Exploring Expert AI Agents: Definitions, Tools, and Real-world ApplicationsIn today's episode of Will AI Snap, Thad, hosts Michael Rollins and Thanos delve into the definition and construction of expert AI agents. They discuss essential components such as LLMs, RAG databases, and working memory. The conversation covers the importance of these agents in various applications, the evolving tech landscape, and the potential of adversarial models to improve AI accuracy. The episode also touches on Claude releasing its prompts and explores a recent, remarkable single-founder startup acquisition. The hosts wrap up by sharing personal anecdotes about their experiences with AI and development tools.00:00 Introduction and Welcome00:29 AI News and Updates01:21 Exploring Claude's Prompts04:58 Political Implications of AI06:34 Base 44 Acquisition by Wix11:26 Defining Expert AI Agents13:12 Components of Expert AI Agents18:55 Memory in AI Systems23:44 Challenges and Future of AI Agents27:50 Understanding User Interaction Loops29:02 Defining Autonomy in Agents32:13 Exploring JUULs: A Practical Example37:28 Challenges in Trusting AI Agents45:29 Future of AI in Software Engineering48:55 Closing Thoughts and Upcoming Plans

Exploring MCP Servers and AI-Assisted CodingIn today's episode, Michael Rollins and Thanos dive deep into the world of MCP servers and discuss how they can significantly enhance productivity and streamline coding workflows. They share personal experiences with various tools, including Claude and Stripe, and the transformative potential of AI in coding and daily productivity. The conversation touches on the challenges and benefits of setting up MCP servers, using memory servers like mem zero, and practical applications such as email and calendar management. Tune in to hear their insights on the evolving landscape of AI tools and their impact on software development.00:00 Introduction and Casual Banter02:46 Discussing MCP Servers04:26 Stripe MCP Server Experience09:22 Challenges with LLMs and Context Management11:53 Exploring Mem Zero and Context Management16:55 SEO and Generative Engine Optimization26:12 Personal MCP Server Setup28:02 Introduction to MCP Plugins28:19 Security Concerns with MCP Servers30:01 Exploring Useful MCP Servers32:55 Challenges with MCP Server Installation35:50 AI Tools for Code Moderation38:54 Using Mermaid for Code Visualization39:57 AI Code Foundry and Prompt Engineering45:38 Fun with AI and Grok49:23 Conclusion and Upcoming Events

Navigating the Future with AI: Balancing Innovation and Job SecurityIn this episode of 'Will AI Snap That?' Michael Rollins and co-host Thanos, along with special guest Jasper Sherman-Presser, dive into the multifaceted impact of AI on our future. They discuss the ethical dilemmas and existential questions surrounding AI's potential to replace human jobs, the importance of product and engineering roles, and whether AI will enhance or diminish the job market. The conversation touches on AI's decision-making capabilities, potential for a single-person billion-dollar company, and the continuing significance of human skills like teamwork and leadership. Join the conversation and explore whether AI leads us to a utopia or a dystopia.00:00 Welcome to 'Will AI Snap That?'00:30 Introducing Jasper Sherman Presser02:27 The Role of Product Managers03:06 Claude's Ethical Dilemma05:42 AI and Sentience Debate15:58 Human Creativity vs. AI21:36 The Future of Work with AI32:55 AI's Impact on Jobs and Resources34:04 Efficiency and Physical Constraints in AI35:37 Automation and Job Enhancement38:28 The Future of Entry-Level Jobs41:28 The Role of AI in Organizational Processes46:19 The One-Person Billion-Dollar Company51:58 The Potential and Challenges of AI01:01:12 Final Thoughts and Personal Reflections

In today's episode, Thanos and Rollins discuss the implications of discontinuing the production of pennies, explore new AI coding models like Claude Opus 4 and Sonnet 4, and delve into how AI can enhance contextual understanding for software engineers. They also examine the potential future of AI-driven productivity tools, including the Open Memory MCP server and the intersection of hardware and AI with initiatives like Meta's smart glasses. The show wraps up with a discussion on how AI could potentially streamline coding practices and impact the role of engineers.0:00 Introduction and Hosts0:24 The Death of the Penny1:49 AI and Paperclip Problem3:00 New AI Models: Claude Opus and Sonnet5:17 AI Persuasion and Security Concerns8:44 AI in Coding and IDE Extensions17:56 Voice Assistants and AI Glasses21:53 Impact of AI on Coding Workflows23:13 Exploring AI's Role in Code Optimization23:55 Challenges in Context Gathering for Engineers26:21 Leveraging AI for Contextual Understanding29:40 Open Memory: A Tool for Context Management35:25 The Future of AI in Software Engineering41:50 Concluding Thoughts and Future Prospects

In this episode, we talk about how AI can figure into engineering processes. Thanos brings the big-brain knowledge because, well, he's really good at this kind of stuff.

