In this episode Frank and James riff on everything from accidental source‑map leaks (yes, even Apple slips up) to using Copilot and multi‑agent AI workflows to triage issues, write PRs and even plan trips. They share hands‑on tips—use “plan mode” and deep research, turn plans into issue artifacts, run multi‑model code reviews, cap concurrent agents (~3), and babysit agents—to boost productivity while avoiding chaos and burnout.

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At MVP Summit we dig into Agentic Workflows — write Markdown prompts that drive AI agents to run CI, open PRs, and automate cross‑repo tasks — and MAUI DevFlow, which lets agents interact with native UIs to click, screenshot and validate designs. Listen for practical takeaways on ditching brittle YAML/scripts and automating tedious maintenance and testing, plus the real caveats: security front‑matter, a compile/lock step and token costs.

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In Episode 507 James grills Frank about UI choices in his iCircuit app—crowded toolbars, popover behavior on iPhone vs iPad, and flaky TestFlight/App Store review timing. They trace a nasty bug to Apple’s deprecated OpenURL behavior in iOS 26, debate in-app browsers vs Safari and multi-window docs, and remind developers that subtle platform changes and lack of polish can silently break UX—practical lessons for shipping mobile apps.

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James and Frank unpack the exploding world of AI coding agents—covering instructions, MCP tools, custom agents, hooks, plugins and why “skills” matter. They walk through the new .NET Skills repo (P/Invoke, MSBuild, diagnostics, binlogs), show how skills act like practical, on‑demand tutorials for niche tasks, and sketch how tooling will soon auto-load the right skills so agents can just do the thing for you.

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On this episode we wade through Apple’s drip‑fed “event week,” from the budget iPhone 17E to the new MacBook Neo/Air M5 and the pricey Studio Display, and argue who each device is really for. The big takeaway: 8GB of RAM is borderline unusable for modern web and dev workflows—buy up if you can—while the Air M5 looks like the sweet spot; plus a fun detour on using Copilot/Fleet to scaffold apps in minutes.

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Frank Kruger celebrates iCircuit’s 15‑year journey—from an iPad‑era $20 launch and surprising overnight success to the present—unpacking the tradeoffs between maintaining a flagship app and chasing new side projects. He offers candid lessons on pricing, backporting legacy fixes, modernizing pipelines, and explains how AI agents have reshaped his workflow and will power the next wave of iCircuit features.

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On this episode we dive into Tiny Tool Town — a GeoCities‑style app hub for tiny developer utilities — and James walks us through building Tiny Clips, a Mac toolbar screen‑capture app he prototyped and shipped using Copilot, agentic workflows, and a plan‑implement‑review cycle. Expect practical takeaways on multi‑model AI pipelines (planning with 5.2, coding with Codex/Opus), CI/publishing tips, sandboxing/TestFlight pitfalls, and why tiny apps are booming.

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Links:

• Tiny Tool Town
• Tiny Clips

Discover the machine learning breakthrough changing everything: rectified flow. Frank breaks down how this revolutionary technique replaces 1,000-step diffusion with just 10, delivering faster and higher-quality image and video generation. Learn why major players are adopting it and how it's democratizing AI for everyday creators.

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In this episode James and Frank walk through the latest Copilot CLI power-ups—Autopilot loops, experimental Fleet/parallel agents, and Opus model/context updates—while demoing how they used plan mode to spin up a full MAUI pet‑insulin app end-to-end. Learn what Autopilot and Fleet actually do, how parallel agents orchestrate work, plus practical tips (watch your context window, use plan mode) for turning AI agents into fast prototypes.

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On our 500th episode James and Frank celebrate the milestone, reminisce about their mobile‑dev roots, and dig into how AI, the Copilot CLI/SDK and the Model Context Protocol (MCP) are reshaping workflows. Frank demos an MCP‑powered tool that turns app reviews into prioritized GitHub issues and automations — a real example of AI-as-glue — with practical takeaways on prompt engineering, UI extensions, and when to automate versus curate manually.

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Links:

• App Review Fetch