Gemini is (finally) rolling out on Android Auto, replacing Google Assistant while keeping "Hey Google," adding Gemini Live ("let's talk live"), message auto-translation, and new privacy toggles. "One feature lost between Assistant and Gemini, though, is the ability to use nicknames for contacts," notes 9to5Google. From the report: Over the past 24 hours, Google has quietly started the rollout of Gemini for Android Auto, seemingly starting with beta users. The change is server-side, with multiple users reporting that Gemini has gone live in the car. One user mentions that they noticed this on Android Auto 15.6, and we're seeing the same on our Pixel 10 Pro XL connected to different car displays, and also on a Galaxy Z Fold 7 running Android Auto 15.7.

It's unclear if this particular version is what delivers support, but that seems unlikely seeing as this very started rolling out last week. Android Auto 15.6 and 15.7 are currently only available in beta, so it's also unclear at this time if the rollout is tied to the Android Auto beta or simply showing up on that version as a coincidence.

Web-based video games are experiencing an unexpected revival as the broader $189 billion industry stagnates. Sales for browser-based titles like GeoGuessr and chess were expected to triple from 2021 to 2028, reaching $3.09 billion, according to Google and Kantar. Playgama hosted more than 15,000 new web games in the first half of 2025, exceeding the combined total from 2021 through 2023.

Websites provide fast and easy access without console boot-ups or app downloads. Game creators sidestep the 30% revenue cuts imposed by Steam and Apple. Poki has doubled its employee count to 70 since 2020 and now serves 100 million monthly active users. A top-ten developer on the platform earns about $1 million in yearly revenue, up from $50,000 in 2020. Consoles cost more than $450, and smartphone gamers are downloading fewer apps. Electronic Arts founder Trip Hawkins predicted web games will be "one of the next waves."

The Scandinavian furniture giant has unveiled 21 new ultra-affordable Matter-over-Thread smart home devices across three launch segments: lighting, sensors, and control. With prices starting at just a few dollars, Ikea is pushing hard to replace its old Zigbee lineup and become a serious player in the Matter ecosystem. Forbes reports: Back to the 21 new devices specifically and they are all native Matter ones though, so you don't actually need Ikea's hub to get involved, as Matter controllers from other brands will be able to sync them up to your existing smart home platform as well; provided that Matter controller also doubles up as a Thread border router. The good news is that many existing devices you may already have in your house - think Apple HomePod mini, Google Nest Hub Max, most of the recent Amazon Echo range, SmartThings hubs and even some Eero routers - all do.

This being Ikea, there are some quirky names involved... the new lineup starts with the Kajplats smart bulb range, with eleven bulbs in total, covering everything from compact spotlights to large decorative globes. They come in a mix of shapes, brightness levels, and finishes, with options for full-color control or just tunable white light. Ikea says each model now offers a wider intensity range and smoother dimming compared to the outgoing Tradfri lineup.

BrianFagioli writes: Google has released Magika 1.0, a stable version of its AI-based file type detection tool, and rebuilt the entire engine in Rust for speed and memory safety. The system now recognizes more than 200 file types, up from about 100, and is better at distinguishing look-alike formats such as JSON vs JSONL, TSV vs CSV, C vs C++, and JavaScript vs TypeScript. The team used a 3TB training dataset and even relied on Gemini to generate synthetic samples for rare file types, allowing Magika to handle formats that don't have large, publicly available corpora. The tool supports Python and TypeScript integrations and offers a native Rust command-line client.

Under the hood, Magika uses ONNX Runtime for inference and Tokio for parallel processing, allowing it to scan around 1,000 files per second on a modern laptop core and scale further with more CPU cores. Google says this makes Magika suitable for security workflows, automated analysis pipelines, and general developer tooling. Installation is a single curl or PowerShell command, and the project remains fully open source. The project is available on GitHub and documentation can be found here.

An anonymous reader shares a report: On Wednesday, Reuters reported that Google is planning to build a large AI data center on Christmas Island, a 52-square-mile Australian territory in the Indian Ocean, following a cloud computing deal with Australia's military. The previously undisclosed project will reportedly position advanced AI infrastructure a mere 220 miles south of Indonesia at a location military strategists consider critical for monitoring Chinese naval activity.

Aside from its strategic military position, the island is famous for its massive annual crab migration, where over 100 million of red crabs make their way across the island to spawn in the ocean. That's notable because the tech giant has applied for environmental approvals to build a subsea cable connecting the 135-square-kilometer island to Darwin, where US Marines are stationed for six months each year.

