Amazon’s Q family of business-oriented generative AI chatbots, which also includes the newly announced Q Business. Available via AWS, Q Developer helps with among the tasks developers perform of their every day work, akin to debugging and updating applications, troubleshooting, and performing security scans – very similar to CodeWhisperer did.

In an interview with TechCrunch, Doug Seven, CEO and director of AI developer experience at AWS, suggested that CodeWhisperer was a minor branding failure. Third party metrics reflect the identical; even with a free tier, CodeWhisperer has struggled to match the momentum of its fundamental rival GitHub Copilot, which has over 1.8 million paying individual users and tens of hundreds of enterprise customers. (Bad first impressions it definitely didn’t help.)

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“CodeWhisperer is where we started (code generation), bbut we really wanted to have a brand and name that fit a broader set of use cases,” Seven said. “You can take into consideration Q Developer as an evolution of CodeWhisperer into something much broader.”

To do that, Q Developer can generate code, including SQL, a programming language commonly used to create and manage databases, in addition to test that code and help transform and deploy recent code developed based on developer queries.

As with Copilot, customers can tune Q Developer of their internal code bases to enhance the accuracy of the tool’s programming recommendations. (The now deprecated CodeWhisperer also offered this selection.) And with a capability called Q Agents, Developer can autonomously do things like deploy features and document and refactor (i.e. restructure) code.

Ask Q Developer to “create an ‘add to favorites’ button in my app” and Q Developer will analyze your app’s code, generate recent code if obligatory, create a step-by-step plan, and test your code app before implementing proposed changes. Developers can review and iterate the plan before Q implements it, linking steps together and applying updates to the obligatory files, code blocks, and test suites.

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“Behind the scenes, Q Developer actually runs the development environment to work on the code,” Seven said. “So in the case of Q feature development, the Developer takes the entire code repository, creates a branch of that repository, parses the repository, does the work it was asked to do, and returns those code changes to the developer.”

Image credits: Amazon

Amazon says agents also can automate and manage code update processes because Java conversions are already available (specifically Java 8 and 11 built with Apache Maven to Java 17) and .NET conversions coming soon. “Q Developer analyzes the code – looking for anything that needs updating – and makes all those changes before returning it to the developer for review and approval,” Seven added.

In my opinion, Agents is very just like GitHub’s Copilot Workspace, which similarly generates and deploys roadmaps for bug fixes and recent software features. And – as with Workspace – I’m not entirely convinced that this more autonomous approach can solve the issues related to AI-based coding assistants.

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GitClear’s evaluation of over 150 million lines of code committed to project repositories over the past few years found that The co-pilot generated more code errors pushed to code bases. Elsewhere, security researchers warn that Copilot and similar tools can do that amplify existing bugs and security issues in software projects.

This is not surprising. AI-powered coding assistants seem impressive. But they’re trained in existing code, and their suggestions reflect patterns in other developers’ work – work that will be seriously flawed. Assistants’ guesses cause errors which can be often difficult to detect, especially when developers – who adopt AI coding assistants great numbers — put aside for evaluation by assistants.

In a less dangerous area beyond coding, Q Developer can aid you manage your organization’s cloud infrastructure on AWS – or at the very least get the data you should manage it yourself.

Q Developer can fulfill requests akin to “List all my Lambda functions” and “List my resources located in other AWS regions.” Currently in preview, the bot also can generate (but not execute) AWS CLI commands and answer AWS cost-related questions akin to “What were the top three highest-cost services in the first quarter?”

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Amazon Q Developer

Image credits: Amazon

So how much do these generative AI conveniences cost?

Q Developer is available without spending a dime on AWS Console, Slack, and IDEs akin to Visual Studio Code, GitLab Duo, and JetBrains – but with limitations. The free version doesn’t allow customization of custom libraries, packages and APIs and defaults to a knowledge collection scheme for users. It also imposes monthly limits of a maximum of 5 Agent tasks (e.g. feature deployment) per thirty days and 25 requests for AWS account resources per thirty days. (I find it surprising that Amazon places a limit on the questions you possibly can ask about its own services, but here we’re.)

The premium version of Q Developer, Q Developer Pro costs $19 per thirty days per user and provides higher usage limits, user and policy management tools, single sign-on, and – perhaps most significantly – mental property guarantee.

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Amazon Q Developer

Image credits: Amazon

In many cases, the models underlying code generation services akin to Q Developer are trained on copyrighted or restrictively licensed code. Vendors say fair use protects them when models have been consciously or unconsciously developed using copyrighted code – but not everyone agrees. GitHub and OpenAI are there defendant In class movement which accuses them of copyright infringement by allowing Copilot to return licensed code snippets without attribution.

Amazon says it’ll defend Q Developer Pro customers against claims that the service infringes a 3rd party’s mental property rights so long as they permit AWS to regulate its defense and resolve “as AWS deems appropriate.”

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This article was originally published on : techcrunch.com

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Students of young, talented and black yale collect $ 3 million on a new application

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Nathaneo Johnson and Sean Hargrow, juniors from Yale University, collected $ 3 million in only 14 days to finance their startup, series, social application powered by AI, designed to support significant connections and challenge platforms, similar to LinkedIn and Instagram.

A duo that’s a co -host of the podcast A series of foundersHe created the application after recognizing the gap in the way in which digital platforms help people connect. SEries focuses moderately on facilitating authentic introductions than gathering likes, observing or involvement indicators.

