Developer Voices

Kris Jenkins
  • 5.0（28則評分）
  • 科技
  • 每週更新

Deep-dive discussions with the smartest developers we know, explaining what they're working on, how they're trying to move the industry forward, and what we can learn from them. You might find the solution to your next architectural headache, pick up a new programming language, or just hear some good war stories from the frontline of technology. Join your host Kris Jenkins as we try to figure out what tomorrow's computing will look like the best way we know how - by listening directly to the developers' voices.

  1. 7月17日

    Beyond AI Hype, What Will Developers Actually Use? (with Zach Lloyd)

    If AI coding tools are here to stay, what form will they take? How will we use them? Will they be just another window in our IDE, will they push their way to the centre of our development experience, displacing the editor? No one knows, but Zach Lloyd is making a very interesting bet with the latest version of Warp. In this deep dive, Zach walks us through the technical architecture behind agentic development, and how it's completely changed what he & his team have been building. Warp has gone from a terminal built from scratch, to what they're calling an "agentic development environment" - a tool that weaves AI agents, a development, a shell and a conversation into a single, unified experience. This may be the future or just one possible path; regardless it's a fascinating glimpse into how our tools might reshape not just how we code, but how we experience programming itself. Whether you're all-in on agentic coding, a skeptic, or somewhere in between, AI is here to stay. Now's the time to figure out what form it's going to take. # Support Developer Voices - Patreon: https://patreon.com/DeveloperVoices - YouTube: https://www.youtube.com/@DeveloperVoices/join -- Episode Links - Warp Homepage: https://warp.dev/ - Warp Pro Free Month (promo code WARPDEVS25): https://warp.dev/ - Previous Warp Episode: https://youtu.be/bLAJvxUpAcg - SWE-bench: https://www.swebench.com/ - TerminalBench: https://github.com/microsoft/TerminalBench - Model Context Protocol (MCP): https://modelcontextprotocol.io/ - Claude Code: https://claude.ai/code - Anthropic Claude: https://claude.ai/ - VS Code: https://code.visualstudio.com/ - Cursor: https://cursor.sh/ - Language Server Protocol (LSP): https://microsoft.github.io/language-server-protocol/ # Connect - Zach on LinkedIn: https://www.linkedin.com/in/zachlloyd/ - Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social - Kris on Mastodon: http://mastodon.social/@krisajenkins - Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

    1 小時 18 分鐘

  2. 7月4日

    The $500 Billion Integration Problem, And One Possible Solution (with Marty Pitt)

    Ever wondered why data integration is still such a nightmare in 2025? Marty Pitt has built something that might finally solve it. TaxiQL isn't just another query language - it's a semantic layer that lets you query across any system without caring about field names, API differences, or where the data actually lives. Instead of writing endless mapping code between your microservices, databases, and APIs, you describe what your data *means* and let TaxiQL figure out how to get it. In this conversation, Marty walks through the “All Powerful Spreadsheet” moment that sparked TaxiQL, how semantic types work in practice, and why this approach might finally decouple producers from consumers in large organizations. We dive deep into query execution, data lineage, streaming integration, and the technical challenges of building a system that can connect anything to anything. If you've ever spent months mapping fields between systems or maintaining brittle integration code, this one's for you. – Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join – TaxiLang Homepage: https://taxilang.org/ TaxiLang Playground: https://playground.taxilang.org/examples/message-queue-and-database Taxi Lang GitHub repository: https://github.com/taxilang/taxilang OpenAPI Specification (formerly Swagger): https://swagger.io/specification/ YOW! Conference - Australian software conference series: https://yowconference.com/ Spring Framework Kotlin support: https://spring.io/guides/tutorials/spring-boot-kotlin/ Ubiquitous Language (DDD Concept): https://martinfowler.com/bliki/UbiquitousLanguage.html Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/ – 0:00 Intro

    1 小時 32 分鐘

  3. 6月19日

    Making Software Crash Before It Breaks (with Isaac Van Doren)

