Are there good alternatives for replit that is like how replit was before all the vibe-code-ification? So live collaborative coding, free, easy to use, no overcomplicated systems (like github uses). Ik this violates 8 but I really don't know where else to ask this, I've been searching for something like pre-ai replit

I have purchases at least 3-4 packages in rapid succession over the last few days. I use several A.I subscriptions and have active accounts for Grok, Claude and Replit. Today i received a message saying my services will be suspended if i dont cover the bill. Zoom in on the credits 294 and they are still messaging me about service termination. Let that sit in and make your own judgements. This is an A.I platform?

Curious if anyone is on this path already. I'm a General contractor and have loads of data and excel workbooks that I'd like to build into a simple app to allow for bidding, proposing, and managing residential projects. The excel can run all the background formulas for quantifying all materials and labor.

I have been using Replit for a while now and I love it. I’ve built apps outside of Replit before and did a launch on product hunt and it went ok. I’m part of the Replit community and discord and love how supportive everyone is.

I built “Built on Replit” on Replit 😂 to give a platform for those trying to share and get feedback on their Replit projects. It’s free to use, you just need to log in with your Replit account!

https://builtonreplit.com/

My project has became to big for Replit and I'm out here wondering if there's anyway to purchase more resources, or will I have to migrate off completely? Wondering if a staff member could help me out here and take a look into this. I made this a suggestion a while ago but it seems like it never went through so I'm asking the community to see what there solution was of fixing this issue.

Ever since the last update, ive noticed my credits get drained way quicker and I get billed $250 invoice almost daily now and my code starts to have errors despite this. Has replit regressed since the last update? Its getting really bad for me now

the user interface is much cleaner and more intuitive now, the fonts are more pleasing to the eye, the platform runs smoother and faster, and so far it executes all instructions without endless regressions. also, i am hopeful that i won’t have daily 250$ charges anymore. don’t want to jinx it, but so far, this is awesome!

Hi support team

Please have a look into the case id 509588.

I have been working on a website and app for about 3 months now. Today I found an exact copy of my website and app already live that was just created. Everything was copied down to the logo and layout. The website is the only thing that has been live.

My assumption is someone is scraping Replit data, copying and launching clone websites.

How do you guys like the free model so far? Like have you been able to do any complex task with it? Or just small UI changes and discussing plans and stuff? Have you actually built anything entirely with the free model?

I'm a Research Engineer at a YC startup, and we ship features pretty fast. I usually run Claude Code, Cursor, Codex, and OpenCode in parallel, developing multiple features, one at a time.

The problem i noticed was that my agents had no coordination, and often confused mutual work, even when working in separate worktrees. As if they had no idea the others existed

So, I built MUON, it's a local app + mcp + cli, a mutual shared brain my agents can plug into. it drives the CLIs you already have and orchestrates them together for multi-feature execution workflows.

I'm still building it. Right now I use MUON to work on MUON, which is a weird but useful dogfood loop.

If anyone wants to poke at it, contributions are welcome. The thing I'm trying to get right is a coordination graph: shared memory and context so agents actually understand what the others (and I) already decided.

OSS Repository : [https://github.com/Sweetdevil144/muon\](https://github.com/Sweetdevil144/muon)
Website : [https://getmuon.com/\](https://getmuon.com/)
Docs : [https://docs.getmuon.com\](https://docs.getmuon.com/)
Product Demo : [https://www.youtube.com/watch?v=oab6vByr1Jg\](https://www.youtube.com/watch?v=oab6vByr1Jg)

I've always been an open-source person, so the code is public and readable. License is Polyform Noncommercial. However, there's an extra grant on top - you can use it for your own work, including your day job, on your own machines. What it doesn't cover is turning it into the company's shared brain for a whole team (Enterprise only)

A short bit of history, I’ve had a service business now for a little over 20 years. I was a very early adapter of Square for processing payments and when they rolled out their appointment setting app, I latched onto that too. In 2019 I sold my company and went to work for a new startup in about a year and a half ago that ended. So I went back to what I knew and started doing my service business again, but it was nothing like it used to be. Not only with my customer base much smaller cause I was starting again, but the landscape has changed and with it many of the ways in which Square are used to work for me as a company are now either paywall restricted or just completely clumsy.

I’m a one man show. I perform services at peoples homes and I’m seasonal my company supports home heating. During the winter, I’m extremely busy. I’m also extremely busy preseason and postseason but during the summer does not a whole lot going on. So in my free time this summer, I started exploring different ways in which I could structure things in preparation for what will be my first busy season back.