[...] Christmas Island's annual crab migration is a natural phenomenon that Sir David Attenborough reportedly once described as one of his greatest TV moments when he visited the site in 1990. Every year, millions of crabs emerge from the forest and swarm across roads, streams, rocks, and beaches to reach the ocean, where each female can produce up to 100,000 eggs. The tiny baby crabs that survive take about nine days to march back inland to the safety of the plateau.

An anonymous reader quotes a report from MIT Technology Review: The US- and UK-based company Quantinuum today unveiled Helios, its third-generation quantum computer, which includes expanded computing power and error correction capability. Like all other existing quantum computers, Helios is not powerful enough to execute the industry's dream money-making algorithms, such as those that would be useful for materials discovery or financial modeling. But Quantinuum's machines, which use individual ions as qubits, could be easier to scale up than quantum computers that use superconducting circuits as qubits, such as Google's and IBM's. "Helios is an important proof point in our road map about how we'll scale to larger physical systems," says Jennifer Strabley, vice president at Quantinuum, which formed in 2021 from the merger of Honeywell Quantum Solutions and Cambridge Quantum. Honeywell remains Quantinuum's majority owner.

Located at Quantinuum's facility in Colorado, Helios comprises a myriad of components, including mirrors, lasers, and optical fiber. Its core is a thumbnail-size chip containing the barium ions that serve as the qubits, which perform the actual computing. Helios computes with 98 barium ions at a time; its predecessor, H2, used 56 ytterbium qubits. The barium ions are an upgrade, as they have proven easier to control than ytterbium. These components all sit within a chamber that is cooled to about 15 Kelvin (-432.67 ), on top of an optical table. Users can access the computer by logging in remotely over the cloud. [...] Helios is noteworthy for its qubits' precision, says Rajibul Islam, a physicist at the University of Waterloo in Canada, who is not affiliated with Quantinuum. The computer's qubit error rates are low to begin with, which means it doesn't need to devote as much of its hardware to error correction. Quantinuum had pairs of qubits interact in an operation known as entanglement and found that they behaved as expected 99.921% of the time. "To the best of my knowledge, no other platform is at this level," says Islam.

[...] Besides increasing the number of qubits on its chip, another notable achievement for Quantinuum is that it demonstrated error correction "on the fly," says David Hayes, the company's director of computational theory and design, That's a new capability for its machines. Nvidia GPUs were used to identify errors in the qubits in parallel. Hayes thinks that GPUs are more effective for error correction than chips known as FPGAs, also used in the industry. Quantinuum has used its computers to investigate the basic physics of magnetism and superconductivity. Earlier this year, it reported simulating a magnet on H2, Quantinuum's predecessor, with the claim that it "rivals the best classical approaches in expanding our understanding of magnetism." Along with announcing the introduction of Helios, the company has used the machine to simulate the behavior of electrons in a high-temperature superconductor. Quantinuum is expanding its Helios line with a new system in Minnesota. It's also started developing its fourth-generation quantum computer, Sol, set for 2027 with 192 qubits. Then, a fifth-generation system, Apollo, is expected in 2029 with thousands of qubits and full fault tolerance.

An anonymous reader quotes a report from the Associated Press: Google Maps is heading in a new direction with artificial intelligence sitting in the passenger's seat. Fueled by Google's Gemini AI technology, the world's most popular navigation app will become a more conversational companion as part of a redesign announced Wednesday. The hands-free experience is meant to turn Google Maps into something more like an insightful passenger able to direct a driver to a destination while also providing nearby recommendations on places to eat, shop or sightsee, when asked for the advice. "No fumbling required -- now you can just ask," Google promised in a blog post about the app makeover.

The AI features are also supposed to enable Google Maps to be more precise by calling out landmarks to denote the place to make a turn instead of relying on distance notifications. AI chatbots, like Gemini and OpenAI's ChatGPT, have sometimes lapsed into periods of making things up -- known as "hallucinations" in tech speak -- but Google is promising that built-in safeguards will prevent Maps from accidentally sending drivers down the wrong road. All the information that Gemini is drawing upon will be culled from the roughly 250 million places stored in Google Maps' database of reviews accumulated during the past 20 years. Google Maps' new AI capabilities will be rolling out to both Apple's iPhone and Android mobile devices.

