
We are already halfway through 2026 📅 That means it’s the perfect time to look back at the big framework predictions made at the start of the year and see which trends are actually dominating our codebases. From checking our apps for a zoneless future to auditing AI-generated code, this week’s community round-up has you covered.
Dive into these expert insights and level up your stack:
Now that we are midway through the year, it’s time to check in on our expectations! This video features an insightful conversation mixed with a massive panel of experts — including Alejandro Cuba Ruiz @zorphdark, Eduardo Roth @eduardoRoth, Alfredo Pérez, Nicolás Molina @nicobytes, Vanessa Marely, and Ricardo Chavarría. Together, they look back at their original visions for 2026 to see which predictions have already become reality.
Watch the round-table discussion: https://youtu.be/xzaXVSrzuTs
Sonu Kapoor @SonuKapoor1978 explores how the Model Context Protocol (MCP) is fundamentally transforming Angular development this year. Discover how tooling has evolved to reason about your workspace, moving far beyond basic CLI scaffolding.
Read the full analysis: https://www.codemag.com/Article/2601071/From-Commands-to-Conversations-How-AI-Assisted-Tooling-Is-Transforming-Angular-Development
Muhammad Ahsan Ayaz @codewith_ahsan drops two incredibly valuable videos. First, a rapid-fire refresher on everything that landed in Angular v21. Second, a crucial look at why standard AI models frequently still write outdated Angular code, and how you can fix it.
Watch the v21 Recap: https://youtu.be/pVTiAZgEslw
Watch “Your AI is Coding Wrong”: https://youtu.be/tCROVJMcAF8
Looking for a comprehensive, up-to-date guide to the framework’s modern features as of 2026? Loiane Groner @loiane has released an entirely free course packed with modern best practices and architecture patterns.
Start learning here: https://www.youtube.com/playlist?list=PLGxZ4Rq3BOBqJfR254ZMuBfFRMeyr162U
Zoneless is the definitive milestone for high-performance Angular apps, but is your codebase prepared yet? Alain Chautard @AlainChautard provides a practical checklist to ensure your app is fully ready for a zone-free architecture.
Watch the prep guide: https://www.youtube.com/watch?v=mcSR6IIKvEE
Brooke Avery @JediBravery and Matthew Christiansen host Deborah Kurata @DeborahKurata on The Dev Life podcast to talk about the massive architectural paradigm shift brought on by Signals. Learn how to ride the reactive wave smoothly into the second half of the year.
Listen to the episode: https://www.youtube.com/watch?v=6mnF3RJ1G-Y
We are 6 months into 2026 — what has been your biggest Angular surprise so far? Did the panel hit the nail on the head, or did the framework take a direction you didn’t expect?
Keep the community ahead of the curve. Use #AngularSparkles to pass along these mid-year reflections and architectural insights 👇
Angular in 2026: Mid-Year Reality Check, Signals, and AI Code Quality! 🌊 was originally published in Angular Blog on Medium, where people are continuing the conversation by highlighting and responding to this story.
WWDC 2026 isn’t about new features. It’s about whether Apple will finally ship AI that works, or disappoint again.
This is my first iOS Dev Weekly, so let me introduce myself.
I’m Sriyank Siddhartha, Head of Developer Community at next.app devCon. Twelve years ago, I ran my first mobile app and fell in love with building. I taught myself, then taught others - millions through my YouTube channel and my Pluralsight courses. It never stopped: Android, Flutter, Kotlin, React Native, and now iOS.
Writing this issue feels like a chance to explore mobile development from a fresh angle. With AI, framework lines might blur over time. Meanwhile, let’s enjoy building mobile apps.
Apple’s pressure this year is credibility, not features. At WWDC 2024, they announced Apple Intelligence with an AI-powered Siri. The demo was impressive. The release kept getting delayed. Now WWDC 2026 on June 8 is explicitly framed as showcasing “AI advancements”.
iOS 27 is reportedly a “Snow Leopard-style” release: focused on squashing bugs, improving battery life, and rewriting chunks of the OS instead of stacking flashy features. That’s not a bad thing. It’s exactly what a platform needs after years of accumulated complexity.
