Ray Fernando, Adam (GosuCoder), and Nathan Snell are back on Rate Limited. Adam has Grok Bot logging into QuickBooks to run payroll for his side business and managing eBay and TCGPlayer accounts, while the crew digs into AI fatigue from too many bot messages, whether sub-agents or flat agents win in practice, and a blunt take on whether the engineering job market is cooked — plus hard-won advice for people just trying to break in.

Links
Ray Fernando: https://www.youtube.com/@RayFernando1337
Adam (GosuCoder): https://www.youtube.com/@GosuCoder

Chapters
00:00 Welcome to Rate Limited
01:10 Grok Bot is running Adam's payroll
02:17 Grok Bot cost, plans, and usage limits
04:34 Plugins, elder care, and the vault
06:23 Bot message fatigue
06:51 Orchestrating bots (meet Grocky)
08:48 Decision fatigue after AI-heavy days
11:40 Context switching vs real productivity gains
15:03 Why big companies struggle with AI
17:45 Betting on a conversational harness
21:56 Sub-agents vs flat agents
24:06 Wave engineering and task decomposition
28:08 Vertical harnesses, skills, and Conway's Law
30:36 Job market despair and generational luck
37:09 Early internet lessons: jobs lost vs created
40:58 Is the engineering job market cooked?
44:10 Mono apps, MCP, and what's next

Show notes / key topics
• Grok Bot for payroll (QuickBooks), eBay, and TCGPlayer
• Plan pricing, usage burn, and coding vs ops workflows
• Vault for credentials at runtime
• Bot inbox / decision fatigue and orchestrator bots
• Token spend vs productivity
• Sub-agents vs flat agents; wave engineering
• Conway's Law and org-shaped agent designs
• Engineering job market anxiety and adapting
• Mono apps, MCP, SMS/email agents

Tags
Rate Limited, Grok Bot, AI agents, sub-agents, flat agents, AI fatigue, decision fatigue, payroll automation, QuickBooks, job market, engineering jobs, AI native, harness engineering, Ray Fernando, GosuCoder, Nathan Snell, podcast, Ep 24

In this episode, the hosts explore the latest advancements in AI, including GPT models, game development in Claude, and the impact of AI on content creation and automation. They discuss practical applications, model performance, and the future of AI-driven workflows.

Links:
Ray: https://www.youtube.com/@RayFernando1337
Adam: https://www.youtube.com/@GosuCoder

Chapters

00:00 Introduction to AI advancements and topics
02:16 Exploring multiplayer game development and AI's role
03:22 Impressive AI-generated game visuals and physics in Sonnet 5.5
04:22 The significance of running AI in browsers and low-code environments
05:37 AI in world-building and simulation games
07:17 Father-son collaboration in game development and AI's educational potential
09:18 Impact of Astra and Opus 5.5 on game development and productivity
11:17 Using AI for rapid game prototyping and multiplayer features
12:24 AI's role in video editing and content automation
15:27 The shift from skills-based to model-based AI workflows
18:32 Ray's insights on Claude and Opus 5.5 models
20:51 AI for video editing and content repurposing
23:38 AI for automated content creation and social media clips
26:15 The future of AI models and cost considerations
27:51 The importance of collaborative AI development and speed
28:55 Discussion on AI tools like Grokbot, Muse, and others
31:16 Concerns about data privacy and tech accountability
33:23 The evolving landscape of AI models and local inference
40:45 Ray's experience with local models and hardware setup
43:34 Closing thoughts and future outlook on AI innovation

In this episode, Ray Fernando, Adam GosuCoder, and Nathan Snell explore the latest in AI tools like Grokbot, Astra, and Gemini models, sharing insights on how these innovations are transforming productivity, game development, and personal management.

Links:
Ray: https://www.youtube.com/@RayFernando1337
Adam: https://www.youtube.com/@GosuCoder

Dr. Eggbot: https://x.com/poteto/status/2094967827019243547?lang=en

In this episode, the panel discusses the latest developments in AI watermarking, attribution, and agentic runtimes, exploring their implications for security, privacy, and software development. They share insights on new models, tools, and the future of AI-driven workflows.

Links:
Ray: https://www.youtube.com/@RayFernando1337
Adam: https://www.youtube.com/@GosuCoder

key topics
AI watermarking and regulation
Attribution as a new form of AI tracking
Agentic runtimes and their role in automation
The latest AI models like GPT-5.6 and Claude 4.6
Open source AI community and hardware advancements
AI workflow orchestration and self-managing agents
Implications for security, privacy, and compliance
Future trends in AI development and deployment
Tools like Grok bot, Cursor, and Codex for automation
The philosophical and ethical considerations of AI autonomy

Chapters

00:00 - Intro: Welcome to the Rate Limited Podcast
00:47 - The Claude Watermarking Controversy
06:19 - Is AI Watermarking Just the Next Wave of Attribution?
11:31 - IDE Vibe Check: Why Ray is "Cursor Pilled"
15:32 - Why Nathan Switched Fully to GPT 5.6 Soul & Codex
18:19 - Building a Fully Automated Game Art Pipeline
22:23 - The Dream Project: A 100% Agent-Managed Codebase
24:18 - Deploying Specialized AI Teammates with Grokbot
28:32 - Testing the Grok Build CLI on Large Codebases
31:12 - Mind-Blowing Agentic Runtimes (The Atomic Framework)
36:55 - How to Lock Down Deterministic Tasks in a Non-Deterministic AI World
46:39 - Why Traditional AI Evals Don't Actually Work
49:31 - Local Hardware: Running DeepSeek V4 Flash on DGX Spark
53:02 - Outro & Community Shoutouts

We explore the future of AI, its impact on engineering, and how non-technical users are leveraging AI in everyday life. We discuss models like GPT-5.6, the importance of system thinking, and opportunities for solo entrepreneurs.

topics
AI model evolution and comparison (GPT-5.6, Claude, Grok 4.5)
The gap between technical and non-technical AI users
Opportunities for solo entrepreneurs in AI
System thinking and engineering best practices in AI development
Risks and safety considerations in AI code generation
Verticalization of AI applications across industries
The future of skills and AI in the workplace
AI fatigue and user experience design

Chapters

00:00 Introduction and overview of AI's impact on engineers
01:59 The gap between technical and non-technical AI users
03:56 AI in marketing and outside engineering
05:06 The importance of system thinking in AI development
08:10 Verticalization of AI applications across industries

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

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

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