Fast C Tools ⚙️, Unity 6.5 Lifecycle 🎮, MCP Optimization 🤖
⚙️ Performance Tools & Architecture
Building Fast Desktop Tools in C: File Pilot’s Architecture
File Pilot is what happens when a Handmade-style C programmer gets fed up with Windows Explorer. In this long-form walkthrough, Vjekoslav Krajačić shows how he structured his 100k-line codebase into a tiny platform layer, slim GL/D3D render backends, and a big, portable “program layer.” He demos his immediate-mode UI framework, command queue input model, and fast build/debug loop, then live-codes a new UX feature. If you’re building in-house tools or editors, this is packed with transferable ideas.
Goodbye Static Leaks: Unity 6.5 Lifecycle Management Deep Dive
Unity 6.5 ships a new Lifecycle Management API that finally makes running with Domain Reload disabled both fast and safe. This deep dive walks through attributes like `[AutoStaticsCleanup]`, `[OnEnteringPlayMode]`, `[OnExitingPlayMode]`, `[OnCodeInitializing]`, and `[OnCodeUnloading]`, showing how they fix static leaks, event buildup, and awkward initialization timing. You’ll see practical code examples, learn when to use each hook, and get migration tips. It’s also a primer on preparing your project for Unity’s CoreCLR switch in 6.8.
🧠 AI-Powered Game Development
From Evil Cogs to AI Tools: Optimizing Unity with MCP
Indie dev–turned–AI engineer Ivan Murzak shares how he took a tiny, highly optimized Limbo-like mobile game to 5 million downloads, then pivoted to build one of the most-used open-source Unity MCP servers. He explains how brutal mobile constraints shaped Evil Cogs’ design, why he treats optimization and analytics as an art, and how his MCP uses reflection to let AI control any Unity data. The conversation also dives into the messy reality of today’s MCP ecosystem, CLI-based alternatives, and whether CS degrees still matter in an AI-first world.
From Graybox to Polish: How Unity AI Supercharges Game Dev
Unity’s built-in AI is more than a chat box—it’s a full productivity layer over the editor. This deep dive demonstrates Ask/Plan/Agent modes, project-aware debugging, and powerful profiler analysis that can automatically refactor your scripts for performance. It also covers content generation for 3D characters, rigs, sprites, animations, sounds, UI, and levels, plus how to roll back changes safely with checkpoints. If you’re wondering whether Unity AI is worth adopting for your next game, this video is a must-watch.