category

Technical

Focusing on technical aspects, design decisions, code snippets and other technical areas.

Technical
09 February 2024

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

24 July 2023

This post discusses some of the ways DevRev was built for AI and some potential challenges others will have

05 February 2024

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

11 June 2023

This post discusses why providing poor support or customer service may be the leading cause of customer churn.

22 February 2024

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.

11 March 2024

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

17 December 2023

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.

17 December 2023

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.

05 February 2024

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

29 June 2023

This post discusses the transition and configuration with Google Analytics (GA4) and Google Tag Manager (GTM)

11 June 2023

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

11 June 2023

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

11 June 2023

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

06 June 2023

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

06 June 2023

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

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