James and Frank dig into Slate’s modular electric pickup — a $24,950, 205‑mile, no-frills truck you can customize later — and unpack how factory vs dealer options, aftermarket mods and build quality will make or break the idea. They also cover real-world charging (level 1/2/3), fleet and daily-use practicality, and why a DIY, upgradeable EV could reshape affordable vehicle ownership.

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Episode 521 James and Frank obsess over “polish”: the tiny design and packaging details that make apps feel finished. They start with impeccable.style, product.md and design.md (and why agents.md and readme aren’t enough), then dig into UI fit‑and‑finish — tray/menu UIs, icon choice, grouping settings and why AI agents still struggle with layout and whitespace. The conversation then moves deep into Windows packaging: WinApp SDK versions, trimming woes with WinRT, ready‑to‑run vs. single‑file self‑contained builds, MSIX tradeoffs, and strange cases where builds bloat with unwanted packages. Key takeaways: give agents the right metadata, expect to hand‑tune UI polish, split architectures, disable R2R for size savings, exclude unnecessary SDK assets, and use Windows Sandbox/WSD for testing. A practical, nitty‑gritty episode for devs who care about the final mile.

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This episode dives into the new GitHub Copilot app — a hub for agent sessions, multi‑repo orchestration, PR‑first workflows, automations and the new canvas metaphor for triage and planning. James and Frank unpack how sessions can spawn and coordinate across repositories, agent‑aware merges that respect CI and code review, support for local models and extensions, and the token tradeoffs to be aware of. The canvas demos (swipe‑to‑triage, Kanban agent assignment) show how Copilot is trying to move beyond chat windows into real UX for developer workflows.

They also tour Windows dev work: embracing WinUI for native apps, using a Windows developer setup script, packaging and Winget publishing, and the power of Visual Studio 2026 for debugging, profiling and live XAML edits. If you ship apps or want agent-driven workflows, this episode is full of practical tips and honest caveats.

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Links:

• ResizeMe

James and Frank break down WWDC’s developer-focused news—from Apple’s AI push (local models, a new private cloud for foundation models, and a command‑line API) to Xcode’s new agent integrations, the device hub/simulator overhaul, and macOS/UI polish. If you build apps, pay attention: small developers now get subsidized cloud models, Intel Macs are being sunset, and you’ll need to test many form factors and new Swift/AI APIs.

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Microsoft Build 2026 brought a major shift: homegrown AI models designed for efficiency and real-world developer workflows. From the cost-effective MAI Code 1 Flash to sandboxed code execution and Windows developer tools, discover how Microsoft is making powerful AI accessible without breaking the bank. James shares his hands-on experience proving that you don't need expensive flagship models for most agentic coding tasks.

Windows: https://developer.microsoft.com/en-us/windows/dev-tools

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Episode 517 starts with a light chat about AI avatars and new text‑to‑speech deepfakes before diving into LLM “thinking” modes—what baked‑in planning actually does, why it multiplies token costs, and when it helps or hurts. James and Frank give concrete dev advice: try low‑thinking settings, use big models for creative planning then smaller ones to execute, leverage harnesses/system prompts, and beware quantized local models often do better without thinking.

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James and Frank unpack AI-driven development shifts—agent SDKs, session management, and the rise of agent-first UIs like Google’s anti-gravity and GitHub Copilot—showing how VS Code’s Agents window, worktrees, sub-sessions and tunnels help manage multi-repo cloud and local workflows. They share practical takeaways—why SDKs are essential, when to stay code-first, how subsessions and remote tunnels protect your machine, and what to watch for in sandboxing and integration gaps.

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James and Frank share thrift‑store monitor triumphs (and a retro Wii audio nightmare) before diving into a no‑nonsense guide to buying displays: what ports, VESA mounts, and speakers really matter. They demystify HDR, mini‑LED vs OLED, refresh‑rate math (why 40/120Hz divides matter), and modern upscaling—plus the surprising developer headaches of getting HDR to actually work. Practical tips and geeky fun for anyone shopping or building.

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In this episode James and Frank dive into running AI coding models locally versus in the cloud—BYOK/Open Router, VS Code’s chat/agent harness, model runners (Olama, vLLM), and the practicality of 27B models on a 3090 using 4‑bit quantization. They share hands-on takeaways—how recent engineering (MT/MTPLX) boosts inference to usable token rates, when auto model selection makes sense, cost and hardware trade‑offs, and why local models can liberate your workflow while still needing smarter, unified tooling.

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James and Frank explore the future of developer workflows powered by AI agents, revealing how developers are shifting from coders to testers and product strategists. They dive into new research-planning-implementation cycles, GitHub's usage-based pricing changes, and why developers must think strategically about model choices and token costs. Plus, reflections on Apple's leadership transition and the need for bold hardware innovation.

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