Realtime multiplayer, automation, and you! — Idan Gazit, GitHub @aiDotEngineer
Realtime multiplayer, automation, and you! — Idan Gazit, GitHub  @aiDotEngineer
Uploaded August 2026 | Updated September 2026, 3 weeks ago
Idan Gazit's personal site runs on Astro, which ships often enough to keep him permanently on the upgrade treadmill, so he wrote an agentic workflow in about three lines of plain English, the kind of message you would send a teammate. Copilot expanded it into a full playbook: check for new releases, read the changelog and upgrade guide, apply the changes, open a pull request. It then carried him from Astro 5 to Astro 7, two major versions at once, found and fixed the code that broke, verified the build, and flagged the manual steps it could not take itself. The workflow is a Markdown document. The YAML actions file is a compiled artifact nobody reads, so changing how the automation behaves means editing the English.

The guardrails are the part he wants remembered. Prompting an agent to behave is not a guardrail, because anyone who can prompt inject it can undo the instruction, and you have let the fox into the henhouse. Permissions, allowed tools, reachable network destinations and safe outputs get declared deterministically in front matter instead. His upgrade workflow may open exactly one pull request, and is explicitly allowed to do nothing at all, since an automation that cannot stay quiet turns into a denial of service against its own owner. Secrets stay outside the agent's jail entirely, because a secret an agent can see should be treated as already compromised. The second prototype, ACE, runs every session in a cloud microVM and deliberately resembles a chat app, on the theory that what belongs in the shared surface is everything not already in the code: the political constraints, the infrastructure deal that quietly picks your cloud provider, the plan two people edit together before telling the agent to go make the document true. He ends on a study of around a hundred developers over thousands of hours which found that hands on keyboard typing is about 5% of the work, and that is the only 5% the tools have helped with so far.

Speaker info:
- twitter.com/idangazit
- linkedin.com/in/idangazit
- githubnext.com
Realtime multiplayer, automation, and you! — Idan Gazit, GitHubShip Production Software in Minutes, Not Months — Eno Reyes, FactoryFull Workshop: Setting Yourself Up for Success —Jason Liu, OpenAI CodexBeyond Static Intelligence: Evaluating Continual Learning — Parth Asawa, UC BerkeleyDesigning Agents (The Floor Is the Frontier) — Ben Hylak, RaindropBuilding Turbopuffer: Gergely Orosz (@pragmaticengineer ) × Simon Eskildsen (CEO)A Taxonomy for Next-gen Reasoning — Nathan Lambert, Allen Institute (AI2) & Interconnects.aiEverything Is a Rollout — Alex Shaw + Ryan Marten, Terminal-Bench, Harbor, Laude InstituteBuilding AI Agents that actually automate Knowledge Work - Jerry Liu, LlamaIndexBenchmarks: The Good, the Bad, and the Ugly — Ali Khial, G2iAgentic Sites: Building Hyper Personalized Websites — Carlos Sanchez, AdobeOpenAI for VPs of AI + Advice for Building Agents
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Realtime multiplayer, automation, and you! — Idan Gazit, GitHub

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