Getting Started with Slack Apps and Slack AI
Code[ish]
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 Development Basics of Managed Inference and Agents
Code[ish]
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).
info_outline![Code[ish] Season 2 Preview show art](https://assets.libsyn.com/item/37150120?height=50&width=50)
Code[ish] Season 2 Preview
Code[ish]
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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Why Writing Matters for Engineers
Code[ish]
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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Open Source with Jim Jagielski
Code[ish]
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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Success From Anywhere
Code[ish]
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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Demystifying the User Experience with Performance Monitoring
Code[ish]
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.
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Beyond Root Cause Analysis in Complex Systems
Code[ish]
In this episode of Codeish, Marcus Blankenship, a Senior Engineering Manager at Salesforce, is joined by Robert Blumen, a Lead DevOps Engineer at Salesforce.
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Principles of Pragmatic Engineering
Code[ish]
Karan Gupta, Senior Vice President of Engineering, Shift Technologies joins host Marcus Blankenship, Senior Manager Software Engineering, Heroku in this week's episode.
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Managing Public Key Infrastructure within an Enterprise
Code[ish]
This episode features a conversation between Robert Blumen, DevOps engineer at Salesforce, and Matthew Myers, principal public key interface (PKI) engineer at Salesforce. Matthew shares his experience running a certification authority (CA) within the Salesforce enterprise. He shares the rationale for the decision to take CA in-house, explaining that becoming a certificate authority means you can become the master of your universe by establishing internal trust. A private or in-house CA can act in ways no
info_outlineHost Greg Nokes is a distinguished technical architect with Heroku. His guests are Alli McGee, a product manager, and Lewis Buckley, a senior application engineer, from BiggerPockets. BiggerPockets was founded 16 years ago to educate non-professionals about real estate investing.
As a self-funded company, it’s critical for BiggerPockets to create products that customers will pay for. One way they achieve this product/market fit is by building cross-functional teams that are user-focused. All product teams have a project manager, tech lead, and designer that work closely together. This design-led approach allows teams to collaborate with representation from users, technology, and design.
As the PM on one of these teams, Alli lives at the intersection of what can we do for business, what can we do from a technology perspective, and what can we do for the user. She advocates for the customer, bringing knowledge of what customers want, what problems they are facing, and how they have interacted with prototypes in usability studies. Alli also advocates for the business to be sure products make money. Finally, Alli advocates for developers to make sure the project is technically feasible and won’t cause technical debt.
Another way BiggerPockets creates market fit is by creating Minimum Lovable Products—the smallest cheapest thing they can build that people love. With their current product, BP Insights, Alli and Lewis used this strategy to create the first iteration of a product that provides insight into local real estate markets. They then tested the product with users, iterated, and slowly built out a more fully formed offering.
For their tech stack, BiggerPockets is built on a Ruby on Rails monolith. While some in the industry say Ruby on Rails’ time is over, Lewis argues that it has been a great choice, as using a well-known stack has allowed them to worry less about the technology and focus more on building value for users. The BP Insights product was built on this monolith using a massive data set of nearly every property in the US. BiggerPockets imported the data to an Amazon S3 bucket and eventually copied the data to Amazon Redshift for querying.