Build

In this post we cover why velocity is extremely critical in this time of rapid innovation in AI technologies

In this post, we cover the decisions and implementation on how we built our platform and company to fully leverage AI and provide us flexibility in the future

This article explores the four main phases of the DevRev lifecycle - build, operate, support, and grow - and highlights the key considerations for each stage.

This post discusses some of the challenges companies traditionally face throughout the product lifecycle and how this lead to the creation of DevRev to fix these problems.

This post discusses an approach for how to think about product structure and definition.

Throughout my career I've experienced a lot of good and bad examples of how things should work. In this article, we talk about some of the disadvantages of silos and why they should be broken down.

This post talks about how to secure your cloud perimeter with AWS and Fastly edge. This is part 1 in a series covering the basics and concepts.

This post talks about how to secure your cloud perimeter with AWS and Fastly edge. This is part 2 in a series covering the communication flow, TLS options, and example configurations.

This post discusses when to use each work type in the DevRev platform. Commonly tickets and issues are distributed across systems; however, with DevRev these all exist in one platform. This post defines each as well as when each should be used.

This post discusses some background and tips for equity, personal finance and estate planning

In this post we cover a real-world example of using CNAME abstractions

In this post we talk about when, and how, to use CNAME abstraction to simplify future changes

In this post we provide a brief primer on DNS and how it is used

In this post we provide an example style guide (the one we use at DevRev).

This post talks about how we built semantic search at DevRev using techniques like vector databases, encoders, leveraging generative AI models, and some of our considerations.

This post is a deep dive into our vector database and the algorithm choices.

In this post, we cover the considerations and insights on how we designed our platform and company to fully leverage AI and provide us flexibility in the future

In this post we talk about how to choose the right initial systems for your growing startup.

In this post we cover some object modeling best practices and how to approach writing one

This post covers some methods which can be used to help combat silos in your business.