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Description
Discussion about the latest news in the world of AI assisted coding.
11 Episodes
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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 qualityimpl...
In this episode of the Rate Limited podcast, hosts Ray Fernando, Adam Larson, and Eric discuss the latest AI model releases, including Opus 4.6 and Codex 5.3. They explore the implications of these advancements on coding practices, the emergence of swarm intelligence, and the challenges of managing multiple AI agents. The conversation also touches on the addictive nature of AI coding, the impact of AI on work-life balance, and the potential rise of AI spam in communication. The hosts emphasiz...
In this episode of the Rate Limited Podcast, hosts Ray, Adam, and Eric discuss the latest advancements in AI models and tools, including Codex, Opus, and Kimi K 2.5. They explore the intricacies of orchestration, task management, and the importance of security in AI applications. The conversation delves into the practical applications of these models in development and personal assistance, highlighting the balance between utility and risk. The hosts share their experiences and insights on usi...
In this episode of the Rate Limited podcast, hosts Ray Fernando, Adam Larson, and Eric Provencher dive deep into the latest advancements in AI, particularly focusing on Codex 5.2. They discuss user experiences, the steerability and speed of Codex, and the implications of the recent Claude crackdown on third-party agents. The conversation also explores the future of AI in software engineering, the innovative Ralph Loop approach, and the potential disruptions in various industries. The hosts em...
In this episode of the Rate Limited podcast, hosts Ray Fernando, Adam Larson, and Eric Provencher discuss the latest developments in AI, particularly focusing on GPT 5.2 and its implications for coding. They explore the rise of terminal UIs, the evolution of AI coding agents, and make predictions for 2026. The conversation also touches on the surprises of 2025 in AI labs, the potential for consumer AI, and the ongoing debate about whether we are in an AI bubble. The hosts reflect on their exp...
In this episode of the Rate Limited podcast, hosts Ray Fernando, Eric P, and Adam Larson discuss the latest advancements in AI models, focusing on Opus 4.5 and its performance compared to other models like Gemini 3 Pro. They explore the importance of context engineering, the impact of MCPs, and techniques for effective prompting. The conversation also delves into the use of AI in software engineering, particularly in code analysis and GitHub integration, while sharing personal experiences and...
In this episode of the Rate Limited podcast, hosts Ray Fernando and Eric, along with guest Adam Larson, dive deep into the latest developments in AI coding models, including updates on Codex, GPT 5.1, Gemini 3, and Opus 4.5. They discuss the performance of these models, their applications in real-world coding scenarios, and the challenges faced by developers working with legacy code. The conversation also touches on insights from the AI Native DevCon, highlighting the complexities of integrat...
Codex has introduced significant changes that affect its usability with external tools. The truncation of context in Codex has raised concerns among users. Claude's handling of context and contradictions is seen as superior to Codex. Chinese AI models are gaining traction and are being compared to Western models. User experiences with various AI models highlight the importance of context management. The competition among AI models is intensifying, with open-source models becoming more viable....
Summary In this episode, the hosts discuss the latest features of Cursor 2.0, its positioning in the market compared to other coding agents, and the implications of AI on job markets. They explore the evolution of coding agents, the impact of teleoperation in robotics, and the future of AI in everyday life. The conversation also touches on community engagement and the potential for live shows. Takeaways Cursor 2.0 introduces an agent workflow focused on prompting. The speed and flow of Cu...
Summary In this episode of the Rate Limited podcast, hosts Ray Fernando, Adam (GosuCoder), and Eric Provencher dive into the implications of free AI agents, discussing the hidden costs associated with data privacy and sustainability. They explore the performance of Haiku 4.5 compared to Sonnet 4.5, the dynamics of ad targeting in the AI market, and the importance of effective planning and execution in AI models. The conversation also touches on retrieval techniques, the future of AI agents, ...
Keywords AI models, Sonnet, GPT-5, benchmarking, coding assistants, user experience, reasoning, bug fixing, community engagement, AI trends Summary In this episode of Rate Limited, the hosts discuss the latest developments in AI models, focusing on benchmarking Sonnet and GPT-5. They explore the nuances of model behavior, context windows, and real-world testing, particularly in bug fixing. The conversation highlights user experiences, challenges, and the importance of reasoning in AI mode...
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