:unicorn_face: 2 days until the Apps Hackathon begins! If you haven’t yet - register here.

What happens next:

• Wednesday, July 22: we’ll send you the rules and quickstart guide, and you can start building.

• Wednesday, July 29: submissions close.

• Tuesday, August 4: we announce the winners.

Join #channel for everything related to the Hackathon.

More details are coming soon, keep an eye on your inbox 😉

👋 Hey everyone, I'm Sid — a frontend engineer and independent developer based in Mumbai. I work mostly in React, TypeScript, and Node.js, with a full-stack/DevOps bent.

I've been pretty active in the AI agent/hackathon circuit lately — recently built KeyWatch (a credential lifecycle manager) on the Lemma SDK, put together a real estate compliance agent for the Slack Agent Builder Challenge, and took part in the Namaste Dev Hackathon. That's what pulled me toward Archestra — always looking to learn from folks building in this space and find the right people to trade notes with.

Been going through the docs and honestly pretty impressed with what you all have built here 🙌.

Looking forward to getting into the good stuff!

Hi everyone, I am Jonathan, solution architect in a mid-size insurance company. We are currently considering building our enterprise ai platform based on archestra and step 1 is to use it as LLM gateway to bedrock but failing with a simple claude code call.

  "message": "Route POST:/v1/bedrock/<our-uuid>/model/eu.anthropic.claude-sonnet-4-5-20250929-v1:0/invoke-with-response-stream not found",
  "error": "Not Found",
  "statusCode": 404```

is there like a channel where we can adress these kind of things ? Issue tracking in github is enabled only for contributors

Hey all! 👋 I’m Loïc, VP Eng @ Initiativ. I just started evaluating Archestra as our primary AI platform, very excited about the Knowledge ingestion and Apps builder. For testing purposes. I’m currently using my ChatGPT sub, but I can only see GPT 5.5 and 5.1 Codex. Is there a way to see the most recent 5.6 models?

Hey everyone! 👋

I'm Omkar, a third-year engineering student from India. I'm passionate about DevOps, cloud technologies, and building scalable systems. A friend of mine recently referred me to the Archestra Hackathon, and I'm excited to be here! It feels like the perfect opportunity to showcase my DevOps skills, especially since one of the hackathon tracks aligns closely with a project I'm currently building.

I'm looking forward to connecting with everyone, learning from the community, and collaborating throughout the hackathon. Excited to be part of this journey! 🚀

Hi everyone! 👋

I'm Sunny, a Software Engineer with a background in building backend systems and cloud-based applications. Lately, I've been focusing on learning DevOps through hands-on practice, especially tools like Docker, Kubernetes, Terraform, Ansible, and CI/CD. I found Archestra through a LinkedIn post about the hackathon and joined because it seemed like a great place to learn by building real projects and connect with people who share similar interests. Looking forward to learning, collaborating, and getting to know everyone!

Hello all, we have been trying to do a POC with archestra as our llm proxy for github copilot for a 1k+ devs. We are facing difficulties though when we try to utilize it through VS Code copilot chat. Is there a proper way to do it? Has anyone managed to accomplish it or give us any direction? When using the openai style endpoint it doesnt return any available models and when using the copilot one we get that only /chat/completions is supported.

Hi

I am Nitin. Working as DevOps engineer since last 6 years . I am very new to the slack.

Excited to join this hackethon as this is my first attempt at hackethon. I will try to solve one of our real problem which we face at our organization. Let's see how it goes as it's learning for me as well

👋 Hi everyone! Wanted to introduce myself.

I’m Ricardo Dizon Pozon. I’m a senior full-stack and applied AI engineer , with about eight years shipping production software. I started in traditional web and backend work, then moved into applied AI when it became clear the hard part wasn’t calling an API, it was making LLM systems reliable enough for real operators to depend on.

My work today is less “demo in a notebook” and more embed, discover, ship, and hand off. I’ve built LLM-powered products, RAG pipelines, agent workflows, and the evaluation habits to know whether something actually works in production.

What I actually do day to day:

• Translate messy business problems into shipped software when the spec is still forming

• Build AI workflows end to end: integrations, APIs, internal tools, and operator-facing surfaces

• Work in Python (FastAPI) and TypeScript/React depending on what the product needs

• Design for handoff: code quality, reliability, and documentation so the capability stays after the engagement

• Run discovery with non-technical stakeholders and turn that into architecture and priorities, not just tickets

• Prototype fast with modern AI dev tools (Cursor, etc.) without skipping production discipline

One thing I’ve learned: AI doesn’t remove engineering judgment, it raises the bar for systems thinking. Better outputs come from clearer constraints, better data boundaries, evals, and architecture, not just better prompts.