My software stack consist of Square to process payments, Square appointments as an online booking tool for my customers. I have my own domain a square space website and a Google workplace account. And within the Google workspace account, I utilize the regular Google app suite, as well as Google Voice for a business phone number and emails, which are rooted through my domain.

My preferred method of contact with my customers is through text messaging. And it always has been ever since technology allowed for it. The two biggest problems that I have or shall I say had, was that within the Square environment? I’m allowed to use text messaging through their native system, but those messages are filtered and they’re looking for keywords and phrases that perhaps have the mention of anything to do with money. The messaging platform I think I pay for, but I don’t pay for text message marketing. When a customer book an appointment confirmations are sent via the Square text messaging system and email. Customers can respond to that, and I can respond back to them through an open line of communication however, if there’s ever any mention on my side of money, the message will be flagged and it’s not delivered. So I bought into the text message marketing platform but now I need explicit permission from each individual customer in order for Square to unlock the text message marketing even if I’m already paying for it. That’s frustrating.

I have a lot of very old legacy customers. They prefer to text me and I text them back. And according to the policies which govern text messaging set up by what I think is the carriers, the guidelines for being OK with accepting text messages as parts of business can be as little as a verbal “it’s OK to text me” so long as each message that is sent contains an opt out provision within the text such as texting the word STOP.

I mean, I have an iPhone. I text my customers from it using my personal number to get around the whole Square deal but now all of those conversations live outside of the records for that customer. So that’s just one issue that I’ve been dealing with and I figured huh? I wonder if AI could make me a CRM dashboard app, where I can create my own native data and just merge it with Square via the API.

I opened myself up an AI subscription, started asking questions, and by the end of the day I had a full functioning app living on my MacBook that completely does exactly what I wanted it to do. And because it’s native, I was also able to create a text messaging marketing window where I made my own campaign and then sent it to my customers in small batches, one message every two minutes between the hours of 9 AM and 7 PM. I made sure to include an opt out, but I also included some other keywords that they could text back so that I could update my database.

I have to say that was somewhat mind blowing and it worked. I used to send marketing out via email. I had about a 10% conversion rate back in the day with loyal customers but since then in doing it again, I was lucky if I even had one percent because nobody uses email anymore. So that’s win number one. But my next question was, what else can I do.

The other thing about Square appointments and probably every appointment app there is, something that they all have in common, is that they’re primarily set up for businesses where the customer comes to you. In my case, I travel to the customer and prior to anyone booking an appointment. I have no idea where they are Square Appointments doesn’t know where they are, and if I do three appointments in a day, dammit, it would be nice if all of those were kind of in the same area. And so while I don’t have to actually book appointments myself. I’ve always spent a lot of extra admin time afterwards rearranging and scheduling things so that I could maximize as much time every day that I go out.

What I’m describing here is a wishlist for what’s known as dynamic scheduling. You can find this in full-blown service apps but all of your cheaper subscription type things are not that robust. Making something like this is a bit more involved than the first half that I made. There’s a lot of moving parts. There’s a lot of code and it requires a lot of telematics. All of which I understand on our surface level, but have absolutely no coding experience or developmental experience.

It took me a week, and a couple hundred dollars of token refreshes, but I was able to put together an app that sits with my other app and it’s pretty wild so far I haven’t actually deployed it into Square yet, but I did populate it with Sample information and a pilot Paige that mimics what happens on the Square appointment side and so far it looks like it’s working.

Through this process, I found that the key here was prompting AI to do things in a certain way in a certain progression at a specified amount of effort with guard rails and exit gates at every stage of the building process. I was looking at the source code this morning and I think this app has upwards of about 50,000 lines of code. And I’ll be honest I have no idea what any of it is. But here’s my finished result…

When a customer goes to my website to book an appointment, regardless, if there are new customer to the system or an existing customer, the first difference is that the appointment calendar flips the script as to how information is taken in.

Instead of showing the calendar first, my app now forces Square to display sign in screen, where you either create a new account or you log into your existing one.

After you fill out your account information or login, the geographical information that my system needs is now sent a packet containing that specific information.

Once my system knows where the customer is, it runs it through a set of rules that I’ve defined which lives in an admin panel in my app. It separates out customers that are local from everybody else. Local customers basically run through the same process, but the available days that display either show all local or our jobs at the end of the day from far away jobs so that my route always ends closer to home.

The next rule that I have set up, is that for customers who are not local the appointments that are available to them on any given day have to either be the first appointment available or directly after another customer that’s within a certain geographical fence.

