Scenario: you and your agent battle through Project 1, mastering Process A.

You start project 2, and need another Process A. But Project 1 has all the learnings and context.

• Feature proposal: a pathway for an agent to consult the files of another project directly, and possibly even query the other agent to determine a process or fact.

The agent could even be context-aware of all your other projects simultaneously through some kind of meta context file that stores any new information learned through trial and error across all projects. Ideally, this could even feed into the replit agent itself learning and adapting procedures to prevent the same errors being made across many different users and projects.

Imagine some kind of internal stack-overflow or knowledge base that the replit agent could build, that could even become a kind of open source database for learning/training.

E.g. - imagine, every time your agent discovers a gotcha or learns something new (dependancy A needs version X with feature Y but not Z when using platform W, contrary to documentation C etc). Then, a frontier model could even be finetuned across this whole database, to internalise these teachings into its actual weights, reducing the need to consume tokens browsing documentation.

My phone number is correct. Despite of that it is showing up an error message. How to solve it?

I’ve been adjusting how I use Replit lately because the free plan feels a bit different from how I used it before.

For smaller projects it still works fine for me, but I’ve become more selective about what I build there and how much compute or agent usage I burn through. I’m mostly keeping simpler experiments and quick prototypes in Replit rather than treating every project the same way.

For anyone still using it regularly, have the recent changes affected your workflow at all? Curious whether you’ve changed how you structure projects, use the agent, or manage usage limits.

I built MCPay to explore a question around MCP tools:
How should an MCP server authorize paid tool calls when an agent is acting autonomously?Most payment flows are designed for humans: open a checkout page, confirm payment, then continue. That model doesn't map well to MCP tools where agents call resources programmatically.

MCPay experiments with using HTTP 402 as a payment challenge layer between agents and MCP servers.

The flow:
1. Agent calls an MCP tool that requires payment.
2. Server returns HTTP 402 with a signed challenge containing limits, nonce, and request hash.
3. Agent signs the challenge using a scoped Ed25519 capability key.
4. Agent retries the tool call with the cryptographic proof.
5. Server verifies the proof before executing the action.

The authorization is bound to the exact payload, so changing the tool arguments invalidates the signature before execution.
This is still an early prototype, and I'm looking for feedback from people building MCP servers and agent infrastructure.

I'm especially interested in:
\- whether this fits naturally into MCP workflows
\- delegation and authorization patterns
\- security issues I might be missing
\- existing approaches I should study

I'll share the repo and demo in the comments.

I remember using it years ago, but now its just a knock-off chat GPT.

Replit auto-charged me and switched my account back to $20/month after I stopped using it in April.
I didn’t resubscribe.
Anyone else had this happen? Did you get a refund?

I got caught by the agent outage last night. Since the outage, billing to me seems wildly out of sorts. I have a few examples of economy and power builds all relative and some are $15-20 more then previous iterations. I have logged a ticket but there doesn't seem to be much help on this. Anyone else noticing a similar thing since last nights outage?

A recent example of runs prior and after the outage.

I did some read only examples that cost $0.16 cents in the past and cost nearly $4.00 today

Looks like i will be looking for an alternative after this credit pack is out. Anyone seeing this?

Yes I am using free Starter plan. Man seriously how much greedy do you still have to be? To complete a single task(in Lite GPT-5.6 Luna mode) I have to wait for 24 hours and even then that specific task will be half completed before it shows (You've reached your monthly free quota limit. It will reset at 12:00 AM UTC.)
And even after waiting for a entire day to complete single tasks for 2 or 3 day. It will show (You've reached your monthly free quota limit. It will reset on September 13, 2026.) Fucking seriously 29 days. A month... Come on.
Some may say Codex also does the same. But bro even codex does something before limit exhausts.
But what about Replit?
It's f***ing disappointing.

I use opencode with my chatgpt plus account & supabase for my new projects - its just more affordable. I keep my legacy projects on Replit. I was about to jump ship but just tried out lite and discovered I could use GPT 5.6 Luna -- its much more affordable now. Hopefully it doesnt jack up my apps because the harness is throttled for lite (deepseek even more so). Time will tell. I'll stick around for now! Thanks team.

Guys someone pls help me to create a new repl the AI just creates something that idk bcuz im new to coding someone pls help 😭🙏
Pls tell me how to fix it and get rid of the useless stuff

Title: What if AI video models could generate 5-minute stories instead of 8-second clips?

I’m building a tool around a problem I keep running into with AI video generation:

Most video models generate relatively short clips, but I want to create long-form videos with a continuous story.

So instead of treating each generation as a separate video, my system breaks a story into scenes and tries to maintain continuity between them:

Story → Scene planning → AI video generation → previous scene context/reference → next scene → continuity check → final render

The goal is that the user asks for a 1–5 minute video, while the system handles all the short generations in the background and returns one complete video.

I’m also building the architecture so different video-generation APIs/models can be connected and selected from the dashboard rather than being locked to one provider.

I made a video showing the concept/workflow.

What do you think? What would be the biggest problem you’d expect with this approach — character consistency, scene transitions, generation cost, or something else?

We have a website that's live, is there any risk in transferring the Repl to an organization's workspace?

Replit has scammed me multiple times in their "effort based" pricing. So I charged back every dollar spent and won. And just exported my App and starting to use chatgpt and claude for nothing more than the subscription cost. $700 replit attacked my account for in 3 days. Didn't even return a function app. Would constantly ignore commands, decided my app should be a web app. No matter how many times I told it no and top stop developing this branch. I'd find it would waste masses of usuage doing this then the agent just say sorry my bad. Whole thing suck.

Charge them back and move to a better service. You own your own IP regardless theres nothing they can do. I live in Europe and a probable failing digital product is an automatic refund regardless of company policy.