Excited to be here and work alongside operators who care about outcomes, not slideware. If you’re building agent workflows, internal AI tools, or thinking about how to ship AI in a PE portfolio context, I’d love to compare notes.

Hi everyone! I'm Laiba Mannan. I have +2 years of experience in DevOps and Cloud Engineering, working with AWS, Azure, GCP, Kubernetes, Docker, Terraform, CI/CD pipelines, and DevSecOps practices. My experience includes cloud infrastructure automation, container orchestration, deployment automation, security integration, monitoring, and maintaining reliable production environments. Over the past year, I've also been building AI-powered solutions and developing various AI agents within the DevOps domain, including agents for cloud operations, incident response, infrastructure troubleshooting, security analysis, and workflow automation. I'm particularly interested in how agentic AI can help engineering teams reduce operational overhead and improve productivity. For the Archestra Apps Hackathon, I'm excited to explore MCP-powered applications and build a practical solution that addresses real-world operational challenges through AI and automation.

Looking forward to learning from the community, collaborating with fellow builders, and seeing the innovative projects everyone creates.

Hi everyone! I'm Vamsi, a DevOps Engineer with around 3 years of experience working with AWS, Kubernetes, Docker, Terraform, CI/CD, and Linux.

I'm passionate about cloud infrastructure, automation, and solving real-world engineering problems. I'm excited to participate in this hackathon, collaborate with talented builders, and create something impactful using AI and modern cloud technologies.

Looking forward to connecting and building with you all!

Hi Everyone, I'm Dinesh, I have 1.7 years of experience as an MLOps Engineer, working on Kubernetes and machine learning platforms. My work includes managing and upgrading Kubeflow, supporting Kubernetes clusters, troubleshooting production issues, automating deployments using GitOps, configuring service mesh and authentication, monitoring platform health with observability tools, and ensuring the reliability and availability of ML infrastructure. I also work on user access management, platform automation, storage management, and resolving complex infrastructure issues to provide a stable and scalable environment for machine learning workloads.

Hi everyone , I'm Kunal Prajapat from India , an MCA student with a strong interest in DevOps, Cloud Computing, and AI automation.

I've been learning and working with Linux, Docker, Kubernetes, Jenkins, Terraform, GitHub Actions, AWS, and CI/CD pipelines through personal projects and hands-on labs. I enjoy solving infrastructure challenges, automating workflows, and exploring modern cloud technologies.

I'm excited to be part of the Archestra Apps Hackathon, learn from experienced builders, collaborate with the community, and create meaningful AI-powered solutions.

Looking forward to connecting with everyone and building something awesome together!

Hello Everyone,I am Anuj and excited for this hackathon.

Hello Everyone,I am jaswanth and excited for this hackathon.

Hi everyone! 👋

I'm Ashutosh, a DevOps Engineer with 3+ years of experience working with AWS, Docker, Kubernetes, Terraform, CI/CD, Linux, and cloud infrastructure.

I'm passionate about automation, building reliable systems, and solving real-world infrastructure challenges. I'm excited to be part of this hackathon, collaborate with talented people, and build something impactful using AI and modern cloud technologies.

Looking forward to connecting, learning, and building with you all! 🚀

Hi Everyone, am sharathkamsali am excited to join for this hackathon i will show up my skills and as well as activity of my work.

Hello Everyone, I am Laxmipriya. working as a IT Analyst with 6 years of experience. Currently I have been working in container support and interested in moving towards devops. Looking forward to build and learn.

When will we receive the details about the hackathon ?

Hi everyone,

I am Shivakumar, currently working as a Azure DevOps Engineer. Excited to join this hackathon and try to build the AI platform which will be useful in daily workflow.

hello everyone i am Alwin Roy curently working as a linux admin excited to be part of this hackathon interested in devops and cloud looking forward to contribute and grow

Hello, everyone!

I'm Waseema, currently working as an AWS DevOps intern. Excited to join this hackathon, looking forward to contributing and growing in DevOps.

Hi everyone! I’m a DevOps and AWS Cloud Engineer with 4+ years of experience in cloud infrastructure, CI/CD, automation, and Kubernetes. I’m excited to be part of this hackathon, learn new things, collaborate with talented people, and build something innovative together. Looking forward to an amazing experience!