    At 23, Isaac is already jaded about software reliability - and frankly, he's got good reason to be. When your grandmother can't access her medical records because a username change broke the entire system, when bugs routinely make people's lives harder, you start to wonder: why do we just accept that software is broken most of the time? Isaac's answer isn't just better testing - it's a whole toolkit of techniques working together. He's advocating for scattering "little bombs" throughout your code via runtime assertions, adding in the right amount of static typing, building feedback loops that page you when invariants break, and running nightly SQL queries to catch the bugs that slip through everything else. All building what he sees as a pyramid of software reliability. Weaving into that, we also dive into the Roc programming language, its unique platform architecture that tailors development to specific domains. Software reliability isn’t just about the end user experience - Roc feeds in the idea we can make reliability easier by tailoring the language domain to the problem at hand. – Isaac’s Homepage: https://isaacvando.com/ Episode on Property Testing: https://youtu.be/wHJZ0icwSkc Property Testing Walkthrough: https://youtu.be/4bpc8NpNHRc Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Isaac on LinkedIn: https://www.linkedin.com/in/isaacvando/ Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

    57 分鐘

  4. 6月5日

    Making Apache Kafka Diskless (with Filip Yonov & Josep Prat)

    How do you retrofit a clustered data-processing system to use cheap commodity storage? That’s the big question in this episode as we look at one of the many attempts to build a version of Kafka that uses object storage services like S3 as its main disk, sacrificing a little latency for cheap, infinitely-scalable disks. There are several companies trying to walk down that road, and it’s clearly big business - one of them recently got bought out for a rumoured $250m. But one of them is actively trying to get those changes back into the community, as are pushing to make Apache Kafka speak object storage natively. Joining me to explain why and how are Josep Prat and Filip Yonov of Aiven. We break down what it takes to make Kafka’s storage layer optional on a per-topic basis, how they’re making sure it’s not a breaking change, and how they plan to get such a foundational feature merged. – Announcement Post: https://aiven.io/blog/guide-diskless-apache-kafka-kip-1150 Aiven’s (Temporary) Fork, Project Inkless: https://github.com/aiven/inkless/blob/main/docs/inkless/README.md Kafka Improvement Process (KIP) Articles: KIP-1150: https://cwiki.apache.org/confluence/display/KAFKA/KIP-1150%3A+Diskless+Topics KIP-1163: Diskless Core: https://cwiki.apache.org/confluence/display/KAFKA/KIP-1163%3A+Diskless+Core KIP-1164: Topic Based Batch Coordinator: https://cwiki.apache.org/confluence/display/KAFKA/KIP-1164%3A+Topic+Based+Batch+Coordinator KIP-1165: Object Compaction for Diskless: https://cwiki.apache.org/confluence/display/KAFKA/KIP-1165%3A+Object+Compaction+for+DisklessSupport Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Filip on LinkedIn: https://www.linkedin.com/in/filipyonov Josep on LinkedIn: https://www.linkedin.com/in/jlprat/ Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

    1 小時 29 分鐘

  5. 5月23日

    Java's Cutting Edge Comeback (with Josh Long)

    Java’s has been evolving faster than any 30 year old language has a right to do, and there’s probably no-one more pleased about it than my guest this week - Josh Long. He’s a Java & Kotlin programming, a JVM enthusiast in general, and an advocate for Spring, and he has chapters full of news about what’s been happening in Javaland over the past few years. Everything from new threading models to C interop changes, custom primitives to high performance computing and all the ways in which Java is modernising for age of AI workloads. If you’re out of touch with the latest in the JVM, or don’t know how much its changed, Josh’s brain is full of all the news you need to catch up. – Project Valhalla (Value Objects): https://openjdk.org/projects/valhalla/ Project Panama (JVM’s new native code support): https://openjdk.org/projects/panama/ Jextract: https://github.com/openjdk/jextract Spring Initializer: http://start.spring.io/ Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

    1 小時 24 分鐘

  6. 5月8日

    The State & Future of Apache Kafka (with Anatoly Zelenin)

    I’m joined this week by one of the authors of Apache Kafka In Action, to take a look at the state of Kafka, event systems & stream-processing technology. It’s an approach (and a whole market) that’s had at least a decade to mature, so how has it done? What does Kafka offer to developers and businesses, and which parts do they actually care about? What have streaming data systems promised and what have they actually delivered? What’s still left to build? – Apache Kafka in Action: https://www.manning.com/books/apache-kafka-in-action Pat Helland, Data on the Inside vs Data on the Outside: https://queue.acm.org/detail.cfm?id=3415014 Out of the Tar Pit: https://curtclifton.net/papers/MoseleyMarks06a.pdf Martin Kleppmann, Turning the Database Inside-Out: https://martin.kleppmann.com/2015/11/05/database-inside-out-at-oredev.html Data Mesh by Zhamak Dehghani: https://www.amazon.co.uk/Data-Mesh-Delivering-Data-Driven-Value/dp/1492092398 Quix Streams: https://github.com/quixio/quix-streams XTDB: https://xtdb.com/ Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Anatoly’s Website: https://zelenin.de/ Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/ Kris on Twitter: https://twitter.com/krisajenkins