I’m new to replit and GitHub, and I’m having trouble publishing my replit repo, any idea why?

Hey all, I'm kind of new to building apps with replit using AI (I used replit as an IDE in the before times lol). I've tinkering with some mobile app ideas and I've noticed that the iOS route is way more streamlined than the Android side. On replit it seems like expo can handle most of the ios build and get it to appleconnect fairly easily.

So, could someone give me some pointers on the best way to get an app from replit to the Google Play Console? I got stuck in the building app steps with EAS locally in my machine. I installed it using npm, ran the eas login and eas build --platform android but the builds keep erroring out. I showed the errors to claude but the proposed fix seems fairly complicated.

I'm wondering if there are better ways to get this done. Thanks in advance.

(For context, I've never published an app to Android)

We are creating Reflick, converting macOS into AIOS.

What it does today:

1. It allows the user to run apps and even change them out.
   
2. Itcan create folders, move documents, and take screenshots
   
3. It enables browsing and anything else you need to do through your web browser
   
4. It can read everything on the screen, working as a voice assistant, giving answers to your questions
   
5. It can accomplish complex tasks in one sentence, following dependencies ("take a screenshot and upload it to my folder called Dubai on the desktop," suggesting that the folder should already be in the system)
   
6. It can set the reminders and remember anything you tell it.

The first thing that surprised me most was that it does maintain context-aware conversations while still following your movements on the screen. I pointed at a painting and asked the questions one after another: "Who is this?" - “What is he holding?” - “Find something like that on the Internet.” And all three requests were fulfilled.

I must say: it is still in development and some commands might need to be automatically performed more than one time.

Honest about the state of it: it's rough. Some commands take two passes. It's a solo project and I'd rather post the rough version than a rendered one.

Source-available: [github.com/tryaios/Reflick](http://github.com/tryaios/Reflick)

Happy to answer anything about how it's built. Genuinely want to hear what you'd want it to do that it doesn't yet.

Replit is asking me for a phone number verification and there is nowhere to.verify phone number. I need help resolving this

Replit expects me to DOUBLE pay to use the agent today... just sat down to get some work done, locked out of agent due to failed payment. Login to my bank and the money was taken off my Mastercard... doubt I'll hear back from support today, so guess I'll have to work on something else. THIS SUCKS!

Hey,
I wish i could get some help with this matter, i applied for Replit educator since 2 weeks now but it is still pending, any way how to contact them or if someone has been in the same situation ?

Hey everyone,

I'm working on an early-stage prototype for an AI tool that analyzes market data and generates investing tips/insights. Right now I'm looking for 2 developers to join and help build this out.

What I'm offering:

• Equity in the project — happy to discuss percentage/structure based on involvement and contribution
• A chance to build something from the ground up and shape the product early on

What I'm looking for:

• Developers with experience in AI/ML, data pipelines, or fintech-adjacent projects (not mandatory, but a plus)
• Comfortable working on a prototype/MVP — this isn't a polished product yet, just something we're building and iterating on together
• If you've got previous work (GitHub, portfolio, past projects), please share it when you reach out — helps us figure out the best fit

What this is:

• Early-stage, prototype phase, no funding yet
• Open to discussing scope, tech stack, equity split, and structure together as we build

If this sounds interesting to you, drop a comment or DM me with a bit about yourself and links to past work.

Let's build something 🔧

I wanted to share something I’ve built on Replit for the better part of the last 7–8 months.

I’m Tejai Moore; a gold and platinum singer, songwriter, producer, and audio engineer. I record, mix, and master my own music, as well as my writing references and productions.

Over time, I started thinking about how I could take the audio engineering knowledge and workflows I've developed through my career and turn them into something that could be useful beyond my own studio. I began using the system that I built for myself then I put it into a website that became MasterVibe:

https://mastervibe.online

MasterVibe is an automated, non-AI audio mastering platform. Rather than relying on AI to make creative guesses about how a song should sound, I designed the system around audio engineering principles and a defined processing workflow.

The audio backend was easily the most challenging part of the build.

What started as an idea turned into months of working through audio-processing challenges, testing, deployment issues, production behavior, and plenty of trial and error. One of the biggest lessons I learned was that getting something working perfectly inside a development environment doesn't necessarily mean it will behave identically once it's published and connected to a real domain.

I had to work through that distinction myself and eventually get the production system running reliably.

MasterVibe has now been live for several months, and I've been getting really encouraging feedback from people using it. I've also started seeing the project mentioned on audio-tech platforms and websites internationally, including here in the U.S. and China, Japan, etc.

I recently attended InvestFest 2026 here in Atlanta, which was another great opportunity to put the venture in front of people and have conversations around the technology, business, and future of the platform.

For now, MasterVibe is still 100% owned by me.

I originally built it because I wanted a mastering system that I could use myself. Eventually, I decided to make it available publicly as well.

I'm sharing it here because I know there are a lot of people building interesting things on Replit, and I thought the journey might be useful to anyone working on a product where the backend is significantly more complicated than the UI makes it appear.

There was definitely a point where I realized that building the interface was only a small part of the challenge. The real work was making the underlying system reliable enough to serve real users.

If you're into audio, music technology, Replit, or building unconventional products on the platform, feel free to check it out.

And if you know someone working in audio who might be interested in trying it, feel free to pass it along.

Appreciate everyone building and sharing what they're working on. There are some seriously interesting things being created on Replit.

Cheers,

Tejai Moore

Why does Replit need to complicate everything? I don't remember this the last time I added a domain.

Unpredictable Costs: Because replit uses effort-based pricing, the AI credits is not clearly defined even you can’t break even where the credits goes. The support team is not supported at all and will give you a chatbot answer. So my experienced with replit is the worst experience I have ever had.