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Anthropic drops Git for Scion + Event Bus in Kafka course on the Standard plan

Anthropic drops Git for Scion + Event Bus in Kafka course on the Standard plan

15 October 2026

Hey there!

Summary of this email:

  • Event Bus in Kafka course published on the Standard plan
  • 🗞️ News of the week: Anthropic drops Git in its monorepo because agents overwhelmed it
  • Café con Codely recap (watch it here)
  • The joke of the week (Git themed!!!)

📯 Event Bus in Kafka course published on the Standard plan

A few weeks ago we published the Event Bus in Kafka course in early access for Premium. From today, it is also available on Codely Pro Standard.

Until recently our recommendation was not to build an Event Bus on Kafka: at most one consumer per partition, and no retries or dead letter. With Kafka Queues and their share groups, that has changed.

In the course we build it with Java, from start to finish:

  • 🛰️ Kafka Queues vs RabbitMQ: a criterion-by-criterion comparison to decide which one to use.
  • 📤 Publish domain events to Kafka and add a fallback for when Kafka does not respond.
  • 🏗️ 3 topic and share group architectures: one topic for everything, one per subscriber, or one topic per event and one share group per subscriber. Spoiler: the third one is the robust and flexible one.
  • 🌋 Generate the configuration automatically: topics (also as Terraform) and share consumers come from your domain events.
  • 🔁 Resilience: retries with exponential backoff and the dead letter that arrives with Kafka 4.4.
  • ⚡ Kafka Queues specifics: more than one consumer per partition and renew to extend the timeout of a message.

Our take: if you already have Kafka in your infrastructure, you no longer need to add another broker just for the Event Bus.

The first lesson is free. The first block is already on Codely Pro Standard, and the rest of the lessons will arrive over the next few weeks. We hope you enjoy it as much as we enjoyed preparing it. 😊


🗞️ News of the week: Anthropic drops Git in its monorepo because agents overwhelmed it

On Tuesday Anthropic explained how it replaced Git with Scion, its own version control system.

The reason: agents multiplied merges by more than 10. In May they merged around 2,500 changes per day in their monorepo. In September, more than 30,000.

And the repo is huge: the history of the main branch takes almost 100 GB and the compressed working copy more than 25 GB. To keep up, they ran several hundred Git mirrors.

The root problem is Git's design: every client has a full copy of the repo. Perfect for people. Unworkable when CI runs around 25 million checkouts per day.

Scion turns it around:

  • ☁️ Clients are always online and fetch files from the server on demand.
  • 🖥️ Commits, merges and rebases happen on the server, so there is no push.
  • 🪶 Checkouts are sparse or optional: many CI jobs work directly against the API.

The result according to Anthropic: an infrastructure 200 times smaller in CPU and memory than the mirrors, and checkouts in seconds instead of minutes. A team of 7 people did it in 5 months.

Careful with the "Anthropic cancels Git" headlines. Scion will not be open source and Anthropic says it is not a general replacement for Git. Nor is it new: Google has Piper and Meta has Sapling.

For us, what matters is not Scion, it is the signal: as we saw in the last Café with GitHub dropping Spokes, tools designed for a human pace cannot keep up with the pace of agents. And this will reach companies much smaller than Anthropic.

Tomorrow we will be live at 9 CEST discussing this story and many more on Café con Codely. On our YouTube, Twitch and X.


☕ Café con Codely recap

This is the top 3 of headlines we discussed in the latest Café:

  1. Codex vs Claude Code: better UX in the Codex app, better code with Opus 5.5. OpenAI replies with 28 days in a row of improvements or usage resets, such as the Codex subscription in third-party tools and free auto review.
  2. JetBrains: reports a loss for the first time in its history. Revenue continues to grow, but it invests a lot in AI with many products at once and users do not understand the offer.
  3. Haiku 5.5: the price of Luna up to 100,000 tokens, but five times higher above that. Also, its tokenizer generates between 25% and 30% more tokens than Haiku 4.5.

You have the full Café recap with links to each story at the moment we discussed it.

Tomorrow we will be live at 9 CEST discussing this week's news on Café con Codely. On our YouTube, Twitch and X. 🙌


And since you've made it to this part of the newsletter, here's the joke of the week, which I know you were waiting for:

I'd tell you a Git joke… but you'd get lost in all the branches! 😂 😂 😂

Cheers!

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