Tech
Xcode moves into agentic coding with deeper OpenAI and Anthropic integrations
Apple is bringing agentic coding to Xcode. On Tuesday, the company announced the release of Xcode 26.3, which will allow developers to use agentic tools, including Anthropic’s Claude Agent and OpenAI’s Codex, directly in Apple’s official app development suite.
The Xcode 26.3 Release Candidate is available to all Apple Developers today from the developer website and will hit the App Store a bit later.
This latest update comes on the heels of the Xcode 26 release last year, which introduced support for ChatGPT and Claude within Apple’s integrated development environment (IDE) used by those building apps for iPhone, iPad, Mac, Apple Watch, and Apple’s other hardware platforms.
The integration of agentic coding tools allows AI models to tap into more of Xcode’s features to perform their tasks and perform more complex automation.
The models will also have access to Apple’s current developer documentation to ensure they use the latest APIs and follow the best practices as they build.
At launch, the agents can help developers explore their project, understand its structure and metadata, then build the project and run tests to see if there are any errors and fix them, if so.

To prepare for this launch, Apple said it worked closely with both Anthropic and OpenAI to design the new experience. Specifically, the company said it did a lot of work to optimize token usage and tool calling, so the agents would run efficiently in Xcode.
Xcode leverages MCP (Model Context Protocol) to expose its capabilities to the agents and connect them with its tools. That means that Xcode can now work with any outside MCP-compatible agent for things like project discovery, changes, file management, previews and snippets, and accessing the latest documentation.
Developers who want to try the agentic coding feature should first download the agents they want to use from Xcode’s settings. They can also connect their accounts with the AI providers by signing in or adding their API key. A drop-down menu within the app allows developers to choose which version of the model they want to use (e.g. GPT-5.2-Codex vs. GPT-5.1 mini).
In a prompt box on the left side of the screen, developers can tell the agent what sort of project they want to build or change to the code they want to make using natural language commands. For instance, they could direct Xcode to add a feature to their app that uses one of Apple’s provided frameworks, and how it should appear and function.

As the agent starts working, it breaks down tasks into smaller steps, so it’s easy to see what’s happening and how the code is changing. It will also look for the documentation it needs before it begins coding. The changes are highlighted visually within the code, and the project transcript on the side of the screen allows developers to learn what’s happening under the hood.
This transparency could particularly help new developers who are learning to code, Apple believes. To that end, the company is hosting a “code-along” workshop on Thursday on its developer site, where users can watch and learn how to use agentic coding tools as they code along in real time with their own copy of Xcode.
At the end of its process, the AI agent verifies that the code it created works as expected. Armed with the results of its tests on this front, the agent can iterate further on the project if need be to fix errors or other problems. (Apple noted that asking the agent to think through its plans before writing code can sometimes help to improve the process, as it forces the agent to do some pre-planning.)
Plus, if developers are not happy with the results, they can easily revert their code back to its original at any point in time, as Xcode creates milestones every time the agent makes a change.
Tech
Are AI tokens the new signing bonus or just a cost of doing business?
This week, a topic that has been boomeranging around Silicon Valley bounced into the spotlight: AI tokens as compensation. The idea is straightforward enough — rather than giving engineers only salary, equity, and bonuses, companies would also hand them a budget of AI tokens, the computational units that power tools like Claude, ChatGPT, and Gemini. Spend them to run agents, automate tasks, crank through code. The pitch is that access to more compute makes engineers more productive, and that more productive engineers are worth more. It’s an investment in the person holding them, is the idea.
Jensen Huang, the leather-jacket-wearing CEO of Nvidia, seemed to capture everyone’s imagination when he floated the notion at the company’s annual GTC event earlier this week that engineers should receive roughly half their base salary again — in tokens. His top people, by his math, might burn through $250,000 a year in AI compute. He called it a recruiting tool and predicted it would become standard across Silicon Valley.
It isn’t entirely clear where the idea was first, well, ideated. Tomasz Tunguz, a renowned VC in the Bay Area who runs Theory Ventures and focuses on AI, data, and SaaS startups — and whose writing on all things data has garnered a loyal following over the years — was talking about this in mid-February, writing that tech startups were already adding inference costs as a “fourth component to engineering compensation.” Using data from the compensation tracking site Levels.fyi, he put a top-quartile software engineer salary at $375,000. Add $100,000 in tokens and you’re at $475,000 fully loaded — meaning roughly one dollar in five is now compute.
That’s no coincidence. Agentic AI has been taking off, and the release of OpenClaw in late January accelerated the conversation considerably. OpenClaw is an open-source AI assistant designed to run continuously — churning through tasks, spawning sub-agents, and working through a to-do list while its user sleeps. It’s part of a broader shift toward “agentic” AI, meaning systems that don’t just respond to prompts but take sequences of actions autonomously over time.
The practical consequence is that token consumption has exploded. Where someone writing an essay might use 10,000 tokens in an afternoon, an engineer running a swarm of agents can blow through millions in a day — automatically, in the background, without typing a word.
