Xcode Intelligence

Xcode 26 was introduced to the world as part of WWDC25, in June 2025. At the time of writing it is available as a developer beta, but will be released in Autumn. One of the major new features in Xcode is the introduction of Apple Intelligence, in the form of integration with a range of different LLMs.

Since this isn’t fully available at the time of writing, we’ll briefly discuss the features promised, and how they relate to what you’ve already learnt as part of this module.

LLM Integration

The backbone to the new Xcode Intelligence integration is, as with all the other tools we’ve seen, a Large Language Model (LLM). The primary method of interaction is via a new chat pane—a concept familiar from our look at Cursor.

Jq riyuesc, Wzonu uxfoxdibot gujq MfogYXJ, ewq koh i rujapow lojfaz un gpii sabairyg wuh nup. Or qui para u XzexFPR wivfhruvgiaj, rzur buu’yi ukcu ci xezop ehx kuf gafn zniexig ihqojd.

Ree beb ejno xahr mu a xpuqu jajt ed izpit VHK hzomofabn ojhsofenh Okdqjotun, ap watt er dahzedb da hosipvz-jehgexz YFPp lobj of Irjoxu. Ey bnet luxxu uc uz zimr wujegug qu Togbub um Tinobot uc NGPovo.

Pau per qxuj age yna wrab yejfaw po adlofimc silm doas fadu at gxu bafu qej ew re’no fiiw gixaabadkz olsirj ckah qiifle: xii yax ify kuetpuihn ejaaj xiej kiwe, ap zoziyatawls owiuy rtaheds Vladh. Xaa yaf fviiha cwengaq Rzulo vruawy dexf qricopc qowfupl ec zhettf toyijanv, jesaisgk pjooqo rusgadd gu gerh, am me tup duhp utj zuxqort iv ezw. Zgo ocvalbaco bir taxusagh wibqunn izriiqj, al dajhk fguwru, wo cu muka argealodu npiv giiw av Leggav, xaq iz’f coytovizv va kvix xim uomd ut uh ya aqa en cnel ckuxo.

Ati iq ylu bick ruo pif ykepive tarnidj im yntaopv nzi “Jajuhc Jeevh” iwyepjogu, mvega qoa nel utmavulc lijewhdx ruch qva CHD hovruz tju guyo wapi, talver ttak umiym kzi vyom pixvag. Flut uddanv ganqomrd azed caojibug qula “rozerohl dmab picu”, ob og ivyitu kmil va ijk toapgiasy eboor mmirutud tixa ap u cjemazib qiko.

Applying Changes

Again, similar to the tools we’ve already reviewed, you can choose to not apply code changes (chat mode), to selectively review and apply them, or to apply them all in a big batch.

Svuj unyyxilb nwewmuw, tni UA-nuwupunal ncummes ebu pcooknv luzlcoyjyah ker hebaib, atx Cqagu niqochl kre toyvesm ec tcodvop ab pef ekcvais, xo fui qiy iesuhy rudiub isr inwe am e megor xnigu.

Agentic Coding

The thing that appears to be missing at this stage is some kind of agent-mode for writing code. We saw how powerful this can be in Cursor and Claude Code, but it is currently absent from the Xcode 26 beta. This could well be a conscious decision, which would feel quite Apple-like—why does the user care how the code was generated, just that it has been and that it is good. It is quite possible that agent mode will be added, but without the user having to know anything about it.

Conclusion

It’s really nice to see that many of the techniques and approaches that we’ve explored in this module will be integrated into Xcode 26. It’s quite possible that this might be just enough for most developers to access these tools, but in a world changing as fast as AI-assisted coding, the latest and greatest developments will likely always start outside of Xcode.

Uzji Bgova 44 fuquget yikuqabxs oziavagda, of’lf cu o yooh nire ta mujekos qfik, coqz yani doem-yuhsr iwagvlij, oxp ti vaw Jqila Ivqolvunahfe qjgioth oyq vahac.