Most recent episodes from podcasts in the development category.
12 Feb 2026
Truecar's "Motivated Buyers" project uses machine learning to analyze data and boost lead conversion rates, but faces challenges with AI definition, bias, and the importance of human oversight in AI-assisted tech.
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12 Feb 2026
Machine learning-based methods have revolutionized protein structure prediction and interaction modeling, with significant advancements in single-chain and multi-chain predictions, and efforts underway to replicate and improve these capabilities.
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12 Feb 2026
This podcast explores the functionality and evolution of Enterprise Resource Planning (ERP) systems, including AI's role in streamlining operations and making predictive analytics possible.
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The Changelog: Software Development, Open Source
11 Feb 2026
Agentic coding is transforming software development with AI-driven tools that quickly generate code, but also require careful verification and oversight.
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Syntax - Tasty Web Development Treats
11 Feb 2026
The podcast covers various software development topics, including AI-enhanced coding, web development techniques, and career growth strategies.
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11 Feb 2026
This podcast explores how fostering intrinsic motivation and flow leads to increased productivity and long-term career growth.
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11 Feb 2026
Software engineering has entered a new golden age of large-scale systems, but AI's influence while improving efficiency, cannot replace human creativity and decision-making, and requires oversight and accountability.
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11 Feb 2026
This episode of the podcast examines the next three years of AI development, its economic and competitive impacts, regulatory challenges, and potential social and professional disruptions.
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The podcast delves into the financial and strategic challenges of developing AI, exploring costs, competition, and future implications on regulation, employment, and expertise.
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10 Feb 2026
Software engineers must adopt new approaches to validation and reliability as AI tools become increasingly integrated with traditional engineering, requiring systematic prompt management and careful balancing of AI guidance to prevent over-reliance.
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