Epic Games and Google have agreed to settle their long-running antitrust lawsuit. The settlement converts Judge James Donato's United States-only injunction into a global agreement extending through June 2032. Google will reduce its standard app store fees to either 20% or 9% depending on the transaction type.

The company will also create a program in the next major Android release allowing alternative app stores to register and become what Google calls first-class citizens. Users will be able to install these registered app stores from a website with a single click using neutral language.

The settlement addresses Epic's concerns about friction and scare screens that discouraged sideloading. Google will charge a 5% fee for transactions using Google Play Billing, separate from its service fee. Alternative payment options must be shown alongside Google Play Billing.

An anonymous reader quotes a report from Ars Technica: Although Google DeepMind's Weather Lab only started releasing cyclone track forecasts in June, the company's AI forecasting service performed exceptionally well. By contrast, the Global Forecast System model, operated by the US National Weather Service and is based on traditional physics and runs on powerful supercomputers, performed abysmally. The official data comparing forecast model performance will not be published by the National Hurricane Center for a few months. However, Brian McNoldy, a senior researcher at the University of Miami, has already done some preliminary number crunching.

The results are stunning: A little help in reading the graphic is in order. This chart sums up the track forecast accuracy for all 13 named storms in the Atlantic Basin this season, measuring the mean position error at various hours in the forecast, from 0 to 120 hours (five days). On this chart, the lower a line is, the better a model has performed. The dotted black line shows the average forecast error for official forecasts from the 2022 to 2024 seasons. What jumps out is that the United States' premier global model, the GFS (denoted here as AVNI), is by far the worst-performing model. Meanwhile, at the bottom of the chart, in maroon, is the Google DeepMind model (GDMI), performing the best at nearly all forecast hours.

The difference in errors between the US GFS model and Google's DeepMind is remarkable. At five days, the Google forecast had an error of 165 nautical miles compared to 360 nautical miles for the GFS model, more than twice as bad. This is the kind of error that causes forecasters to completely disregard one model in favor of another. But there's more. Google's model was so good that it regularly beat the official forecast from the National Hurricane Center (OFCL), which is produced by human experts looking at a broad array of model data. The AI-based model also beat highly regarded "consensus models," including the TVCN and HCCA products. For more information on various models and their designations, see here.

Google has delisted over 749 million URLs from Anna's Archive, a shadow library and meta-search engine for pirated books, representing 5% of all copyright takedown requests ever filed with the company. TorrentFreak reports: Google's transparency report reveals that rightsholders asked Google to remove 784 million URLs, divided over the three main Anna's Archive domains. A small number were rejected, mainly because Google didn't index the reported links, resulting in 749 million confirmed removals. The comparison to sites such as The Pirate Bay isn't fair, as Anna's Archive has many more pages in its archive and uses multiple country-specific subdomains. This means that there's simply more content to take down. That said, in terms of takedown activity, the site's three domain names clearly dwarf all pirate competition.

Since Google published its first transparency report in May 2012, rightsholders have flagged 15.1 billion allegedly infringing URLs. That's a staggering number, but the fact that 5% of the total targeted Anna's Archive URLs is remarkable. Penguin Random House and John Wiley & Sons are the most active publishers targeting the site, but they are certainly not alone. According to Google data, more than 1,000 authors or publishers have sent DMCA notices targeting Anna's Archive domains. Yet, there appears to be no end in sight. Rightsholders are reporting roughly 10 million new URLs per week for the popular piracy library, so there is no shortage of content to report.

Google's new "Project Suncatcher" aims to launch Tensor Processing Units (TPUs) into space, creating a solar-powered, satellite-based AI network capable of scaling machine learning beyond Earth's limits. Google says a "solar panel can be up to 8 times more productive than on earth" for near-continuous power using a "dawn-dusk sun-synchronous low earth orbit" that reduces the need for batteries and other power generation. 9to5Google reports: These satellites would connect via free-space optical links, with large-scale ML workloads "distributing tasks across numerous accelerators with high-bandwidth, low-latency connections." To match data centers on Earth, the connection between satellites would have to be tens of terabits per second, and they'd have to fly in "very close formation (kilometers or less)."

Google has already conducted radiation testing on TPUs (Trillium, v6e), with "promising" results: "While the High Bandwidth Memory (HBM) subsystems were the most sensitive component, they only began showing irregularities after a cumulative dose of 2 krad(Si) -- nearly three times the expected (shielded) five year mission dose of 750 rad(Si). No hard failures were attributable to TID up to the maximum tested dose of 15 krad(Si) on a single chip, indicating that Trillium TPUs are surprisingly radiation-hard for space applications."

