Rate Limited

Adam/Eric/Ray

Discussion about the latest news in the world of AI assisted coding.

  1. -4 j

    Fable jailbreak, PRD's are dead, Does anyone know what a Skill actually is suppose to be? | Ep 18

    In this episode, industry experts discuss the latest in AI advancements, including the Fable Five jailbreak, SpaceX's acquisition of Cursor, and evolving software development practices. They explore how AI is transforming workflows, the importance of verification, and the future of AI-powered tools for both technical and non-technical users. Links: Ray: https://www.youtube.com/@RayFernando1337 Adam: https://www.youtube.com/@GosuCoder key topics AI advancements and implications Fable Five jailbreak and security concerns SpaceX's acquisition of Cursor and product announcements The shift from traditional PRDs to prototypes in product management The role of verification and success criteria in AI development The concept of skills, harnesses, and agents in AI workflows The impact of rapid software updates and UI changes on user experience The importance of focused versus generic AI harnesses The future of AI tools for both technical and non-technical users Chapters 00:00 Introduction to the Rate Limited Podcast 01:00 Exploring Fable Five and Its Implications 05:02 The Future of Product Requirements Documents (PRDs) 09:55 SpaceX's Acquisition of Cursor and Its Impact 14:44 The Evolution of Skills and Harnesses in AI 26:24 The Ease of Use in Technology 29:21 Understanding the Software Factory Concept 32:32 The Evolution of Startups and Software Development 37:40 The Impact of Rapid Changes in Software Interfaces 40:33 The Challenge of Automation vs. Human Efficiency 44:49 The Excitement of Innovation and Future Possibilities

    48 min

  2. 12 juin

    Fable 5 is taking over, AI isn't getting cheaper, AI backup plan and WTF Loops? | Ep 17

    In this episode, we explore the latest developments in AI, including cost dynamics, looping strategies, and the impressive capabilities of models like Fable 5. We  discuss operational challenges, the future of AI-driven software factories, and how to navigate this rapidly evolving landscape. Links: Ray: https://www.youtube.com/@RayFernando1337 Adam: https://www.youtube.com/@GosuCoder Eric: https://www.youtube.com/@pvncher Chapters 00:00 Introduction to Rate Limited Podcast 01:35 The Cost of AI: A Nuanced Discussion 07:40 Token Maxing and ROI in AI Usage 16:04 The Evolution of AI: From Prompts to Loops 19:09 The Value of Proactive AI Engagement 22:48 Exploring Fable Five: A New Frontier in AI 26:51 Diverse Perspectives on AI Models 30:54 Future of Work in an AI-Driven World

    37 min

  3. 22 mai

    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

    1 h 2 min

  4. 8 mai

    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

    1 h

  5. 24 avr.

    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

    1 h 8 min

  6. 4 avr.

    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

    50 min

  7. 22 mars

    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

    56 min

  8. 28 févr.

    New Models! Gemini 3.1, Composer 5.1, Code Disposability, Reducing AI Slop | Ep 11

    This episode covers the latest developments in AI models from Google, Anthropic, and others, exploring their capabilities, limitations, and implications for developers and the industry. The hosts share insights on model stability, speed, safety, and the future of AI in coding and business. Google Gemini 3.1 updates and stability issuesThe impact of model speed and inference hardwareModel distillation and intellectual property concernsThe role of AI in software engineering and code qualityimplications of AI model developmentChapters 00:00 Introduction to AI Models and Recent Developments 01:05 Exploring Google's Gemini 3.1 and User Experiences 04:52 Strengths and Weaknesses of AI Models in Development 09:37 Cerebris and Spark: Speed vs. Context in AI Models 17:29 Anthropic's Claims and Geopolitical Implications in AI 27:37 The Future of AI Development and Safety Concerns 28:06 The Evolution of AI in Code Generation 29:02 Managing Automated Code in Large Companies 30:49 The Disposability Principle in Code Design 32:37 Balancing Code Stability and Disposability 34:29 Navigating Complexity in AI-Generated Code 36:55 The Role of AI in Code Review and Development 40:40 The Future of AI and Human Collaboration in Coding 45:45 The Changing Landscape of Software Engineering 50:04 The Demand for Software Engineers in an AI World

    59 min
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Discussion about the latest news in the world of AI assisted coding.

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  • Création
    Adam/Eric/Ray
  • Années d’activité
    2025 - 2026
  • Épisodes
    18
  • Classification
    Tous publics
  • Copyright
    © 2026 Rate Limited
  • Site web de l’émission
    Rate Limited
  • Fournisseur

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