Welcome to everyone who joined our community because of the Apps Hackathon 👋

We’re launching the Hackathon today - please keep an eye on your emails throughout the day for the building instructions.

Hi everyone! I'm Hitesh, a B.Tech CSE student and aspiring AI Full-Stack Developer. I'm currently exploring AI, software development, and building applications with AI-powered tools. I joined Archestra to participate in the Apps Hackathon, learn more about MCP integrations, and build something useful and innovative. Excited to learn and build with everyone here!

Hello everyone, am Martins, A junior DevOps and Cloud Engineer, exited to be here

Hi everyone! 👋

I'm Atharva, a student from India excited to participate in the Archestra MCP Apps Hackathon. I'm particularly interested in building AI-powered productivity and workflow tools, and I'm looking forward to learning from the community and seeing what everyone creates.

I also had a quick question: the timeline mentions that the kickoff materials, including the full brief, quickstart, and example apps, would be sent out today. I haven't received them yet—have they already been shared somewhere, or are they still being sent out?

Thanks, and good luck to everyone! 🚀

Great to see you all!

I am Vladyslav, and I am currently looking for a Junior DevOps role. That's why I decided to join this hackathon - to meet new people, gain hands-on experience, strengthen my portfolio, and get inspired by your projects ;) I heard about Archestra from Abhishek Veeramalla, and I think it is a great opportunity to learn ai development,

which is an essential skill in today's industry

Good luck🫠

Hello everyone! 👋

Great to be here.

I'm Anvesh, currently working as a DevOps Engineer with around 4 years of experience. I joined Archestra to connect with like-minded people, gain hands-on experience building AI-powered projects, strengthen my DevOps and AI portfolio, and learn from the community.

I heard about Archestra through Abhishek Veeramalla, and it seemed like a great opportunity to explore AI development—something that's becoming increasingly important in today's industry.

Looking forward to collaborating with you all. Good luck everyone! 🚀

hi evey one when the hackthon will then how they send any one send me

Hello everyone,

The Hackathon channel isn't showing up for me; only the "general" one.

Happy to be here!

@user hi

Hi, I'm B Rajasekhar, a Cloud & DevOps Engineer with 5+ years of experience in AWS, Kubernetes, Docker, Terraform, and CI/CD automation.

I'm passionate about building scalable cloud infrastructure, automating deployments, and solving real-world DevOps challenges.

Currently exploring AI-powered DevOps, Platform Engineering, and open-source technologies.

Did anyone received the kickoff materials by email?

Hi everyone,👋

I'm Shibu, a developer working in agentic ai applications. I'm happy to be part of this hackathon and excited to give my best part here.

Hi everyone,

Glad to be here

Hi everyone! 👋

I'm Kanishka . I experience in IT Support, System Administration, ERP, and EDI. Currently, I'm transitioning into DevOps and AI, learning Linux, Docker, Kubernetes, AWS, and AI agents.

Excited to be part of this hackathon, learn from everyone, and build something awesome together!

Hey @user i am using archestra tell me few cookbook example so i know basic how it is working then i can built project

@user hi

if anyone can share there learning on Archestra i tried AWS bedrock,cerebras,groq models but whenever i give prompt either token limit or tool calling or too much time it takes do share your learning if someone is successfully building app inside the archestra UI

If it's showing rate limited etc then it's an issue with the key you've added

Hi @user

Is an LLM provider configured for our Archestra instance? My app's built-in archestra.llm.complete() call is failing 100% of the time with error code llm_unavailable ("The LLM completion could not be produced") — it's not a quota issue (llm_quota), and it happens on every request.

My app code is correct (the call is caught and the error surfaced cleanly). I also checked and there's no LLM configuration tool or model-serving tool exposed to app authors, so I can't enable it myself.

Can someone confirm whether an LLM provider/API key + model is set up at the instance/admin level for app-level llm.complete calls? If it needs enabling, could you turn it on (or tell me who can)?

by when will we receive the challenge brief ?

The Hackathon instructions are out for everyone who registered!

Happy building :unicorn_face:

Good luck everyone!

Hey, thanks team! Excited to start.

What and how are we supposed to submit the app that we’ll build?

Hi ! I registered for the Archestra Apps Hackathon and received the registration confirmation, but I haven’t received today’s full brief, quickstart, or submission instructions. I also checked my spam folder. Could you please resend them or share the direct link? Thank you!

YES , i also need full brief ...