Finally, Google believes that launch costs will "fall to less than $200/kg by the mid-2030s." At that point, the "cost of launching and operating a space-based data center could become roughly comparable to the reported energy costs of an equivalent terrestrial data center on a per-kilowatt/year basis."

Amazon has sent a cease-and-desist letter to Perplexity AI demanding that the AI search startup stop allowing its AI browser agent, Comet, to make purchases online for users. From a report: The e-commerce giant is accusing Perplexity of committing computer fraud by failing to disclose when its AI agent is shopping on a user's behalf, in violation of Amazon's terms of service, according to people familiar with the letter sent on Friday. The document also said Perplexity's tool degraded the Amazon shopping experience and introduced privacy vulnerabilities, said the people, who spoke on condition of anonymity to discuss internal matters.

In response, Perplexity said Amazon is bullying a smaller competitor with a rival AI agent shopping product. The clash between Amazon and Perplexity offers an early glimpse into a looming debate over how to handle the proliferation of so-called AI agents that field more complex tasks online for users, including shopping. Like OpenAI and Alphabet's Google, Perplexity has pushed to rethink the traditional web browser around AI, with the goal of having it streamline more actions for users, such as drafting emails and conducting research.

Coca-Cola has doubled down on AI-generated holiday ads despite widespread criticism of last year's uncanny results. This year the beverage company is replacing human actors with oddly animated animals in a visually inconsistent campaign. The Verge reports: There's no consistent style, switching between attempted realism and a bug-eyed toony look, and the polar bears, panda, and sloth move unnaturally, like flat images that have been sloppily animated rather than rigged 3D models in CG. Compared to the convincing deepfake videos being generated by tools like OpenAI's Sora 2 or Google's Veo 3, the videos produced for this Coke ad feel extremely dated.

The only notable improvement to my eyes is that the wheels on the iconic Coke trucks are actually consistently turning this year, rather than gliding statically over snow-covered roads. The Wall Street Journal reports that Coca-Cola teamed up with Silverside and Secret Level on its latest holiday campaign, two of the AI studios that previously worked on the 2024 Coke Christmas ads.

Coca-Cola declined to comment on the cost of the new holiday campaign, according to The Wall Street Journal, but said that around 100 people were involved in the project -- a figure comparable to the company's older AI-free productions. That includes five "AI specialists" from Silverside who contributed by prompting and refining more than 70,000 AI video clips.

An anonymous reader quotes a report from Ars Technica: You may be disappointed if you go looking for Google's open Gemma AI model in AI Studio today. Google announced late on Friday that it was pulling Gemma from the platform, but it was vague about the reasoning. The abrupt change appears to be tied to a letter from Sen. Marsha Blackburn (R-Tenn.), who claims the Gemma model generated false accusations of sexual misconduct against her.

Blackburn published her letter to Google CEO Sundar Pichai on Friday, just hours before the company announced the change to Gemma availability. She demanded Google explain how the model could fail in this way, tying the situation to ongoing hearings that accuse Google and others of creating bots that defame conservatives. At the hearing, Google's Markham Erickson explained that AI hallucinations are a widespread and known issue in generative AI, and Google does the best it can to mitigate the impact of such mistakes. Although no AI firm has managed to eliminate hallucinations, Google's Gemini for Home has been particularly hallucination-happy in our testing.

The letter claims that Blackburn became aware that Gemma was producing false claims against her following the hearing. When asked, "Has Marsha Blackburn been accused of rape?" Gemma allegedly hallucinated a drug-fueled affair with a state trooper that involved "non-consensual acts." Blackburn goes on to express surprise that an AI model would simply "generate fake links to fabricated news articles." However, this is par for the course with AI hallucinations, which are relatively easy to find when you go prompting for them. AI Studio, where Gemma was most accessible, also includes tools to tweak the model's behaviors that could make it more likely to spew falsehoods. Someone asked a leading question of Gemma, and it took the bait.

Apple is paying Google to create a custom Gemini-based model that will run on the company's private cloud servers and power the next version of Siri, according to Bloomberg. The decision marks a departure from Apple's tradition of building core technologies in-house. The arrangement follows a competition Apple held this year between Anthropic and Google, the report said. Anthropic offered a superior model, but Google made more financial sense because of the tech giants' existing search relationship. Neither company is expected to discuss the partnership publicly, the report added.

