Category: development Episodes

Most recent episodes from podcasts in the development category.

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Syntax - Tasty Web Development Treats

1009: 54% AI-Generated and Climbing State of AI

1 Jun 2026

A survey highlights rising AI adoption in web development, with 18% of developers using AI to write 75% of their code, mixed perceptions of its quality, prominence of ChatGPT and emerging tools like Claude/Gemini, enterprise integration trends, challenges like tool costs and unclear "local model" misconceptions, and ongoing debates about job displacement, creativity, and software quality.

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Podcasts by InfoQ

Requirements Analysis for Architects: A Conversation with Sonya Natanzon

1 Jun 2026

Architects must balance technical and business priorities, prioritize user satisfaction and organizational goals, navigate communication challenges, apply domain-driven design principles, address AI's impact on software development, and adapt to evolving technologies while emphasizing creativity and strategic alignment.

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MLOps.community

AI Is Fast. AI Projects Are Slow. Let's Fix That.

29 May 2026

AI reshapes software engineering by shifting to AI-integrated workflows, demanding balance between efficiency and productivity, maintaining code quality, mastering new tools like RocketRide, ensuring observability, and managing integration complexities across models and pipelines.

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Dev Interrupted

The cost of intelligence will never be this cheap again, the failure of intensive specs, and how bots disguise inefficient workflows

29 May 2026

Evolving AI trends highlight model updates, shifts toward local deployment to cut cloud costs, challenges in AI quality and governance, and the need for strategic model routing, infrastructure improvements, and collaboration between AI and human expertise.

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Goto tech

Spec-Driven Dev Is Back. But Not How You Think Daniel Terhorst-North & Gojko Adzic

29 May 2026

The text critiques rigid, static spec-driven development, advocating for iterative, feedback-driven processes with human-centric design, guardrails, and domain-specific automation to address AI and tooling limitations in code quality and readability.

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Refactoring Podcast

The Future of Engineering with James Stanier

29 May 2026

The text discusses how AI and automation are reshaping software engineering roles by prioritizing functional outcomes over craftsmanship, redefining management through technical adaptability, highlighting challenges in remote collaboration, and exploring the evolving value of code from artisanal work to idea-driven solutions amid emotional and professional transitions.

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Latent Space

The Age of Async Agents Cognition's Walden Yan & OpenInspect's Cole Murray

28 May 2026

The evolution of AI agent development shifts toward autonomous workflows via tools like Devin for code generation and OpenInspect for cloud management, addressing growth, infrastructure challenges, security, scalability, enterprise adoption, open-source initiatives, diverse non-engineering use cases, and the role of human oversight in AI-native coding.

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MLOps.community

Architecting Modern AI Systems: Platforms, Agents, and Integration

28 May 2026

Modern AI architecture, infrastructure challenges, open-source vs. proprietary models, and safety-critical conversational agents for mental health via Bell and Kids Help Phone's hackathon, alongside GPU efficiency, scalable frameworks, and balancing innovation with control in deployment.

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Beyond Coding

Addy Osmani: Don't Lose Your Engineering Identity Working With AI Agents

28 May 2026

Agent harnesses enable AI-driven automation but require governance, risk management, and balanced oversight to address autonomy challenges, cognitive debt, and innovation trade-offs in development.

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No Priors - AI, Technology, Startups

Building an AI Guardian for Enterprise with Onyx Security CEO Maxim Bar Kogan

28 May 2026

Autonomous AI agents pose significant enterprise risks like data leaks and insecure deployments, demanding specialized security oversight, real-time verification, and robust infrastructure to address unmonitored behavior, AI alignment challenges, and evolving technological adoption gaps.

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