But the industry is watching the AI roadmap more carefully this time.
This week’s wishlist posts from respected developers make that clear. Majid is asking for Foundation Models image input, lazy custom layouts, and SwiftUI view recycling. Michael Tsai rounds up the community’s broader asks: quality improvements, AI skepticism, SwiftUI pain points, and better Xcode automation. Jan Van Rijn goes further - predicting agentic development, MCP for App Store Connect, and App Intents becoming essential. The pattern is clear: developers want Apple to fix what’s broken before shipping what’s new.
What developers do in the next 18 days, after the beta drops, determines how fast they can act on the answers.
– Sriyank Siddhartha
SwiftCon is coming to Berlin as part of next.app devCon, the largest gathering of mobile app developers. We’re opening the CFP for iOS builders who go beyond tutorials: SwiftUI in production, architecture decisions, performance wins, and hard trade-offs. If it shipped, it belongs here. Submit your talk today.
Michael Tsai gathers the main questions around WWDC 2026: will Apple’s AI actually work, what’s the real status of labs after the pandemic, is the new design language sustainable, and what are the Design Awards telling us about Apple’s priorities. A strong set-the-scene item for WWDC week.
An unusual and technically interesting tool for Swift developers. SwiftTUI brings SwiftUI to the terminal. It provides an API similar to SwiftUI for building text-based user interfaces: stacks, .frame(), .padding(), ScrollView, TextField, buttons with arrow key navigation, ANSI colors, bold/italic/underline text, and @State, @Binding, @Environment property wrappers. The goal is to resemble SwiftUI in API and inner workings while making sense for terminal apps.
Neal Hoeger explores SwiftUI animation timing, covering animation curves, easing, spring animations, timing parameters, and the CustomAnimation protocol. A practical guide for developers who want precise control over their SwiftUI animations.
Fatbobman explains how Observation can bring property-level reactivity ideas to Core Data, why that matters for SwiftUI mental models, and where the trade-offs are. Deep technical content about Core Data architecture and modern SwiftUI integration.
Matt Massicotte explores stateless actors in Swift concurrency. Advanced Swift concurrency topic about actors without internal state, useful for developers building concurrent code with clear isolation boundaries.
This author literally killed SwiftUI by migrating an entire iOS app to UIKit in one week. Controversial, but worth reading for the balance.
Learn how to profile and optimize agentic AI apps on Intel-powered Windows PCs. In this live demo, analyze performance across CPU, GPU, and NPU to identify bottlenecks and improve responsiveness and power efficiency. See how to build performance profiles and apply tuning techniques using Intel Tracing Technology, OpenVINO, and Windows ML.
Seating for this session is first-come, first-served. Add it to your schedule to plan your day and arrive early to secure a spot.
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Freddy Chiu
* Vasanth Tovinkere
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2026 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
DEMSP384 | Cloud platform & data
Demo | (300) Advanced
#MSBuild
Chapters:
0:00 - Introduction and speaker introductions
00:03:39 - Types of telemetry: platform/system vs application/middleware
00:05:31 - Integration of Intel tracing technologies (ITT) for software telemetry
00:09:22 - System-Level Hardware and Software Interaction Overview
00:11:10 - Tool Invocation, Profiling, and Optimization Discussion
00:13:59 - Introduction to platform telemetry and hardware-level metrics
00:16:05 - Custom software instrumentation and task creation within telemetry data
00:16:40 - Transition to demo section and introduction of 3.6B parameter model
00:19:33 - Analyzing Model Compilation Time and Software Stack Operations
This week, we discuss NVIDIA going consumer, Microsoft Build, and the Anthropic/OpenAI IPO race. Plus, does credit card insurance work?
Watch the YouTube Live Recording of Episode 575
Runner-up Titles
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