A vague prompt = vague output. This guided approach from Sparka is a great example of how the right AI workflow can make indie devs faster andmore consistent. Exactly the kind of tool + mindset we’re building in Swift Intents. Join us → swiftintents.com

Back with another #buildinpublic update! The beta for Sparka is coming this weekend #ShipATon

The formula for shipping apps has changed: Use AI to find and validate ideas (minutes) Use AI to build (days) Use AI to help with marketing (spend more time marketing than building) Use AI for analytics analysis (automated suggestions) Use AI to iterate and improve (make money)

That feeling of being rejected from every conference you applied to talk to. No worries — roll on an eventual Swift Intents conference. #SwiftIntentsConf

Check out some things we’ve learned on our #buildinpublic journey!

Big news: we’ve "acquired" AteIQ. 🥑 (Okay okay, Stephen Dixon just moved it over to the Swift Intents account — but still, we’ll take it. 😅) Excited to grow AteIQ alongside Sparka + everything else we’re building. #Shipaton2025 #BuildInPublic

🚀 Big milestone: Sparka is now live on the App Store! Sparka helps you write better prompts, faster—built by indie devs who ship. This is just the start. 👉 Download now: apps.apple.com/gb/app/sparka-… #AI #BuildInPublic #SwiftIntents #Shipaton

Sparka is the prompt coach you didn’t know you needed. It scores your prompts. Gives specific feedback. Helps you get better — fast. If you’re building with LLMs, this tool’s a cheat code. #PromptEngineering #AItools #BuildInPublic 👇

We're ready for iOS 26! #buildinpublic #shipaton2025

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Checkout our latest video! How to use Icon Composer youtu.be/17_HNFrHkmg

We’re mapping common “vibe‑coding” pitfalls → simple recipes (prompts + Swift snippets). Reply with your current roadblock and we’ll pair it to a recipe. #iOSDev #AI #LearningInPublic

What are you building this week? Drop your app idea + target user. We’ll suggest a model + tools combo to get you shipping faster. #IndieDev #AI #ShipIt

On‑device vs server LLMs: - On‑device: snappy, private; keep tasks lightweight - Server: heavier reasoning; watch latency + cost Pick per task, not per app. #AI #iOSDev #Privacy

Starter stack for vibe‑coders: SwiftUI + SwiftData → BackgroundTasks → URLSession LLM: JSON mode + tool calls Ship one Golden Path first. Want a template? #iOSDev #AI #BuildInPublic

As a small team, small wins mean a lot