By this weekend, the New York Times had put together a smart look at the so-called tokenmaxxing trend, finding that engineers at companies including Meta and OpenAI are competing on internal leaderboards that track token consumption. Generous token budgets are quietly becoming a standard job perk, the paper reported, the way dental insurance or free lunch once was. One Ericsson engineer in Stockholm told the Times he probably spends more on Claude than he earns in salary, though his employer picks up the tab.
Maybe tokens really will become the fourth pillar of engineering compensation. But engineers might want to hold the line before embracing this as a straightforward win. More tokens may mean more power in the short term, but given how fast things are evolving, it doesn’t necessarily mean more job security. For one thing, a large token allotment comes with large expectations. If a company is effectively funding a second engineer’s worth of compute on your behalf, the implicit pressure is to produce at twice the rate (or more).
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And there’s a muddier problem underneath that: at the point where a company’s token spend per employee approaches or exceeds that employee’s salary, the financial logic of headcount starts to look different to its finance team. If the compute is doing the work, the question of how many humans need to be coordinating it becomes harder to avoid.
Jamaal Glenn, an East Coast-based Stanford MBA and former VC turned financial services CFO, similarly points out that what may seem like a perk can be a clever way for companies to inflate the apparent value of a compensation package without increasing cash or equity — the things that actually compound for an employee over time. Your token budget doesn’t vest. It doesn’t appreciate. It doesn’t show up in your next offer negotiation the way a base salary or equity grant does. If companies successfully normalize tokens as pay, they may find it easier to keep cash comp flat while pointing to a growing compute allowance as evidence of investment in their people.
That’s a good deal for the company. Whether it’s a good deal for the engineer depends on questions most engineers don’t yet have enough information to answer.
Tech
Amazon working on new smartphone with Alexa at its core, report says
Looks like Amazon’s getting back into the smartphone game. More than 11 years after the e-commerce giant pulled the plug on its failed first effort, the Fire Phone, the company is now developing a new smartphone codenamed “Transformer,” Reuters reported, citing anonymous sources.
The device is being developed by the company’s Devices and Services division, and it would feature personalized features that would make it easier to use Amazon’s suite of apps, including Amazon Shopping, Prime Video, and Prime Music, the report said.
The smartphone would also support Alexa, the smart home assistant that Amazon has been investing heavily in, adding AI chops and expanding support to work with most of the company’s devices. AI features are said to be a big focus for the smartphone, which is being seen internally as a way to encourage Amazon customers to use its AI products, Reuters reported.
The smartphone is said to be developed by a relatively new unit within the Devices division called ZeroOne, which is led by J Allard, a former Microsoft executive who helped create the Xbox.
The news comes as Amazon has been going all-in on AI, investing $50 billion into OpenAI recently, and projecting $200 billion in capital expenditures toward its AI, chips, and robotics efforts in 2026.
The company spent more than a year revamping its Alexa assistant with generative AI features, finally launching it this February as Alexa+. The assistant keeps its smart home chops, and can now do most things that other AI chatbots can — like planning an itinerary for a trip, updating a shared calendar, finding and saving recipes to a library, making movie recommendations, helping with homework, exploring a topic, and more.
Amazon declined to comment.
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Tech
Cyberattack on vehicle breathalyzer company leaves drivers stranded across the US
A cyberattack on a U.S. vehicle breathalyzer company has left drivers across the United States stranded and unable to start their vehicles.
The company, Intoxalock, says on its website that it is “currently experiencing downtime” after a cyberattack on March 14. Intoxalock sells breathalyzer devices that fit into vehicle ignition switches, and is used by people who are required to provide a negative alcohol breath sample to start their car.
Intoxalock spokesperson Rachael Larson confirmed to TechCrunch that the company had been hit by a cyberattack. Larson said the company took steps to “temporarily pause some of our systems as a precautionary measure.”
These breathalyzer devices need to be calibrated every few months or so, but the cyberattack has left Intoxalock unable to perform these calibrations. The company said customers whose devices require calibration may experience delays starting their vehicles.
Drivers posting on Reddit say that cars are unable to start if they miss a calibration, effectively locking drivers out of their vehicles.
According to local news reports across Maine, drivers are experiencing lockouts and some have been unable to start their vehicles. One auto shop in Middleboro told WCVB 5 in Boston that it has had cars parked in its lot all week due to the cyberattack.
News reports from across the United States show drivers are affected from New York to Minnesota, and drivers have been unable to drive because their vehicle-based breathalyzers cannot be immediately calibrated.
Intoxalock would not say what kind of cyberattack it was experiencing, such as ransomware or if there was a data breach, or whether it had received any communications from the hackers, including any ransom demands. The company’s technology is used in 46 states, its website says, and it claims to provide services to 150,000 drivers every year.
Intoxalock did not provide an estimated timeline for its recovery.
