About us
Node.js-IL is the Israeli community of node.js enthusiasts and professionals. We meet once a month to discuss Node.js, its frameworks, and best practices.
Upcoming events
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March. 2026 Node.js Monthly Meetup
DoorLoop, Haarbaa 28, Tel Aviv, IL**To register for the meetup, please register via Luma using the link below**
Register via Luma -> https://luma.com/8dxgg63r
18:00 - Mingling 🎉, SWAG 🎁, pizza 🍕, and beers 🍻
18:30 - lectures
19:50 - Give a way one Node.TLV 2026 ticket and one PlatforMa 2026 ticket !***
AI Agentic Development Feedback (Ralph) Loop
by Neriya (Neri) Rosner, Senior Full-Stack Engineer, DoorLoop
What if your AI didn’t just write code, but reviewed, tested, deployed, and fixed it on its own?
Most AI workflows stop at generation. A developer writes a prompt, reviews the output, finds bugs or architectural issues, rewrites the prompt, and repeats, generating wasted iterations and unused code along the way.
We built a different loop: AI that checks itself end-to-end.
In this talk, we’ll show how our agent starts with fast static feedback using ESLint and TypeScript, validating its code instantly. It runs unit, integration, API, and third-party contract tests, executes real user flows via Playwright MCP, inspects logs during development with Sentry SpotlightJS, commits and pushes to GitHub, and deploys through Vercel, and solves CI issues.
Finally, we’ll show how, using Ralph Loop — built on a Research → Plan → Execute → Review framework — the agent can iterate overnight and continuously develop.
You’ll leave with a practical blueprint for building fully agentic, self-correcting Node.js workflows.***
Rules Are Dead. Here's What's Next for AI-First Teams.
by Or Rozenzweig, Backend Team Lead , Wix.com
My AI can read every file in my repo. But it doesn't know why my service exists, what my PM wants, or which patterns my team agreed on over lunch six months ago.
That context — the stuff that lives in Slack threads, in people's heads, in tribal knowledge — that's what makes the difference between a nice autocomplete and code that actually ships.
Over the past few months, my team has been closing that gap. Not with bigger models or better prompts — with structure.
In this talk I'll share what's working for me and my team: AGENTS.md for project context, Skills for reusable workflows, and CDD — a way to get your whole team (PM, dev, QA) collaborating through AI agents.
Live demos, real code, things you can start using Sunday morning.***
DX Guardrails for AI
by Kiril Reznik, Software Engineer, Aternus | Master Builder
Get shivers down your spine when you see a PR with 1k+ lines of code changed?
With Agentic dev workflows it's easier than ever to get yourself burned out in code reviews.
Sure we could just "ship fast and break stuff", perhaps ask the agent to implement a feature flag, but who's going to operate it when production breaks and an angry customer call wakes you up in the middle of the night?
Join me to learn about the guardrails that keep code reviews scalable and DX great.
Together we'll explore how SDLC has evolved over the past 2 years and you'll leave with practical tools to keep your sanity and reduce risk of surprises while working with AI.---------------------------------------------------------
Kindly be informed that attendance at the meetup is on a first-come, first-served basis until capacity is reached. Although a place has been reserved for you (after click on attend button), please note that it does not guarantee your spot.1 attendee
Past events
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