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Apple Releases Xcode 26.3 With Support for AI Agents From Anthropic and OpenAI

After several weeks of testing, Apple today released Xcode 26.3, an update that allows developers to use tools like Anthropic's Claude Agent and OpenAI's Codex for app creation directly in Xcode.

macOS 26 Xcode
With support for agentic coding, Xcode can complete more complex app development tasks autonomously. Apple worked with Anthropic and OpenAI to configure their agents for use in Xcode and to ensure that AI models can access a full range of Xcode features.

Agents are able to create new files, examine code structure of a project, build a project directly and run tests, take image snapshots to check their work, and access Apple's full, up-to-date developer documentation.

Along with OpenAI and Anthropic models, Xcode 26.3 is compatible with any agent or tool that uses the open standard Model Context Protocol.

Xcode 26.3 is available for download today from Apple's developer website.

Tag: Xcode

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Top Rated Comments

3 days ago at 11:58 am

Yes - but for those of us who know a bit of code but aren't 'skilled' it opens up a new world of possibilities. I don't claim to be a coder - heck I only really know Python from a class I took a few years back and then have been tinkering ever since.

AI has been a game changer for me. Instead of scratching my head over syntax or commands, I get to express my idea, have AI write the code and then iterate in ways I just couldn't do before. I don't really care if it's great code or not as long as I get the results I need. I've built simple but time saving tools this way in ways in minutes instead of days or weeks.

An analogy for me would be - can a skilled barista make a better coffee than a super-automatic? Of course! But is a super-automatic an option for decent coffee if you don't have barista skills - hell yes!
Yep and I am a developer, just not an iOS or even Mac developer. But since getting Claude I’ve written my first Mac apps, signed up for the developer program and started writing iOS apps. These will never go on the App Store but I’m using them on my phone, solving use cases that I’ve had in my head for years.

Last weekend I built an app and backend that scrapes the commuter bus schedule and announces on my Sonos when a bus is 15 minutes away. That’s integrated with an MCP server that lets me tell Claude “I’m going to the office tomorrow” and it knows to set my Sonos alarm to the right time and start announcing buses the next morning. I wrote the iOS app to add a notification so it shows on my watch and keeps getting updates after I leave.

The Sonos part also tracks all the songs I play, including via SiriusXM and presents stats and a favorite function. Just last night I added MusicKit support so now that list of favorites syncs to my Apple Music as a playlist.

Nowadays if I see an app that does something I want but just slightly off, I just write a custom app exactly to my specs, and with no ads or subscriptions.
Score: 11 Votes (Like | Disagree)
chrono1081 Avatar
3 days ago at 11:29 am

I have yet to see a skilled developer write better code than AI. In particular, the SotA models released since Opus 4.5
And no one who is a software developer believes you.
Score: 10 Votes (Like | Disagree)
3 days ago at 10:52 am
Begun, the iOS app Vibe Code Wars have.
Score: 9 Votes (Like | Disagree)
3 days ago at 11:02 am

I have yet to see AI write acceptable code and I've said it before and I'll say it again, AI slows down a skilled developer. MIT even did a study on it showing that developers get slowed down between ~19% - ~22%.
I have yet to see a skilled developer write better code than AI. In particular, the SotA models released since Opus 4.5
Score: 9 Votes (Like | Disagree)
3 days ago at 12:01 pm

I have yet to see AI write acceptable code and I've said it before and I'll say it again, AI slows down a skilled developer. MIT even did a study on it showing that developers get slowed down between ~19% - ~22%.
First, that study wasn't out of MIT. It was an independent group.

Second, you're oversimplifying what they found.

That study showed senior developers were slower on brownfield type tasks. When there is deep architecture, a particular project set of jargon/idioms, and large-scale dependencies, senior developers were slower with AI tools (that existed at the time of that study). However, if you are starting from scratch or doing more simple tasks, that same study found evidence that AI can increase productivity.

It's also important to understand the limitations of that study and what can be inferred from their data. From that paper ('https://arxiv.org/pdf/2507.09089'): "The slowdown we observe does not imply that current AI tools do not often improve developer’s productivity—we find evidence that the high developer familiarity with repositories and the size and maturity of the repositories both contribute to the observed slowdown, and these factors do not apply in many software development settings. For example, our results are consistent with small greenfield projects or development in unfamiliar codebases seeing substantial speedup from AI assistance."

So experienced developers using mature repositories they are highly familiar with were faster than AI-assisted developers on particular tasks. For many other situations, there is solid evidence of speedup in other studies and in that one. Focusing just on the slowdown misses the bigger picture. Granted, the authors of the paper highlighted the slowdown more than the speedups, but they were pushing back against a broader set of data or perception that using AI tools always speeds up productivity. That is not the case.

But this study does not show developers are always slower with AI tools, just sometimes slower. Overall, the data suggest AI can slow down some developers in some areas and speed up in other areas.

I'll give an anecdote as someone who is not a developer. I've been writing Bash (yes, not a "real" language) code for a couple decades. I have some experience with Python and R. It's been many years since I've done anything with BASIC, C, C++, or Java.

What do I do? I'm a scientist who uses a lot of coding for my research. I now have Gemini and ChatGPT generate Python, R, and Bash code all the time for my work. It does exactly what I need in about 1/10th the time it used to take me to do things. That's not an exaggeration. If anything, it's an under-estimate.

Just a quick example. Getting data ready for my dissertation analyses involved me writing a 3000+ line script. That took some months to work through and verify everything. If that was the only thing I needed to work on, maybe I could have done it in 1-2 weeks. I can generate just as complex code that does similar things and much more (and with me verifying output!) within a day or two now.

It was a good learning experience for me at the time, but it also meant that instead of having time to work on other research that would lead to publications, I used all my time on my dissertation. Again, that was fine, but I appreciate being able to get through much more coding in much less time than I used to. I have more time to think about the science.

But I'm not a developer and my anecdote only applies to my situation.
Score: 9 Votes (Like | Disagree)
CalMin Avatar
3 days ago at 11:28 am

I have yet to see AI write acceptable code and I've said it before and I'll say it again, AI slows down a skilled developer. MIT even did a study on it showing that developers get slowed down between ~19% - ~22%.
Yes - but for those of us who know a bit of code but aren't 'skilled' it opens up a new world of possibilities. I don't claim to be a coder - heck I only really know Python from a class I took a few years back and then have been tinkering ever since.

AI has been a game changer for me. Instead of scratching my head over syntax or commands, I get to express my idea, have AI write the code and then iterate in ways I just couldn't do before. I don't really care if it's great code or not as long as I get the results I need. I've built simple but time saving tools this way in ways in minutes instead of days or weeks.

An analogy for me would be - can a skilled barista make a better coffee than a super-automatic? Of course! But is a super-automatic an option for decent coffee if you don't have barista skills - hell yes!
Score: 7 Votes (Like | Disagree)
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