Claude Code Leak! Rate Limits keep changing, and Building Agentic Systems | Ep 13

Gemini 3.5 Flash, Composer 2.5 is a Beast, Google IO, We Live in Exciting Times | Ep 16

Google I.O. brought major updates, but the developer community is furious. Is Gemini 3.5 Flash a massive step backward for production apps? In Episode 16 of Rate Limited, Ray, Eric, and Adam break down the massive backlash surrounding Google’s new pricing model and token consumption, why the Gemini CLI is getting aggressively sunset, and whether Cursor’s new Composer 2.5 is the absolute pinnacle of AI coding workhorses.  We also react to Andrej Karpathy’s massive jump to Anthropic, detail a wild success story of modding Zelda into VR using Codex's Goal Mode, and discuss how to transition your mindset into the era of probabilistic, agentic engineering. If you are an engineer or builder navigating the frontier of AI, hit that subscribe button for deep, unfiltered technical breakdowns twice a month. Links: Ray: https://www.youtube.com/@RayFernando1337 Eric: https://www.youtube.com/@pvncher Adam: https://www.youtube.com/@GosuCoder 00:00 - Google I.O., OpenAI, & Composer 2.5 00:45 - The Truth About Gemini 3.5 Flash & Token Guzzling 02:08 - Is Gemini Rebranding What "Flash" Means? 03:45 - Prompt Performance & Instruction Following in Anti-Gravity 05:47 - Google's Profit Margins and Capacity Constraints 06:15 - RIP Gemini CLI: Google Consolidating Compute 07:38 - The Hidden Cost of Small Model Reasoning 09:38 - Google's Distillation Strategy & Compute Allocation 11:41 - Knowledge Cutoffs & Eval Degradation in Gemini 3.5 13:40 - Anti-Gravity 2.0 Drama: Shifting Away From Consumers 16:40 - Composer 2.5 First Impressions: A Pure Coding Workhorse 19:15 - Building Parallel QA Agents with Browser Use 21:32 - How Cursor Pulls Off Trillion-Parameter Speeds 23:18 - Is Speed the Moat? Continuous Improvement RL Loops 25:25 - The Messiness of Real-World Context vs. Static Evals 27:13 - Tool Search vs. Preloading Context Bloat 28:14 - Minimal Context Setups vs. Skill Maximalism 32:00 - The Lack of Portability Between AI Harnesses 34:25 - GPT-5.5 Low/Medium vs. Anthropic 4.7 Latency 38:10 - Tool Tinkering vs. Grabbing Off-The-Shelf Tech 39:11 - The Team's Current Model Stack (Vibe Check) 42:11 - Codex App: Mind-Blowing Background Computer Use 44:39 - Goal Mode vs. High-Level Orchestration Loops 48:23 - Success Story: Modding Zelda into VR Using Goal Mode 50:33 - Andrej Karpathy Joins Anthropic: Why Now? 52:30 - The Value of Co-location & The Bay Area Sparkle 55:00 - Impact Over Upside: Technologists Shaping Green Spaces 56:09 - The Mindset Shift: Transitioning to Agentic Engineering 58:30 - Auditing Your Threads & Finding Inefficiencies 01:00:27 - AI Automation as "Mana" for Your Life

GPT 5.5 is a coding BEAST, developing agents, and RIP Jobs | Ep 15

This episode explores the latest developments in AI models like GPT 5.5, their impact on workflows, trust, and the future of agent development. Featuring insights from industry experts, it covers model performance, rate limits, AI in enterprise, and practical tips for building effective AI agents. Links: Ray: https://www.youtube.com/@RayFernando1337 Eric: https://www.youtube.com/@pvncher Adam: https://www.youtube.com/@GosuCoder Chapters 00:00 Introduction to the Rate Limited Podcast 00:45 Exploring GPT 5.5: Features and User Experiences 04:28 Switching from Anthropic to GPT 5.5: User Insights 07:17 Trust and Performance: Comparing Models 10:45 Improving Code Quality with GPT 5.5 17:48 Utilizing Goal Mode for Long-Term Tasks 21:26 Anthropic and SpaceX: A New Partnership 25:32 The Future of AI Automation on Mac 30:51 The Impact of AI on Layoffs 36:35 Navigating the AI Landscape 41:45 The Role of Engineers in AI Development 49:23 Creating Engaging AI Agents 55:03 The Future of Agent Development