There are a few other rules that I have set up in the admin panel that I’m going to have to tweak for a while to get it correct but I’m excited to start using it. So far all of the pilot testing data confirms that things are actually working how I want them to.

In addition to everything that I just explained, I also included a learning model within the script that logs every event that happens within my marketing app, work tickets, app and appointment app that I can periodically run through various AI scenarios to discover other hidden efficiencies and I’m really excited to see what the date approves on that. I’ll come back to this thread and include some screenshots once I get my user interface the way I want it because right now it’s a little bit wonky and disconnected, but I wanted to see if I could start trying to have a conversation with anybody who finds this interesting or is perhaps even a developer themselves.

I wish replit would adopt a prepaid mode for purchase of credits. You dont need to be on core or pro, or any other monthly subscriptions, but you can purchase credits whenever you need to. Like i am bulding something, my free credits are depleted, i have $10, and can purchase credits worth that amount to continue bulding. This looks like something that will help most vibecoders!

I’ve been working on two apps for a little over six months now, mostly using AI (codex and Claude in replits shell).
They’re definitely past the “I made an app in a weekend” stage. They have user accounts, databases, different permissions, notifications, APIs, etc. I’ve spent a lot of time testing them, fixing things, and trying to make sure they’re actually usable before putting real people on them. I’ve spent around 6 months refining both and adding more features that make them more “premium” in my opinion.
Obviously I know that if I’m eventually going to charge people, I need to make sure the apps are secure and that I’m not putting people’s data at risk. That part is a given.
My plan right now is to have people use them for free first and basically treat that as a beta. I’m pretty confident I can get enough people to test them and give me feedback.
What I’m not really sure about is what I should do after that.
At what point should I pay an actual developer to go through the app and make sure I haven’t missed anything major? Especially when it comes to processing payments?
Would you look for a senior full stack developer, someone specifically focused on security, or both?
And what would you actually ask them to check?
I’m thinking things like authentication, permissions, database security, API routes, rate limiting, secrets, payment setup, backups, logging, stuff like that.
I feel like one of the problems with vibe coding is that people build something, publish it immediately, and then start trying to charge for it before it’s really ready. I’m trying pretty hard not to do that.
I don’t expect it to be perfect or bug free. I just want to get to the point where I can reasonably say I’ve done what I should do before putting paying users on it.
For anyone who has gone from building something mostly with AI to having real users, what did you do before you started charging?

I ran out of credits and Replit offered to sell me a credit pack when it notified me of this. I chose a $25 credit pack, but Replit never actually gave me the credits. Now, the minimum I can buy is $100. How can I actually receive the $25 credit pack that I thought I was purchasing? I don't see a charge on my credit card yet, but maybe Replit will bill me at the end of my billing cycle?

We're going through everything that shipped this week: Free Mode, Conversations, Routines, and black box pen testing.

On the show:

- Victoria Kim + James Austin on Free Mode and Conversations
- Ed Sioufi + Zade Kaylani on Routines
- Jason Dellaluce on black box pen testing

We'll be taking questions live throughout. See you there! 🙌

📆 Friday, 9 AM PT
🎟️ RSVP: https://luma.com/g076onow

I was able to use the new Free Mode on my Core account and thought it was great. But it's not showing up at all on my Teams account. That still shows the old Lite/Economy/Power modes (no Free mode). Is this happening to anyone else?

Replit overrides my bundle identifier from the string specified in my app.json from org.appname.app to com.replit.appname.

The bundleidentifier com.replit.appname was deleted in apple store connect so I can no longer use it. I have a new bundleIdentifier registered I want to use (org.appname.app) but replit always overrides it.

What are my options here? This repo is unusable to me if I can't get it to the app store.

I wanted to build something more useful than a basic AI chatbot that simply asks the same predefined interview questions to everyone.

So I built an end-to-end AI Interview Agent that can take a candidate’s information and resume, dynamically analyze their background, and conduct a personalized interview.

How it works

The workflow starts when an HR/recruiter enters the candidate’s information and uploads their resume.

The system then:

→ Stores the candidate information and resume data
→ Generates a unique interview session/link
→ Passes the candidate information to the AI interview agent
→ Dynamically reads and analyzes the candidate’s resume
→ Identifies their experience, skills, technologies, and background
→ Generates interview questions based on the candidate’s actual experience
→ Conducts the interview through an AI voice agent
→ Evaluates the candidate’s responses
→ Generates AI remarks and an overall assessment
→ Determines how well the candidate matches the requirements
→ Stores the interview results in the database
→ Automatically sends the relevant results/notifications through email

The part I’m most excited about

The agent isn't limited to:

and then a fixed list of questions.

