October 2023 Summaries

Jam has reached 50,000 users who use it to make building software more productive and enjoyable. Every user is someone working hard to move the world forward through software, allowing them to ship faster and benefit their customers sooner. Jam is motivating its early adopters as they reach milestones, with plans for future releases that will continue to improve the tool. The company encourages users to provide feedback on what they'd like to see in future updates. With this milestone achieved, Jam aims to reach 100,000 users and continues to build an anti-bug movement to help developers fix less time spent on bugs and more time on shipping software.

GraphQL is extremely popular but notoriously time consuming to debug: While traditional APIs use HTTP status codes to help you filter which requests returned an error, every GraphQL request returns the same 200 “OK”, so developers have to look through every single request to find if one has errors. Unlike traditional APIs which use a different endpoint for each product function, every GraphQL query reuses the same endpoint (“/graphql”), which makes it tedious to find the GraphQL request you’re looking for when debugging. But not anymore! As part of GraphQL Debug Tools, Automatic Error Detection parses all the GraphQL queries to surface the ones with errors as errors, even though they return a 200 status. Additionally, Mutation Name Visibility now parses out which GraphQL request is for which mutation and surfaces the mutation name front and center in Jam dev tools, making it much easier to skim or search and find the important request to debug.

Now you can replay network requests from Jam tickets on your local machine in 1 click, allowing engineers to debug and confirm fixes faster. This feature enables a more actionable bug report by providing a way to export network requests beyond basic screenshots or Loom recordings. The new functionality is designed to accelerate the debugging process for engineers, making it easier for them to identify and fix issues.

Pictory, a startup using AI to convert long-form content into short-form multimedia pieces, previously struggled with chaotic bug reporting that slowed development velocity. With only 15 employees, product managers like Neha Kalani had to wear multiple hats and manually capture screenshots, videos, and browser logs across tools, causing time-consuming back-and-forth with engineers. However, after discovering Jam, a platform that captures everything an engineer needs to fix bugs in a single shareable link, bug reporting was streamlined overnight, allowing Neha to reproduce bugs instantly and send them to engineers in seconds. This led to faster bug resolution and improved developer productivity, with estimated improvements of 2-5X over the previous workflow. With Jam's unified platform eliminating manual log collection across disparate tools, developers can rapidly squash bugs on the first try, enabling Pictory to ship new AI features faster than ever before.