Opus 4.7 Feels Weird? Claude Design is Amazing & Cursor? | Ep 14

This episode explores the latest AI model updates, including Opus 4.7, Kimi 2.6, and the evolving landscape of AI in design, coding, and enterprise applications. The hosts discuss model performance, industry trends, and strategic moves like SpaceX's partnership with Cursor, providing insights into the future of AI development. Links: Ray: https://www.youtube.com/@RayFernando1337 Eric: https://www.youtube.com/@pvncher Adam: https://www.youtube.com/@GosuCoder Chapters 00:00 Introduction to the Podcast and Recent Developments 02:49 Exploring Opus 4.7: Impressions and Comparisons 05:58 The Art of Prompting: Strategies for Effective Use 08:57 Design Innovations: Claude Design and Its Impact 12:03 The Future of Design: AI's Role and Implications 15:00 Kimi 2.6: Performance and Comparisons with Other Models 22:17 Exploring Composer's Efficiency 25:19 Kimi 2.6 Performance Insights 30:44 The Impact of Tokenization on AI Models 33:15 Cursor and SpaceX: A Strategic Partnership 40:20 The Future of AI Coding Companies 46:24 The End of RooCode: Reflections on Community 46:32 The Evolution of AI Coding Practices 50:15 Navigating AI Engineering Workflows 56:24 Orchestrating AI Agents for Efficiency 01:02:00 The Future of AI in Development

Claude Code Leak! Rate Limits keep changing, and Building Agentic Systems | Ep 13

This episode covers recent developments in AI, including source code leaks, rate limit changes, and the future of agentic AI systems. Experts share insights on managing AI projects, building reliable agents, and navigating the evolving AI landscape. Links: Ray: https://www.youtube.com/@RayFernando1337 Eric: https://www.youtube.com/@pvncher Adam: https://www.youtube.com/@GosuCoder Chapters 00:00 Introduction to Rate Limits and Coding Challenges 01:36 The Cloud Code Source Leak Incident 07:05 Rate Limits and User Experience 11:59 Choosing the Right AI Tools for Coding 18:02 Building Agentic UIs and Architecture 22:34 Exploring Cloud Dispatch and Its Impact 31:07 Designing Agents Beyond Coding 40:22 Building Effective Agents for Business

GPT 5.4, NVIDIA GTC, AI Impact on the Job Market | Ep 12

This episode covers the latest in AI model releases, hardware advancements from NVIDIA at GTC, and the evolving landscape of AI's impact on jobs and software development. Experts share insights on GPT-5.4, inference hardware, and the future of AI-driven workflows. Links: Ray: https://www.youtube.com/@RayFernando1337 Eric: https://www.youtube.com/@pvncher Adam: https://www.youtube.com/@GosuCoder Chapters 00:00 Introduction to the Rate Limited Podcast 02:57 Exploring GPT 5.4: Features and Improvements 06:08 The Role of Planning in AI Coding 08:59 Context Management in AI Models 12:10 NVIDIA GTC Conference Insights 15:01 The Future of AI Inference and Hardware 17:52 DLSS 5: AI in Gaming Graphics 24:52 The Future of AI in Gaming and Film 25:58 Understanding Open-Claw Strategy 27:45 The Rise of Personal Agents 28:32 The Changing Landscape of Software Development 31:18 Craftsmanship vs. Automation in Software Engineering 36:07 Job Displacement and the Future of Work 41:10 Optimism in the Age of AI 50:29 Skills and Context Management in AI 54:00 The Future of AI Interaction