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.

• Frank: Twitter, Blog, GitHub
• James: Twitter, Blog, GitHub
• Merge Conflict: Twitter, Facebook, Website, Chat on Discord
• Music : Amethyst Seer - Citrine by Adventureface

⭐⭐ Review Us ⭐⭐

Machine transcription available on http://mergeconflict.fm

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.

• Frank: Twitter, Blog, GitHub
• James: Twitter, Blog, GitHub
• Merge Conflict: Twitter, Facebook, Website, Chat on Discord
• Music : Amethyst Seer - Citrine by Adventureface

⭐⭐ Review Us ⭐⭐

Machine transcription available on http://mergeconflict.fm

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.

• Frank: Twitter, Blog, GitHub
• James: Twitter, Blog, GitHub
• Merge Conflict: Twitter, Facebook, Website, Chat on Discord
• Music : Amethyst Seer - Citrine by Adventureface

⭐⭐ Review Us ⭐⭐

Machine transcription available on http://mergeconflict.fm

In episode 499 James and Frank dive into the messy, exciting world of coding agents — from burning through Copilot credits and avoiding merge conflicts to practical workflows for letting agents run tasks while you sleep. They share real tips: break big features into bite-sized tasks, have agents ask clarifying questions, and use Copilot CLI or the new SDK to resolve conflicts, auto-fix lint/build failures, and automate mundane repo work.

The conversation then maps the evolution from simple completions to autonomous loops like Ralph — a structured, repeatable process that generates subtasks, runs until acceptance tests pass, and updates your workflow. If you’re curious how agents, MCPs and SDKs can elevate your dev flow or spark new automations, this episode gives pragmatic examples, trade-offs, and inspiration to start experimenting today.

• Frank: Twitter, Blog, GitHub
• James: Twitter, Blog, GitHub
• Merge Conflict: Twitter, Facebook, Website, Chat on Discord
• Music : Amethyst Seer - Citrine by Adventureface

⭐⭐ Review Us ⭐⭐

Machine transcription available on http://mergeconflict.fm

This episode opens with mic and Nintendo banter before plunging into macOS release pain points: sandboxing, hardened runtime, notarization, Sparkle auto‑updates, and automating releases with GitHub Actions and tags. James and Frank offer practical tips—drag builds into /Applications to test signing—and unpack .NET 10 trimming/reflection pitfalls and CI/CD quirks for anyone shipping native apps outside the App Store.

• Frank: Twitter, Blog, GitHub
• James: Twitter, Blog, GitHub
• Merge Conflict: Twitter, Facebook, Website, Chat on Discord
• Music : Amethyst Seer - Citrine by Adventureface

⭐⭐ Review Us ⭐⭐

Machine transcription available on http://mergeconflict.fm

In this episode James and Frank dive into the practical realities of using AI in everyday development—arguing that AI shines in brownfield (existing) code because it respects your architecture, while greenfield work rewards iterative prompting. They unpack model quirks: context-window limits, hallucinations, and why trying different models matters. The heart of the show is Frank’s nerdy delight: feeding a 64KB EEPROM through a disassembler and having Sonnet decompile it into readable C, exposing a PID autopilot and hardware checks—proof that AI can accelerate reverse engineering and embedded work. Along the way they share hands-on tips (trim and clean context, use disassembly first, tweak prompts), and fun examples of AI-generated icons and AppleScript. A must-listen for devs curious how AI can supercharge real projects.

• Frank: Twitter, Blog, GitHub
• James: Twitter, Blog, GitHub
• Merge Conflict: Twitter, Facebook, Website, Chat on Discord
• Music : Amethyst Seer - Citrine by Adventureface

⭐⭐ Review Us ⭐⭐

Machine transcription available on http://mergeconflict.fm

• Frank: Twitter, Blog, GitHub
• James: Twitter, Blog, GitHub
• Merge Conflict: Twitter, Facebook, Website, Chat on Discord
• Music : Amethyst Seer - Citrine by Adventureface

⭐⭐ Review Us ⭐⭐

Machine transcription available on http://mergeconflict.fm

James and Frank unwrap 2025 as the Year of AI Development, covering new models, the rise of agents, and editor integrations like Copilot in VS Code that changed how developers write and maintain code. You’ll hear practical takeaways—how next-edit, local models, RAG/vectorization and app‑on‑demand sped prototyping, slashed maintenance time, and why the hosts think the AI boom has legs into 2026 despite looming uncertainty.

• Frank: Twitter, Blog, GitHub
• James: Twitter, Blog, GitHub
• Merge Conflict: Twitter, Facebook, Website, Chat on Discord
• Music : Amethyst Seer - Citrine by Adventureface

⭐⭐ Review Us ⭐⭐

Machine transcription available on http://mergeconflict.fm