se-unlocked VS wundergraph

As I was exploring this podcast's open-source contributions, I found an issue that piqued my interest. This issue, related to episode 47, focused on how to enhance the transcripts of the episodes. The author needed help improving the clarity and understanding of these transcripts.

Hey, great list of awesome podcasts. I’m the host of Software Engineering Unlocked https://www.se-unlocked.com.

The episodes focus on the experience of my guests with software engineering practices such as testing, or code review, their journey to advance their career and often also on how developers build their successful business.

Would love if you give it a listen and see if you like my show.

For my last PR, I contributed to the se-unlocked repo which manages the transcripts for the Software Engineering Unlocked podcast.

During Hacktoberfest 2021, I was browsing and looking for an open source to contribute to. I only had a little time at that time. So, I limited my search to accessibility and documentation issues. And that was when I found an accessibility issue. It was on Michaela Greiler's Software Engineering Unlocked Podcast repository.

For part three, I decided to take on a different kind of issue - to improve transcript for a podcast episode. The process was similar to what I had done for my previous PRs. I forked the project and created a branch for the issue. However, since the work involved editing a markdown file, I decided to use GitHub's built-in editor to work on it instead. The improvement process involved listening to the episode while reading through the existing transcript. I would pause as needed and fix any issues which I notice. These mostly involved a few missing words, missing pronunciation, incorrect pronunciation, and some incorrect words. For example, git pull was transcribed as git poll, O'Reilly as a Raleigh, abstraction as obstruction. Though I was quite surprised by how accurate the auto generated transcript was. The only places where it would mess up was when there was a slight overlap in conversation, or when terms specific to software development, or names of publishers were being said. Throughout this process, I learned a bunch about transcribing - what may be ignored (phrases such as um), when to be exact, how and when to transcribe laughs, background music, etc. And once I was finished with the changes, I created a PR.

This time, I contribute to a repo from Software Engineering Unlock,a podcast for discussing topic about software engineering. They need some help to go over automatically generated transcript to correct them to improve accessibility, so I participated in the issue for one of the episodes and made a pull request.

Software Engineering Unlocked Podcast

Due to the above, the transcriptions were not exactly "accurate". To pick up an issue, all I had to do was create an issue with information about which episode I wanted to transcribe.

I never really got graphql until I stumbled upon Wundergraph. (https://github.com/wundergraph/wundergraph). I have no affiliation with them except that I have been building an app with it. I'm honestly puzzled how it's not more popular. Maybe people are solving these problems in other ways? But I tried out a bunch of stuff: Vapor, Supabase, Hasura, etc. None of it simplifies building complex systems the way WG does.

I think their takes on graphql make sense: https://wundergraph.com/blog/graphql_is_not_meant_to_be_expo...

To demonstrate field usage metrics in Federation, I’ll be using WunderGraph Cosmo — a fully open source, fully self-hostable platform for Federation V1/V2 that is a drop in replacement for Apollo GraphOS.

The inverse is also true. As a technical founder, and maybe even an introvert like me, you should definitely look for a non-technical co-founder who can help you with networking, etc... I found my dream co-founder through YC Co-founder match and what can I say, it's going great. We're focusing on enterprise GraphQL/API solutions (https://wundergraph.com) and I benefit from the networking and communication abilities of Stefan, while I answer all technical questions. Tldr, I highly recommend to team up with people who complement your skills.

GraphQL Gateway is primarily responsible for serving GraphQL queries to consumers. It takes a query from a client, breaks it into smaller sub-queries, and executes that plan by proxying calls to the appropriate downstream subgraphs. When we started our journey, there was only Apollo Federation in the arena, and we used it. Still, now you can look at other options (e.g. Mercurius, Conductor, Hot Chocolate, Wundergraph, Hasura Remote Schemas), compare benchmarks and decide what's important and preferable for your needs. The Gateway provides a unified API for consumers while giving backend engineers flexibility and service isolation.

I'm a big fan of tRPC. It's amazing how it pushed TypeScript only stacks to the limit in terms of DX. Additionally, it made the GraphQL community aware of the limitations and tradeoffs of the Query language. At the same time, I think tRPC went through a really fast hype cycle and it doesn't look like we're seeing a massive move away from REST and GraphQL to RPC. That said, we see a lot of interest in RPC these days as we've adopted some ideas from tRPC and the old NextJS. In our BFF framework (https://wundergraph.com/) we've combined file based routing with RPC. In addition to tRPC, we're automatically generating a JSON Schema for each operation and an OpenAPI spec for the whole set of operations. People quite like this approach because you can easily share a set of RPC endpoints as an OpenAPI spec or postman collection. In addition, there are no discussions around HTTP verbs and such, there's only really queries, mutations and subscriptions. I'm curious what other people's experiences are with GraphQL, REST and RPC style APIs? What are you using these days and how many people/teams are involved/using your apis?

You can check out the source code on GitHub and leave a star if you like it. Follow me on Twitter, or join the discussion on our Discord server.

If you like the work we're doing and want to support us, give us a star on GitHub.