Category: development Episodes

Most recent episodes from podcasts in the development category.

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No Priors - AI, Technology, Startups

Amex Global Business Travel: The Worlds First AI Take Private with Long Lake CEO Alexander Taubman

11 May 2026

An AI-driven business strategy acquires companies like American Express Global Business Travel, leverages the Nexus platform to automate workflows and enhance productivity, prioritizes long-term growth through rapid AI integration, and contrasts with traditional private equity by focusing on operational excellence and scalable transformation in service sectors.

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Podcasts by InfoQ

From Java EE to Quarkus and LLMs: Adam Biens Playbook for Boring, FutureProof Systems

11 May 2026

A veteran Java developer highlights preferences for minimal dependencies, critiques enterprise Java's complexity, advocates for Quarkus' lightweight design over Spring, emphasizes Java EE standards, legacy BCE patterns, and Java's stability in AI/LLM integration and cloud challenges.

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CoRecursive: Coding Stories

The Pre-Training Wall and the Treadmill After It

9 May 2026

The evolution of large language models from early tools to advanced systems like "Spud" is examined, critiquing computational scaling's sustainability, exploring open-source vs. corporate control, and addressing challenges in pre-training limitations, synthetic data reliance, and AI profitability in a rapidly advancing industry.

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MLOps.community

Building MCP Before MCP Existed: Inside Despegar's Sofia Agent

8 May 2026

Sophia, an AI-powered travel concierge using a multi-agent system and decentralized collaboration, aims to streamline bookings, in-trip services, and personalized experiences through AI-driven automation, chat/voice interfaces, and orchestration layers, while expanding capabilities and reducing friction in travel processes.

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Dev Interrupted

Goblins in prod, the messy middle of AI adoption, and everything is a harness now

8 May 2026

AI development challenges include NFT-based identities, avatar integration, data leakage issues like "Goblin Invasion," risks of bias in retraining, agent misalignment, workforce disparities, open-source frameworks like Lattice, lightweight tools, and the need for systemic safeguards to address technical and organizational deployment hurdles.

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Goto tech

Java Cookbook Ian Darwin & Jeanne Boyarsky

8 May 2026

Java's evolution through features like Records and Switch Expressions, career transitions from Fortran, integration with R for data analysis, AI's role in coding, structured learning resources, open-source contributions, and concerns about AI's impact on education and intellectual property are explored.

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Engineering Culture by InfoQ

The AI Joy Gap: Why Some Developers Thrive While Others Struggle

8 May 2026

Scaling AI from concept to production faces challenges from legacy systems causing poor code quality, polarized developer experiences, the need for better validation tools, knowledge silos from custom AI systems, and cultural barriers, while redefining roles and balancing speed, trust, and collaboration for future-ready development.

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The TWIML AI Podcast

How to Find the Agent Failures Your Evals Miss with Scott Clark

7 May 2026

Distributional employs post-production analytics, unsupervised learning, and LLMs to analyze agent traces, detect patterns and anti-patterns like hallucinations, address distributional shifts, and generate actionable insights for AI system refinement in security and enterprise settings, emphasizing adaptive analytics and domain expertise.

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Giant Robots

610: Its Okay Not to Use AI

7 May 2026

A critical examination of software development in publishing, emphasizing ethical technology practices, the limitations of AI in productivity and environmental impact, the necessity of human-centric design, code quality, and the dangers of outsourcing and overreliance on emerging technologies.

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Software Engineering Radio

Birol Yildiz on Building an Agentic AI SRE

6 May 2026

AI agents in SRE leverage autonomous decision-making, agentic search, and lightweight architectures to replace static runbooks, balancing autonomy with reliability challenges, context management, and human oversight in dynamic environments.

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