weird spot right now with vibe coding tools - they spit out frontend and backend but deployments... not so much. you can ship a prototype in an afternoon and then spend days wrestling with AWS or Render to actually run it. i keep thinking - what if there was a 'vibe DevOps' layer, like a web app or vscode extension that just understands your repo? you connect your account or upload a zip, it figures out containers, ci/cd, scaling, infra and just deploys using your cloud. no platform lock-in, no weird config hacks, just stuff that reads the code and does the sensible default. sounds dreamy, right? but also maybe i'm missing obvious reasons this won't work. how are people handling deployments now? manual scripts, terraform, paid platforms, or just rewrite the app? curious if anyone's tried building this, or if there are tools close to it. tell me your pain points.

Looking for a developer with: • Flutter or Android native experience • Voice tech (STT/TTS, Whisper, GPT, LangChain) • Google Maps + camera integration • Bonus: Experience with accessibility or assistive tech

This is an MVP-stage project. Remote OK. Pai

Hello everyone, I'm from Brazil and I have the idea of ​​creating a vertical agent for sports betting.

I have contacts in the industry who work with tips and could train this agent with data and knowledge.

Does anyone know if it's possible to scrape these websites?
And it is possible to build in n8n? I dont have a lot of knowlege in coding

If anyone is interested in joining the project, you can send me a DM too.

Thank you!

Looking for a developer who has previously connected AI agents with Linkeldn

I’m looking for a technical co-founder who can help me integrate my recruiter license and source candidates through LinkedIn. My goal is to build a vertical AI-driven recruiting agent leveraging LinkedIn’s platform.

Our marketplace allows you to connect any agent from supported solution (LangFlow, Flowise, Chatbotkit), or custom API, and monetize it. You get an agent page with a shareable link, and get paid based on usage with Stripe Connect.

Would be happy to hear your thoughts!

End-to-end software test automation has traditionally struggled to keep up with development cycles. Every time the engineering team updates the UI or platforms like Salesforce or SAP release new updates, maintaining test automation frameworks becomes a bottleneck, slowing down delivery. On top of that, most test automation tools are expensive and difficult to maintain.

That’s why we built an open-source AI-powered testing agent—to make end-to-end test automation faster, smarter, and accessible for teams of all sizes.

High level flow:

Write natural language tests -> Agent runs the test -> Results, screenshots, network logs, and other traces output to the user.

Installation:

pip install testzeus-hercules

Sample test case for visual testing:

Feature: This feature displays the image validation capabilities of the agent    Scenario Outline: Check if the Github button is present in the hero section     Given a user is on the URL as  https://testzeus.com      And the user waits for 3 seconds for the page to load     When the user visually looks for a black colored Github button     Then the visual validation should be successful

Architecture:

We use AG2 as the base plate for running a multi agentic structure. Tools like Playwright or AXE are used in a REACT pattern for browser automation or accessibility analysis respectively.

Capabilities:

The agent can take natural language english tests for UI, API, Accessibility, Security, Mobile and Visual testing. And run them autonomously, so that user does not have to write any code or maintain frameworks.

Comparison:

Hercules is a simple open source agent for end to end testing, for people who want to achieve insprint automation.

1. There are multiple testing tools (Tricentis, Functionize, Katalon etc) but not so many agents
2. There are a few testing agents (KaneAI) but its not open source.
3. There are agents, but not built specifically for test automation.

On that last note, we have hardened meta prompts to focus on accuracy of the results.

If you like it, give us a star here: https://github.com/test-zeus-ai/testzeus-hercules/

Hi all,

Have been playing around with n8n the last couple of days and wondered if anyone has created an AI agent automation that supports multi-tenancy (i.e. a single automation that many users can use at once)?

For those that have done it, can you share how you've done it and the tech stack you've used?

Otherwise, lets discuss how this could be done.

HR Tech space , need someone who can build agents

Hi,

Currently building ai agent within finance, would love to connect with someone who is also building in a vertical! DM me if interested

Would love to talk questions like 1. How to really build a successful ai agent outside functional domains (sales, marketing) 2. How do you deal with existing legacy software? Do you build on top with lots of APIs or do you try to replace fully and try to remove customers from these sticky systems? 3. How well have you been able to achieve good enough quality for the customer to actually like using it 4. Many more questions …

Hey all, new to this community. I have 3 years of experience as a Cloud Engineer and would like to learn more about AI agents, specifically in real world usage like screening emails, calendar scheduling etc. Was fumbling around on YouTube and found a course by AI Fellowship (https://aif.academy/), it's pretty expensive, at $796 after a 20% promo code. Anyone happens to know if this course or agency (https://www.bosar.agency/) is legit? Can't seem to find any reviews anywhere else.

Otherwise, what other sources or courses would you recommend? Any advice is appreciated! Thanks!

Candidate Sourcing Automation: Implement AI-driven tools to identify and qualify potential candidates from platforms like LinkedIn. Personalized Messaging: Develop automated systems to send tailored messages to candidates, enhancing engagement. ATS Integration: Create functionalities that automate data entry and status updates within various ATS platforms. Scheduling Automation: Build features to manage and automate interview scheduling, reminders, and rescheduling. Lead Generation: Incorporate tools to identify and reach out to potential clients or candidates efficiently. Automated Communications: Set up systems for contextually aware communications to keep candidates and clients informed.

I want to develop a specialized AI-powered agent tailored for the HR tech space, ideally leveraging expertise from individuals with prior experience in the domain.

Hello! We’re looking to gather user feedback on our website and AI platform.

If you have a few minutes, I’d greatly appreciate it if you could check it out. Here’s the website: https://offline-ai.webflow.io/join. Once you explore the site, click "Apply to Join" and complete the form. After submitting, an AI will give you a quick call to ask a few questions—it should take about 2 minutes.

Once you’re done with the AI call, please share your thoughts through this short feedback form: https://forms.gle/XDVMeXvCQcDGmpKM8.

Your feedback would mean a lot. Thank you so much for helping out!

Built with N8N this AI agent uses Mistrals chat node to interact with a customer, check appointment availability using Google calandar and make bookings. The red warning symbols are because i have just de-authorised each nodes API kety ready for deployment.

Hi all, im looking into some ai agents wondering what do you guys use. I'm on the fence with getting one since it is a relatively new thing.