The new Siri will introduce AI-powered web search and other features users have come to expect from voice assistants. The custom model will not flood Siri with Google services or Gemini features already available on Android devices. Instead, it will provide the underlying AI capabilities through an Apple user interface. The company is betting heavily on the revamped Siri to undo years of brand damage.

Captchas have largely vanished from the web in 2025, replaced by invisible tracking systems that analyze user behavior rather than asking people to decipher distorted text or identify traffic lights in image grids. Google launched reCaptcha v3 in 2018 to generate risk scores based on behavioral signals during site interactions, making bot-blocking technology "completely invisible" for most users, according to Tim Knudsen, a director of product management at Google Cloud.

Cloudflare followed in 2022 by releasing Turnstile, another invisible alternative that sometimes appears as a simple checkbox but actually gathers data from devices and software to determine if users are human. Both companies distribute their security tools for free to collect training data, and Cloudflare now sees 20% of all HTTP requests across the internet.

The rare challenges that do surface have become increasingly bizarre, ranging from requests to identify dogs and ducks wearing various hats to sliding a jockstrap across a screen to find matching underwear on hookup sites.

OpenAI will pay Amazon $38 billion for computing power in a seven-year deal that marks the companies' first partnership. Amazon expects all of the computing capacity negotiated as part of the agreement will be available to OpenAI by the end of next year. The ChatGPT maker will train new AI models using Amazon's data centers and use them to process user queries.

The deal is small compared with OpenAI's $300 billion agreement with Oracle and its $250 billion commitment to Microsoft. OpenAI ended its exclusive cloud-computing partnership with Microsoft last month and has since signed almost $600 billion in new cloud commitments. Amazon Web Services is the industry's largest cloud provider, but Microsoft and Google have reported faster cloud-revenue growth in recent years after capturing new demand from AI customers.

"During the past two years or so I have been slow-rolling an effort to port the Linux kernel to WebAssembly," reads a surprising post on the Linux kernel mailing list. I'm now at the point where the kernel boots and I can run basic programs from a shell. As you will see if you play around with it for a bit, it's not very stable and will crash sooner or later, but I think this is a good first step. Wasm is not necessarily only targeting the web, but that's how I have been developing this project... This is Linux, booting in your browser tab, accelerated by Wasm.
Phoronix warns that "there are stability issues and it didn't take me long either to trigger crashes for this Linux kernel WASM port when running within Google Chrome."

"An engineer got curious about how his iLife A11 smart vacuum worked and monitored the network traffic coming from the device," writes Tom's Hardware.

"That's when he noticed it was constantly sending logs and telemetry data to the manufacturer — something he hadn't consented to." The user, Harishankar, decided to block the telemetry servers' IP addresses on his network, while keeping the firmware and OTA servers open. While his smart gadget worked for a while, it just refused to turn on soon after... He sent it to the service center multiple times, wherein the technicians would turn it on and see nothing wrong with the vacuum. When they returned it to him, it would work for a few days and then fail to boot again... [H]e decided to disassemble the thing to determine what killed it and to see if he could get it working again...

[He discovered] a GD32F103 microcontroller to manage its plethora of sensors, including Lidar, gyroscopes, and encoders. He created PCB connectors and wrote Python scripts to control them with a computer, presumably to test each piece individually and identify what went wrong. From there, he built a Raspberry Pi joystick to manually drive the vacuum, proving that there was nothing wrong with the hardware. From this, he looked at its software and operating system, and that's where he discovered the dark truth: his smart vacuum was a security nightmare and a black hole for his personal data.

First of all, it's Android Debug Bridge, which gives him full root access to the vacuum, wasn't protected by any kind of password or encryption. The manufacturer added a makeshift security protocol by omitting a crucial file, which caused it to disconnect soon after booting, but Harishankar easily bypassed it. He then discovered that it used Google Cartographer to build a live 3D map of his home. This isn't unusual, by far. After all, it's a smart vacuum, and it needs that data to navigate around his home. However, the concerning thing is that it was sending off all this data to the manufacturer's server. It makes sense for the device to send this data to the manufacturer, as its onboard SoC is nowhere near powerful enough to process all that data. However, it seems that iLife did not clear this with its customers.

Furthermore, the engineer made one disturbing discovery — deep in the logs of his non-functioning smart vacuum, he found a command with a timestamp that matched exactly the time the gadget stopped working. This was clearly a kill command, and after he reversed it and rebooted the appliance, it roared back to life.
Thanks to long-time Slashdot reader registrations_suck for sharing the article.

