Software Engineering Daily

Software Engineering Daily

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Software Engineering Daily episodes

  • The Astro Framework with James Quick
    Frontend web frameworks are software toolkits that handle many of the low-level and repetitive aspects of building a website. These frameworks have made it easier than ever to build a modern website. The open-source Astro framework was created in 2021 for the purpose of creating simple static sites that load quickly. A key factor to
    45 min
  • Chronosphere with Martin Mao
    Observability software helps teams to actively monitor and debug their systems, and these tools are increasingly vital in DevOps. However, it’s not uncommon for the volume of observability data to exceed the amount of actual business data. This creates two challenges – how to analyze the large stream of observability data, and how to keep
    49 min
  • Open Source Contributing with Brian Douglas
    The open source coding philosophy has enormous appeal to many software engineers, and with good reason. Open source libraries, applications, and operating systems are now essential to the overall technology ecosystem. And the number of open source projects is only increasing. But many developers don’t know how to get involved in open source. Or, they
    49 min
  • Temporal with Max Fateev
    There are countless real world scenarios where a workflow or process has multiple steps, and some steps must be completed before others can be started. Think of something as simple as cooking dinner. First you look up a recipe, then you write down the ingredients you need, you go shopping, and then you cook. These
    42 min
  • Speechlab and Realtime Translation with Ivan Galea
    Speech technology has been around for a long time, but in the last 12 months it’s undergone a quantum leap. New speech synthesis models are able to produce speech that’s often indistinguishable from real speech. I’m sure many listeners have heard deep fakes where computer speech perfectly mimics the voice of famous actors or public
    45 min
  • Sourcegraph with Quinn Slack
    If you’re a developer, there’s a good chance you’ve experimented with coding assistants like GitHub Copilot. Many developers have even fully integrated these tools into their workflows. One way these tools accelerate development is by autocompleting entire blocks of code. The AI achieves this by having awareness of the surrounding code. It understands context. However,
    42 min
  • GitBook with Addison Schultz
    Documentation is something that everyone knows is important but it’s often difficult to get right. On software teams, good documentation can help to onboard new people, improve communication across teams, and troubleshoot technical issues. When an application, API, or library is a commercial product, the quality of its documentation can determine whether it attracts
    39 min
  • A Different Monitoring Philosophy with Costa Tsaousis
    Observability is becoming an increasingly competitive space in the software world. Many developers have heard of Datadog and New Relic, but there are a seemingly countless number of observability products out there. Costa Tsaousis (he/him) is the Founder and CEO of Netdata. His goal was to build an open-source platform that was high-resolution, real-time, and
    49 min
  • Building Pieces.app and the Future of Developer Productivity with Tsavo Knott
    Ongoing advances in generative AI are already having a huge impact on developer productivity. Tools like GitHub Copilot and ChatGPT are increasing the velocity of code development, and more advances are on the horizon. However, an ever-growing challenge for developers is how to manage their coding resources – things like code snippets, website links, messages,
    38 min
  • Streamlit with Amanda Kelly
    The importance of data teams is undeniable. Most companies today use data to drive decision-making on anything from software feature development to product strategy, hiring and marketing. In some companies data is the product, which can make data teams even more vital. But there’s a common problem – analyzing data is hard and time consuming.
    48 min

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Technical interviews about software topics.

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