
How Coinbase scaled AI to 1,000+ engineers | Chintan Turakhia
2 Mar 2026
AI tools are transforming workflows and daily life through automation, personalization, and enhanced productivity.
Open episodeMost recent episodes from podcasts in the ai category.

2 Mar 2026
AI tools are transforming workflows and daily life through automation, personalization, and enhanced productivity.
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25 Feb 2026
A parent shares how AI tools, particularly Open Claw and Obsidian, automate and organize homeschooling and daily life management responsibilities.
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25 Feb 2026
Experts share strategies for successfully developing AI models by effectively managing context, security, and performance.
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25 Feb 2026
This podcast discusses the Bruin framework for improving AI development and control through open-source tools and infrastructure, with a focus on national sovereignty over AI systems and data.
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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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