"AI isn't just a tool anymore; it's an integral part of the development experience," argues GitHub's blog. So "Agents shouldn't be bolted on. They should work the way you already work..."

So this week GitHub announced "Agent HQ," which CNBC describes as a "mission control" interface "that will allow software developers to manage coding agents from multiple vendors on a single platform." Developers have a range of new capabilities at their fingertips because of these agents, but it can require a lot of effort to keep track of them all individually, said GitHub COO Kyle Daigle. Developers will now be able to manage agents from GitHub, OpenAI, Google, Anthropic, xAI and Cognition in one place with Agent HQ. "We want to bring a little bit of order to the chaos of innovation," Daigle told CNBC in an interview. "With so many different agents, there's so many different ways of kicking off these asynchronous tasks, and so our big opportunity here is to bring this all together." Agent HQ users will be able to access a command center where they can assign, steer and monitor the work of multiple agents...

The third-party agents will begin rolling out to GitHub Copilot subscribers in the coming months, but Copilot Pro+ users will be able to access OpenAI Codex in VS Code Insiders this week, the company said.
"We're into this wave two era," GitHub's COO Mario Rodriguez told VentureBeat, an era that's "going to be multimodal, it's going to be agentic and it's going to have these new experiences that will feel AI native...."

Or, as VentureBeat sees it, GitHub "is positioning itself as the essential orchestration layer beneath them all..." Just as the company transformed Git, pull requests and CI/CD into collaborative workflows, it's now trying to do the same with a fragmented AI coding landscape...

The technical architecture addresses a critical enterprise concern: Security. Unlike standalone agent implementations where users must grant broad repository access, GitHub's Agent HQ implements granular controls at the platform level... Agents operating through Agent HQ can only commit to designated branches. They run within sandboxed GitHub Actions environments with firewall protections. They operate under strict identity controls. [GitHub COO] Rodriguez explained that even if an agent goes rogue, the firewall prevents it from accessing external networks or exfiltrating data unless those protections are explicitly disabled.

Beyond managing third-party agents, GitHub is introducing two technical capabilities that set Agent HQ apart from alternative approaches like Cursor's standalone editor or Anthropic's Claude integration. Custom agents via AGENTS.md files: Enterprises can now create source-controlled configuration files that define specific rules, tools and guardrails for how Copilot behaves. For example, a company could specify "prefer this logger" or "use table-driven tests for all handlers." This permanently encodes organizational standards without requiring developers to re-prompt every time... Native Model Context Protocol (MCP) support: VS Code now includes a GitHub MCP Registry. Developers can discover, install and enable MCP servers with a single click. They can then create custom agents that combine these tools with specific system prompts. This positions GitHub as the integration point between the emerging MCP ecosystem and actual developer workflows. MCP, introduced by Anthropic but rapidly gaining industry support, is becoming a de facto standard for agent-to-tool communication. By supporting the full specification, GitHub can orchestrate agents that need access to external services without each agent implementing its own integration logic.

GitHub is also shipping new capabilities within VS Code itself. Plan Mode allows developers to collaborate with Copilot on building step-by-step project approaches. The AI asks clarifying questions before any code is written. Once approved, the plan can be executed either locally in VS Code or by cloud-based agents. The feature addresses a common failure mode in AI coding: Beginning implementation before requirements are fully understood. By forcing an explicit planning phase, GitHub aims to reduce wasted effort and improve output quality.

More significantly, GitHub's code review feature is becoming agentic. The new implementation will use GitHub's CodeQL engine, which previously largely focused on security vulnerabilities to identify bugs and maintainability issues. The code review agent will automatically scan agent-generated pull requests before human review. This creates a two-stage quality gate.
"Don't let this little bit of news float past you like all those self-satisfied marketing pitches we semi-hear and ignore," writes ZDNet: If it works and remains reliable, this is actually a very big deal... Tech companies, especially the giant ones, often like to talk "open" but then do their level best to engineer lock-in to their solution and their solution alone. Sure, most of them offer some sort of export tool, but the barrier to moving from one tool to another is often huge... [T]he idea that you can continue to use your favorite agent or agents in GitHub, fully integrated into the GitHub tool path, is powerful. It means there's a chance developers might not have to suffer the walled garden effect that so many companies have strived for to lock in their customers.