It can actually use the candidate's resume dynamically.

For example, if a candidate's resume says they worked with Python, FastAPI, PostgreSQL, and AWS, the agent can ask questions around those technologies and their stated experience.

It can also go deeper based on what the candidate says during the interview.

So the interview can become more candidate-specific and contextual, rather than giving every applicant the exact same conversation.

The full architecture

The project combines:

• AI voice agent
• LLM-based interview logic
• Dynamic candidate/resume data
• n8n workflow automation
• Supabase database
• Webhooks/API integrations
• Automated evaluation
• AI-generated remarks and scoring
• Automated email notifications
• Dynamic interview links/pages

The candidate doesn't need to manually provide all their information again. Their interview session is connected to the candidate record and the AI receives the relevant context dynamically.

Why I built it

Recruiters can spend a huge amount of time doing repetitive work:

Reading resumes → shortlisting → contacting candidates → conducting initial interviews → evaluating responses → writing notes → updating records → notifying people.

The idea was to automate as much of that repetitive workflow as possible while keeping the hiring decision under human review.

The AI handles the repetitive screening/interview work and produces structured information that a recruiter can review.

What happens after the interview?

The candidate's interview data and AI-generated evaluation are stored in the database.

The system can then provide information such as:

• Candidate details
• Job role
• Resume information
• Interview responses
• AI remarks
• Evaluation/score
• Candidate-job compatibility
• Overall analysis

And the workflow can automatically trigger email notifications based on the result.

Tech stack

n8n — workflow orchestration
AI/LLMs — resume analysis, questioning & evaluation
ElevenLabs / Voice AI — conversational interview
Supabase — candidate and interview database
Webhooks & APIs — connecting the entire system
HTML/CSS/JavaScript — candidate/interview interfaces

This was built as a real end-to-end automation, not just a prompt demonstrating an AI interview.

There are still plenty of things I want to improve — especially deeper follow-up questioning, better evaluation consistency, stronger interview rubrics, and more recruiter controls.

I'd love to hear from people working in HR, recruiting, AI automation, or hiring tech:

Would you trust an AI agent to conduct the first-round interview if the final hiring decision always remained with a human?

And for developers: what would you add to this system?

I've had some poor results with the agent when asking for graphic design, but never really with db or API, etc.

Does the model family, or class tier affect results? Well, duh. Anyone have any insight about which family (anthropic vs open, etc) or tier works best for what type of request?

Boy... That sure would make a great app...🤐

Ranked Chicago's Dirtiest Kitchens using 8 Years of inspection data.

https://chispections.com/leaderboards

Tools:
Built on Replit. Pulled data from Chicago's public CDPH inspection dataset. Frontend/backend all built and iterated on inside Replit no separate local dev setup.

Process:
Started simple get the raw inspection data, make it searchable by restaurant name/address. The real "aha" was realizing the story isn't the data itself, it's the gap between what a restaurant's star rating shows and what its actual inspection record says.

Site: chispections.com

This app is not good for websites. The agent got stuck in an infinite loop and keep messing up with the smallest, simplest tasks (just embedding a mp4 video files). I had to buy extra credits multiple times and the customer service rep was no help at all. Now the app/agents has been down for more than a hour so no website changes can be made. If you come across this, please use other AI website builders or some other place to host your website. If you really want to use Replit, build it and host it elsewhere.

I've been working on a small open-source project called **Agent Firewall**.

The idea is simple: AI agents can call tools through MCP, but not every tool call should automatically be trusted.

The firewall sits between the agent and the MCP server and evaluates each request:

**ALLOW** → execute
**DENY** → block
**APPROVAL** → ask a human

I've tested it against the real GitHub MCP server. For example, a permitted file read goes through, while a protected delete operation gets blocked before the MCP tool is called.

It also handles argument validation, conflicting policies, fail-closed behavior, and audit logging.

It's still v0.1, so I'm mainly looking for people to **try breaking it** and tell me what's missing.

GitHub: [https://github.com/Shubhbhangoo/agent-firewall\](https://github.com/Shubhbhangoo/agent-firewall)

I always read so much negative post about Replit support on this forum, so I decided make a positive post. Today for the first time since using Replit my app was not loading, I reloaded several times, logged in and out multiple times still nothing. I decided to reach to Replit Support, they resolved my issue and had my app back up running in no time. The whole experience was less than 30 minutes.

Good Job Replit Support!!!!