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The workshop

Berlin | Claude Workshop

An astronaut walking across an orange desert under a dark sky

Build agents that debug and review with Claude Code. A hands-on evening: bring a laptop, leave with a working agent and a feature built by a crew of Claude Code sessions.

  • When: Thursday 22 October 2026, 18:00 to 21:30
  • Where: P.19 Studio, Prinzessinnenstr. 19, 10969 Berlin
  • Hosts: Mehul Patel and Markos Sfikas, Claude Community. GlassFlow hosts the evening at its venue.
  • Event page: luma.com/claude-fxrb 
  • Filming: the evening is filmed. If you prefer not to appear on camera, tell us at the door.

Do the setup at home before you come. The venue Wi-Fi is shared by 65 people, so installs and downloads on the night are slow.

Tares is open source. Both parts tonight run on it. If you like what you build, star the repo on GitHub: it helps others find it.

★ Star Tares on GitHub

The two parts

Part 1: Build an AI SRE with a handover agent

You build two agents that watch a small live service, break the service on purpose, and watch the agents find the root cause.

  • You watch a demo service with steady traffic: its Prometheus metrics, its error logs and the alerts Prometheus fires. Tares puts all of it on one timeline for the service.
  • You build a watcher on a small, cheap model that looks every 2 minutes, and a root-cause agent on a bigger model that only runs when the watcher says “investigate”.
  • You see a finding appear 2 to 4 minutes after you break the service: what is failing, since when, the likely cause and a next step. Then you ask Claude Code the same question and compare.
  • You take home the watch-then-escalate pattern, and how to point it at your own services.

About 45 minutes. Start Part 1.

Part 2: Software factory

You set up a software factory on your laptop: a crew of Claude Code sessions that turns a plan into pull requests merged on main. Then you give it a small test job to watch the whole loop run once.

  • You build the crew: an orchestrator, a builder and a reviewer, running in the background on your own Claude Code plan, with Tares keeping the plan, the tickets, the reviews and your answers.
  • You test it on a toy job: a click counter for a tiny link shortener, your own copy of a template repo with tests and CI. You plan it in a short interview with Claude: two tickets.
  • You watch the orchestrator hand the plan to the builder, which opens one pull request per ticket. The reviewer reviews each one, and once CI is green the builder merges it.
  • You take home a factory that works on any repo: point it at a real project next.

About 30 minutes. Start Part 2.

Agenda

TimeWhat
18:00Doors, food, drinks, and the setup help desk
18:15Welcome and Claude Community intro
18:30Tares in 10 minutes
18:40Part 1: build an AI SRE
19:45Part 2: software factory
20:15Short break
20:30Building continues, and stretch goals
21:00Show and tell
21:20Wrap-up and what’s next
21:30Networking

Local or cloud

You can run each part against a Tares on your laptop (local) or against a Tares workspace we host for you (cloud).

  • Local: everything runs on your laptop. Part 1 local needs Docker and your own Anthropic API key.
  • Cloud: a free Tares workspace with $10 of model credit. You get the join link on the night. No API key needed.

Both are fine. If Docker or the Wi-Fi gives you trouble on the night, switch to cloud. The guides here are the local versions; the cloud versions follow before the workshop.

Downloads

Everything the two parts use, in one place.

FileForWhat it is
tares-demo.zipPart 1The demo stack: docker-compose.yml and inject.sh. Unzip it, then run docker compose pull inside: the images (about 600 MB) still come from the internet.
factory-workshop-starter Part 2The link shortener you copy with Use this template.
click-counter-spec.txtPart 2The ready-made spec, to skip the planning interview.
workshop-slides.pdfBothThe slides for Part 1 and Part 2. Also on the Slides page.

Keep going

After the workshop, point what you built at your own systems.

Part 1: AI SRE

  • Build an AI SRE : the same demo, then how to swap in your own metrics, logs, alerts and deploys.
  • Watch, then escalate : the watcher and root-cause pattern from Part 1, for any sources.
  • Connectors : Prometheus, Alertmanager, Docker logs, OpenTelemetry, GitHub, Postgres, webhooks and more.
  • Tares cookbooks : a complete incident-response agent in code, if you would rather write the agent than configure it.

Part 2: Software factory

Tares and Claude Code

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