“Social media is great for broadcasting, but it does not necessarily help you meet the right people at the right time,” said Johnson in an interview with Entrepreneur warehouse.

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The series connects users through AI “friends” who communicate via IMessage and help to introduce. Users introduce specific needs-are on the lookout for co-founders, mentors, colleagues or investors-AI makes it easier to introduce based on mutual value. The concept attracts comparisons to LinkedIn, but with more personal experience.

“You publish photos on Instagram, publish movies on Tiktok and publish work posts on LinkedIn … And that’s where you have this microinfluuncer band,” Johnson added.

The application goals to avoid the superficial character of typical social platforms. Hargrow emphasized that although aesthetics often dominates on Instagram and the content virus drives tabktok, Number It is intentional, deliberate contacts.

“We are not trying to replace relationships in the real world-we are going to make it easier for people to find the right relationships,” said Hargrow.

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Parable projects carried out before the seeded (*3*)Funding roundwhich included participation with Pear VC, DGB, VC, forty seventh Street, Radicle Impact, UNCASMON Projects and several famous Angels Investors, including the General Director of Reddit Steve Huffman and the founder of GPTZERO Edward Tian. Johnson called one meeting of investors “dinner for a million dollars”, reflecting how their pitch resonated with early supporters.

Although not the principal corporations, Johnson and Hargrow based pre-coreneuring through their podcast, through which they interviews the founders and leaders of C-Suite about less known elements of constructing the company-as accounting, business law and team formation.

Since the beginning of the series, over 32,000 messages between “friends” have been mentioned within the test phases. The initial goal of the application is the entrepreneurs market. Despite this, the founders hope to develop in finance, dating, education and health – ultimately striving to construct probably the most available warm network on the earth.

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(Tagstranslate) VC (T) Yale (T) Venture Capital (T) Technology (T) APP

This article was originally published on : www.blackenterprise.com
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Tesla used cars offers rapidly increased in March

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Tesla cars sit in a dealership lot

The growing variety of Tesla owners puts their used vehicles on the market, because consumers react to the political activities of Elon Musk and the worldwide protests they were driven.

In March, the variety of used Tesla vehicles listed on the market at autotrader.com increased rapidly, Sherwood News announcedCiting data from the house company Autotrader Cox Automotive. The numbers were particularly high in the last week of March, when on average over 13,000 used Teslas was replaced. It was not only a record – a rise of 67% in comparison with the identical week of the yr earlier.

At the identical time, the sale of latest Tesla vehicles slowed down even when EV sales from other brands increases. In the primary quarter of 2025, almost 300,000 latest EVs were sold in the USA According to the most recent Kelley Blue Book reporta rise of 10.6% yr on yr. Meanwhile, Tesla sales fell in the primary quarter, which is nearly 9% in comparison with the identical period in 2024.

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Automaks resembling GM and Hyundai are still behind Tesla. But they see growth growth. For example, GM brands sold over 30,000 EV in the primary quarter, almost double the amount of a yr ago, in line with Kelley Blue Book.

(Tagstranslat) electric vehicles

This article was originally published on : techcrunch.com
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Ilya Sutskever uses Google Cloud to supply AI Startup tests

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Co -founder and former scientist of Opeli and former primary scientist ILYA SUTSKEVER, SAFE SUPERINTELELENCE (SSI), uses the Google Cloud TPU systems to supply their AI research, partly latest partnership that corporations announced on Wednesday press release.

Google Cloud claims that the SSI uses TPU to “accelerate its research and development to build safe, overintelical artificial intelligence.”

Cloud suppliers chase a handful of AI Unicorn startups, which spend tons of of hundreds of thousands of dollars annually on computing power supply for training AI Foundation models. The SSI agreement with Google Cloud suggests that the primary will spend a big a part of its computing budget with Google Cloud; The well -known source says TechCrunch that Google Cloud is the primary supplier of SSI calculations.

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Google Cloud has the history of striking computing agreements with former AI researchers, a lot of which now lead billions of dollars of AI start-ups. (Sutskever once worked on Google.) In October Google Cloud said that he can be the primary supplier of computers for World Labs, founded by the previous scientist Ai Ex-Google Cloud Ai Fei-Feii Li.

It is just not clear whether the SSI has hit the partnership with other cloud or computers suppliers. Google Cloud spokesman refused to comment. A spokesman for a secure superintelligence didn’t immediately answer to the request for comment.

SSI got here out of Stealth in June 2024, months after Sutskever left his role because the primary scientist Opeli. The company has $ 1 billion in support from Andreessen Horowitz, Sequoia Capital, DST Global, SV Angel and others.

Since the premiere of the SSI, we’ve got heard relatively little about startup activities. On his websiteSSI says that the event of secure, super -intellectual AI systems is “our mission, our name and our entire product map, because this is our only goal.” SUTSKEVER He said earlier that he identified the “new mountain to climb” and is investigating latest ways to improve the performance of AI Frontier models.

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Before the co -founder of Opeli, Sutskever spent several years on Google Brain examining neural networks. After years of conducting work of security, AI Openai Sutskever played a key role within the overthrow of the overall director of OPENNAI Altman in November 2023. Sutskever later joined the worker’s movement to restore Altman as CEO.

After the Sutskever trial, he was supposedly not seen in Openai offices for months and eventually left the startup to start SSI.

(Tagstransate) ilya SUTSKEVER (T) SSI

This article was originally published on : techcrunch.com
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