Code[ish]
At the bleeding edge of computer vision is Plainsight Technologies, a company that’s modernizing infrastructure to handle future agentic AI workloads. Join us as we speak with CEO Kit Merker on Plainsight’s vision for the future, technological goals, and the leading case studies for computer vision. Hear from host Julián Duque and Kit Merker in this new, insightful episode of the Code[ish] podcast.
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We love hearing from developers who are building amazing things with Heroku, and this episode of Code[ish] is a perfect example! CEO of Australian firm reinteractive, Errol Schmidt, is here to speak with Julián about what his team has achieved and what they’re working on next. Together, they discuss why Heroku is the best tool for Ruby on Rails development, how organizations can safely integrate AI, and the importance of being able to quickly stand up proof-of-concept apps.
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This week, Julián is joined by the first Spring Developer Advocate and Java champion, Josh Long! Tune in as the pair discusses Spring Boot and tools like Spring AI, Spring Modulith, Spring Cloud, and Spring Shell that build upon it. If you're a Java veteran like Josh, or returning to it after years away like Julián, this Tips & Tricks episode of Code[ish] will bring you up to speed.
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Slack can be so much more than a way to chat with your colleagues. In this episode of Code[ish], we’re joined by Maria José Hernández to find out how Slack Apps and Slack AI can elevate the app into an organization-wide, personalized Work OS. In conversation with Julián Duque, Maria shares insights into the tools available for developers, and what’s included in the Slack Developer Program. Whether you’re pro-code or no-code, this episode is packed with valuable information to help you build, innovate, and improve your workday with Slack.
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The Code[ish] Podcast is back! Join Heroku superfan Jon Dodson and Hillary Sanders from the Heroku AI Team for the latest entry in our “Deeply Technical” series. In this episode, the pair discuss Heroku Managed Inference and Agents—what it is, what it does, and why developers should be using it. Hillary also shares tips for new developers entering the job market, and Jon pits 10 principal developers against one hundred fresh bootcamp graduates (hypothetically, of course).
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A brand-new season of The Code[ish] Podcast is on the way! Loads of insightful episodes are on the way, featuring special guests from all corners of the Heroku community.
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In this episode, Ian, Laura, and Wesley talk about the importance of communication skills, specifically writing, for people in technical roles. Ian calls writing the single most important meta skill you can have. And the good news is that you can get better at it, with deliberate practice!
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This episode is hosted by Alyssa Arvin, Senior Program Manager for Open Source at Salesforce, with guest Jim Jagielski, the newest member of Salesforce’s Open Source Program Office (OSPO). They talk about Jim’s early explorations into open source software during his time as an actual rocket scientist at NASA and his role in the formation of the Apache Software Foundation. Next, they discuss getting started in open source, specifically, how to find the right open source community for you to start cont
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This episode of Codeish includes Greg Nokes, distinguished technical architect with Salesforce Heroku, and Lisa Marshall, Senior Vice President of TMP Innovation & Learning at Salesforce. Lisa manages a team within technology and product that focuses on overall employee success in attracting technical talent and creating a great onboarding experience.
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In this episode of Codeish, Greg Nokes, distinguished technical architect with Salesforce Heroku, talks with Innocent Bindura, a senior developer at Raygun about performance monitoring.
info_outlineHailey Walls is a Customer Solutions Architect with Heroku, and she's engaged in a conversation with Paul Orland, the founder of Tachyus and author of Math for Programmers. Paul took graduate level math classes, and even ended up with a Master's degree in Physics, but even he admits that he comes down with his own kind of math anxiety. Now, he works as a programmer, building predictive models, but he encounters many engineers who don't have a basic understanding of fundamental math concepts, like calculus or linear algebra. Seeking to rectify this, he wrote a book called Math for Programmers, which methodically explains mathematical concepts using real-world examples. He hopes to be able to teach math to many more people.
Paul emphasizes that, although thinking of mathematics can be intimidating, it's not different than working on any other skill. If you decide to go weight lifting, you start with a 10 pound weight, then a 15 pound one, and on and on. Similarly, with math, if you train on problems that are simpler, future problems will build upon the techniques you've honed. The appeal for gaining math skills is almost analogous to that of programming: there is always a right and final answer. Just as a compiler determines how a program works and whether a syntax is valid, taking in input and producing output, so too is math deterministic. Fundamentally, better mental acuity with math can help teach you how to consider the behaviors of complicated systems.
For people interested in studying math more closely, Paul advises students to not be discouraged by problems which appear hard. It can be best to pick a problem that you are naturally interested in, which will lead to a general willingness to try and solve it. Similarly, he'll also take a math concept and turn it into a program, which has helped him reason about flow and patterns much more clearly in the past.
Links from this episode
- Tachyus helps energy producers optimize their production
- Math for Programmers is the book Paul wrote -- listen for a 40% off code