More Hanselminutes with Scott Hanselman episodes
Published 12 Feb 2026
Duration: 00:43:44
The podcast covers updates to TXTextControl's platform independence, OpenClaw's development challenges, and broader topics in AI, software development, and technological innovation.
Theres a new wave of AI tools that dont just live in the cloud, dont just autocomplete code, and dont just sit in a browser tab. They reach into your...
The podcast covers recent updates to TXTextControl, emphasizing its platform independence and cross-platform support for .NET applications. It also discusses the tool's integration with ASP.NET Core and Angular, demonstrated through a live example. The focus then shifts to OpenClaw, an open-source voice assistant project created by Peter Steinberger, inspired by Siri and Alexa. Developed on a Raspberry Pi, OpenClaw involves substantial technical challenges and has experienced rapid growth, though it faces hurdles with community expansion, security, and user expectations. The conversation delves into broader themes such as the balance between simplicity and complexity in software development, the importance of craftsmanship, and the difficulties of meeting community expectations. It also addresses user responsibility, the risks associated with one-click installations, and how modern tools have made complex systems easier to build. Additionally, the discussion explores the philosophical and ethical dimensions of AI, particularly the implications of designing systems with perceived personality and emotional engagement. The episode concludes by highlighting the real-world applications of AI in daily life and the role of creativity, playfulness, and community in technological innovation.
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TextControl's platform-agnostic .NET applications with Docker/Kubernetes/Azure deployment and ASP.NET Core/Angular integrations for document workflows, alongside explorations of internet history, AI advancements, legacy protocols, and IoT/home automation projects.
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TXTextControl's platform-agnostic .NET integration across Windows, Linux, and cloud environments, paired with AI-driven memory systems that boost scientific research efficiency, reduce token usage, and enable drug discovery and data analysis through cognitive engines balancing fast/slow thinking, dynamic memory storage, and knowledge-grounded outputs, while addressing challenges like token costs and hallucinations via lab-in-the-loop collaboration and future memory-driven problem-solving research.
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29 Jan 2026 Kinder Code Reviews with AI? with Qodo's Nnenna Ndukwe
Code reviews and AI-driven processes are evolving, emphasizing the importance of context and highlighting the need for responsible AI implementation to enhance software development workflows.