Most recent episodes from podcasts in the ai category.
23 Feb 2026
AI-assisted coding tools are being integrated into B2B SaaS design processes to enable early issue detection, rapid prototyping, and streamlined development workflows.
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18 Feb 2026
Leadership styles need to shift towards empathy and authenticity to drive effectiveness, particularly in hybrid work environments and an increasingly AI-driven world.
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17 Feb 2026
Agentic development uses AI agents to automate software tasks, shifting the focus to speed and intent-driven specifications while relying on context management to achieve accurate results.
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16 Feb 2026
Joe McCormick adapts to his vision impairment caused by Leber's hereditary optic neuropathy by leveraging AI tools, including a Slack summary Chrome extension and coding tools like Claude Code and VS Code, to improve accessibility and efficiency in his work and daily life.
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15 Feb 2026
Current AI app development trends are hindered by challenges such as vendor lock-in, unclear value creation, and limited understanding of AI behavior, but open-source tools like OpenLit can help address these issues.
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13 Feb 2026
Experts highlight the need for robust AI safety measures, including developing methods to catalog and prevent AI incidents, and using data and third-party audits to identify and address flaws.
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11 Feb 2026
Recent advancements in AI coding models, including OpenAI's Codex and Anthropic's Opus 4.6, are discussed in the context of their effectiveness and limitations in software development.
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10 Feb 2026
The shift in software interaction toward AI-native tools enhances user experiences, with emerging observability tools and agents streamlining troubleshooting and making insights more accessible.
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9 Feb 2026
A speaker outlines a workflow for creating a personal AI tool ecosystem, using Claude and other tools to generate UI mockups, flowcharts, and code, enhancing individual efficiency and code quality.
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A podcast delves into Voice AI complexities, introducing an approach that leverages specialized models for efficiency, accuracy, and scalability in addressing emotional and contextual nuances in human speech.
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