What the Dev?

SD Times

What the Dev? is a podcast by the SD Times editorial team. We cover the biggest and newest topics in software development.

  1. 4日前

    361: The AI Adoption Maturity Model (With Ipek Ozkaya of CMU SEI)

    Dave and Ipek Ozkaya discuss the AI adoption maturity model created by Carnegie Mellon's Software Engineering Institute and Accenture. The model addresses issues like mismatched expectations, untested implementations, and misaligned applications that hinder AI investment returns. It includes eight core dimensions: organizational change, workforce and culture, workflow reengineering, risk and governance, data engineering, operations, technology ecosystem, and AI lifecycle engineering. The model progresses from exploratory AI to scaled AI, emphasizing the importance of strategic alignment, workflow reengineering, and ecosystem partnerships.

    361: The AI Adoption Maturity Model (With Ipek Ozkaya of CMU SEI)

  2. 6月30日

    360: How do you nurture junior developers in an AI world? (With Barun Singh of Andela)

    SD Times editor-in-chief Dave Rubinstein and Barun Singh of tech talent company Andela discuss the impact of AI on nurturing future developers. Singh emphasizes that while AI automates coding basics, core knowledge and critical thinking are still essential. He highlights the importance of code review, planning, and security, which require senior experience. Singh believes colleges should focus on foundational knowledge, and boot camps remain relevant due to their immersive learning approach. He notes a shift towards retraining existing talent rather than just recruiting new workers.

    360: How do you nurture junior developers in an AI world? (With Barun Singh of Andela)

  3. 6月23日

    359: The Enduring Popularity of Postgres, and what lies ahead (With Snowflake's Craig Kerstiens)

    In this episode, David Rubinstein talks with Craig Kerstiens, Snowflake's Director of Software Engineering on Postgres, about the enduring popularity of Postgres, a 30-year-old database technology, due to its reliability and recent innovations like JSON support and vector store databases. He highlighted the challenge of integrating operational (OLTP) and analytical (OLAP) data for AI applications, noting the importance of reducing latency and operational burden. Kerstiens introduced PG Lake, an open-source tool that embeds Iceberg in Postgres, simplifying data movement and querying. He also mentioned Snowflake's mirroring feature and the future of Postgres, emphasizing its continuous improvement and extension ecosystem.

    359: The Enduring Popularity of Postgres, and what lies ahead (With Snowflake's Craig Kerstiens)

  4. 6月16日

    358: The limitations of AI models in understanding context (With Jonathan Macoskey)

    Dave Rubinstein and Jonathan Macoskey discuss the limitations of current AI models in understanding context, particularly in enterprise settings. Macoskey explains that while language models have improved with internet connectivity, they still struggle with outdated information and proprietary data. He highlights Lovelace's context engine, which integrates data from various sources into a knowledge graph, addressing issues like entity resolution and recall. This system ensures AI agents can provide accurate, cited information, enhancing trust and decision-making. The conversation also touches on the challenges of scaling large language models and the importance of grounding AI responses in reliable data.

    358: The limitations of AI models in understanding context (With Jonathan Macoskey)

  5. 6月2日

    357: Why is REST connectivity still hard? (With Kumar Vikesh)

    Dave Rubinstein, Editor in Chief of SD Times, discusses with Kumar Vikesh, Senior Product Owner at Progress Data Direct, the challenges of REST connectivity and the introduction of an AI-driven solution to automate the creation of model files for the Autonomous REST Connector. Progress Data Direct offers a standard connectivity platform with over 60 connectors and 100 data sources. The new AI-driven approach uses three agents: a generator, validator, and launcher, to create, validate, and test REST model files, reducing manual effort from days to hours. The solution is currently in an early access program, with plans for future general availability and integration with Visual Studio Code.

    357: Why is REST connectivity still hard? (With Kumar Vikesh)

  6. 5月26日

    356: REPRESENTATIVE!!! The State of Real-Time Voice AI Technology (With Mike Pappas)

    Dave discusses real-time voice AI with Mike Pappas, CEO of Modulate. Pappas explains that voice AI involves three key technologies: speech-to-text, language models, and text-to-speech. This technology is valuable in detecting fraud, ensuring policy adherence, and routing calls efficiently.

    356: REPRESENTATIVE!!! The State of Real-Time Voice AI Technology (With Mike Pappas)

  7. 5月14日

    355: Managing costs and ROl of agentic Al initiatives (With John D'Emic)

    In this episode, Dave speaks with John D'Emic, cofounder and CTO at Revenium, about the challenges organizations face in managing costs and ROI of agentic AI initiatives. John explains that the transition from pre-production to production often reveals gaps in economic visibility, leading to "agent debt" due to unanticipated costs from API calls and tool usage.

    355: Managing costs and ROl of agentic Al initiatives (With John D'Emic)

  8. 5月5日

    354: Challenges and Misconceptions around Vibe Coding (With Cameron Etezadi)

    In this episode with Dave Rubinstein, Cameron Etezadi, CTO of LaunchDarkly, discussed the challenges and misconceptions around Vibe coding. He highlighted that while code production has sped up, confidence in the quality of the code has decreased, with 91% of customers being less confident.  He noted that 94% of customers are shipping more code but struggle with validation and quality. He noted that 94% of customers are shipping more code but struggle with validation and quality.

    354: Challenges and Misconceptions around Vibe Coding (With Cameron Etezadi)
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番組について

What the Dev? is a podcast by the SD Times editorial team. We cover the biggest and newest topics in software development.

情報

  • クリエイター
    SD Times
  • 配信期間
    19年 - 26年
  • エピソード
    361
  • 制限指定
    不適切な内容を含まない
  • Copyright
    © 2026 What the Dev?
  • 番組のWebサイト
    What the Dev?

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