    1 小時 12 分鐘

  7. 4月25日

    DataFusion - The Database Building Toolkit (with Andrew Lamb)

    Building a database is a serious undertaking. There are just so many parts that you have to implement before you even get to a decent prototype, and so many hours of work before you could begin working on the ideas that would make your database unique. Apache DataFusion is a project that hopes to change all that, but building an extensible, composable toolkit of database pieces, which could let you build a viable database extremely quickly, and then innovate from that starting point. And even if you’re not building a database, it’s a fascinating project to explain how databases are built. Joining me to explain it all is Andrew Lamb, one of DataFusion’s core contributors, and he’s going to take us through the whole stack, how it’s built and how you could use it. Along the way we cover everything from who’s building interesting new databases and how you manage a large, open-source Rust project. – DataFusion Homepage: https://datafusion.apache.org/ DataFusion on Github: https://github.com/apache/datafusion DataFusion Architecture (with diagrams!): https://youtu.be/NVKujPxwSBA?si=tw9ACxlbdpBuVsnv&t=1045 Datalog: https://docs.racket-lang.org/datalog/ Tokio: https://tokio.rs/ Andrew’s Homepage: http://andrew.nerdnetworks.org/ Andrew’s Blog Post about Tokio: https://thenewstack.io/using-rustlangs-async-tokio-runtime-for-cpu-bound-tasks/ Velox: https://velox-lib.io/ Arroyo: https://www.arroyo.dev/ Synnada: https://www.synnada.ai/ LanceDB: https://lancedb.com/ SDF+DBT: https://docs.sdf.com/integrations/dbt/integrating Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

    1 小時 32 分鐘

  8. 4月10日

    Jupyter's Architecture Unpacked (with Afshin Darian & Sylvain Corlay)

    Jupyter’s become an incredibly popular programming and data science tool, but how does it actually work? How have they built an interactive language execution engine? And if we understand the architecture, what else could it be used for? Joining me to look inside the Jupyter toolbox are Afshin Darian and Sylvain Corlay, two of Jupyters long-standing contributors and project-steerers. They’ve going to take us on a journey that starts with today’s userbase, goes through the execution protocol and ends with a look at what Jupyter will be in the future - an ambitious framework for interactive, collaborative applications and more. – Support Developer Voices on Patreon: https://patreon.com/DeveloperVoices Support Developer Voices on YouTube: https://www.youtube.com/@developervoices/join Jupyter Homepage: https://jupyter.org/ Jupyter Xeus: https://github.com/jupyter-xeus/xeus Jupyter AI: https://github.com/jupyterlab/jupyter-ai Jupyter CAD: https://github.com/jupytercad/JupyterCAD Jupyter GIS: https://github.com/geojupyter/jupytergis/ Jupyter GIS Announcement: https://blog.jupyter.org/real-time-collaboration-and-collaborative-editing-for-gis-workflows-with-jupyter-and-qgis-d25dbe2832a6 QGIS: https://qgis.org/ ZeroMQ: https://zeromq.org/ Sylvain on LinkedIn: https://www.linkedin.com/in/sylvaincorlay Darian on LinkedIn: https://www.linkedin.com/in/afshindarian Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social Kris on Mastodon: http://mastodon.social/@krisajenkins Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

    1 小時 29 分鐘
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5
（滿分 5 顆星）
28 則評分

簡介

Deep-dive discussions with the smartest developers we know, explaining what they're working on, how they're trying to move the industry forward, and what we can learn from them. You might find the solution to your next architectural headache, pick up a new programming language, or just hear some good war stories from the frontline of technology. Join your host Kris Jenkins as we try to figure out what tomorrow's computing will look like the best way we know how - by listening directly to the developers' voices.

資訊

  • 創作者
    Kris Jenkins
  • 活躍年代
    2023年 - 2025年
  • 集數
    93
  • 年齡分級
    兒少適宜
  • 版權
    © Clearer Code Limited
  • 節目網站
    Developer Voices

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