Claude FailuresHighlighting the dangers of reliance on AI, Rollins had a critical bug make its way to production. In today's episode, Thanos and Rollins discuss the evolving landscape of AI coding agents and their impact on the software development process. They delve into the challenges of ensuring code quality, including the importance of tests and architectural standards. The hosts share anecdotes about their own experiences with AI tools like Claude and Cursor, highlighting both the successes and humorous failures. They also touch on the broader implications of AI in team dynamics and software project management, setting the stage for future conversations on overcoming organizational hurdles.

In today's episode, Thanos and Rollins are joined by Colin Morris, the CEO of Proofline (proofline.ai), to discuss the future of AI in software engineering. Colin shares insights on the revolutionary impact of generative AI coding, emphasizing the need for guardrails to ensure safety and efficiency. They also delve into the potential of coding agents, the importance of observability, and the evolving role of site reliability engineers. The conversation explores how these advancements are set to transform the industry, providing both unprecedented opportunities and challenges.00:00 Introduction and Welcome00:57 Introducing Colin Morris03:46 Challenges and Risks in AI and Vibe Coding04:18 Experiments and Real-World Applications09:16 Future of Software Engineering and AI21:52 Complexity and Observability in AI Systems24:24 Rethinking Analytics and Observability25:17 Challenges in Debugging and Engineering Training26:38 The Evolution of Testing and Code Management28:35 The Role of Interfaces and Security in Modern Engineering32:49 The Power and Risks of Coding Agents37:41 The Future of Engineering and AI Integration41:11 Concluding Thoughts and Future Prospects

Fact-Checking AI: Jeff's Mission with Fox Checker | Will AI Snap That?Join hosts Michael Rollins and Thanos as they welcome Jeff Mahacek from Fox Checker. In this episode, Jeff dives into the world of AI, discussing the rampant misinformation and disinformation that pervades the digital landscape. He shares his journey of developing Fox Checker, a tool aimed at automated fact-checking and credibility analysis, and highlights the importance of truth in our society. With a mix of humor and insight, they explore how machine learning can verify facts and combat AI-generated falsehoods. Whether you're an AI enthusiast or a concerned individual, this episode sheds light on the pressing need for accuracy in our information-driven world.00:00 Introduction and Guest Introduction03:56 The Origins of Fox Checker05:16 Challenges with AI and Misinformation11:39 Evaluating Credibility and Claims23:06 The Role of Belief and Fact in Society32:18 The Importance of Distinguishing Belief from Fact34:38 The Role of AI in Evaluating Complex Information37:36 Understanding Machine Learning vs. Generative AI43:06 Challenges and Misconceptions of AI Capabilities51:54 Introducing Fox Checker: Ensuring Information Accuracy56:35 The Future of AI and Information Accuracy01:00:02 Concluding Thoughts and Reflections

In today's episode, hosts Michael Rollins and Thanos discuss their experiences and insights with various AI tools such as ChatGPT, Cursor, and Claude Code. They share the strengths and weaknesses of each tool, delve into specific use cases, and reflect on how the evolving role of AI is impacting the future of software engineering. Notable mentions include the advantages of Claude Chat for handling large pastes and images, Aero as an open-source alternative, and the potential applications of Google's Gemini for architectural discussions. They also touch on the emerging responsibilities engineers will face as AI becomes more integrated into software development.00:00 Introduction and Welcome01:56 Debating AI Tools: ChatGPT08:40 Exploring Cursor10:52 Cursor's Integration and Features20:41 Cursor Pricing Discussion22:34 Introduction to Claude Code26:42 Cost and Productivity with Claude Code30:10 Challenges and Limitations of Claude Code32:11 Honorable Mentions and Other Tools37:24 The Future of Engineering Roles43:22 Conclusion and Teaser for Next Episode

Exploring AI Coding Tools: A Deep Dive into Cursor and Coding AgentsIn today's episode, Thanos and Rollins discuss their experiences with AI coding tools, specifically Cursor and various coding agents. They share insights into creating applications, the challenges faced, and the benefits observed. Key topics include the process of leveraging AI for code generation, managing CSV imports, and the nuances of working with different AI models. They also touch on practical tips for effective prompt management, the importance of context windows, and the potential future of integrated AI in software development.00:00 Welcome to Will AI Snap That?00:37 Building an AI-Powered Grocery Chooser01:47 Challenges with Coding Agents06:11 Exploring CSV Import Automation08:25 The Role of Coding Agents in ETL15:13 Cursor's Performance and Limitations16:51 Dealing with Cursor's Quirks20:19 The Frustrations of Debugging with Cursor24:08 From Command Line to Web App24:33 Challenges with React and Next.js24:52 Database Woes and Prisma Migrations25:54 Managing Schemas and Types26:26 Cursor's Struggles and Solutions27:52 Exploring New Tools and Techniques31:58 Voice Commands and Super Whisper35:44 The Future of Coding with AI40:10 Final Thoughts and Reflections47:24 Closing Remarks