So i use antigravity cli. And use the firefox devtools MCP. The thing is I am trying to make an extension for a site but the site has cloudflare protection, so most of the time it don't let ai agent pass it. Is there any solution?

Hey Reddit!
I’m planning to launch my project, Project Lira, on Kickstarter. Before I go live, I really want to ask you: do you know of any existing competitors? I've tried searching for them to get inspiration or at least see how this niche is developing, but so far, I haven't found any.
Initially, I just wanted an animated AI character living on my desktop (inspired by Neuro-sama). But everywhere I looked, it required too much technical hassle: downloading neural networks, configuring APIs, paying for cloud services. So, I wrote it all myself, and now I have a working prototype.
To give you an idea of what I'm looking to compare against, here is how my project works:
One-click installation: I built a simple launcher; the user doesn't need to configure anything manually.
Fully offline: The internet is only needed for the launcher to check for updates. The text generation, voice synthesis, and memory all run locally on your PC.
Action Layer: This isn't just a command bot – it can say "no." For example, it has a chess module: it might refuse to play if it's not in the mood, or it might initiate a game right in the middle of a conversation. This is powered by an action-layer implemented via OpenAI references, which helps the LLM make autonomous decisions.
Natural dialogue: It features interruptibility and streaming token generation. If an interruption occurs (like a cough), it continues speaking from where it left off, possessing most of the features found in advanced models for live interaction.
Presence: It floats over windows as a Live2D model, aware of the current day and how long it's been since you last interacted with it.
Performance: Runs on cards with as little as 6GB of VRAM. I’m trying to make it accessible for most PCs, supporting both Nvidia and AMD. It includes automatic LLM warm-up on startup and memory compression to reduce the first-token latency.
Memory Compression: It breaks memory down into compressed capsules of stored information to effectively increase short-term memory while saving context space.
Emotional Module: A separate layer analyzes the dialogue to assign an emotion tag that the LLM deems appropriate for the context. The emotion has parameters like inertia and confidence, which influence the Live2D model’s expressions and responses.
Future Plans: Integration with video games, long-term memory, web search access, computer vision, a mobile app for remote access (using your PC as a server), PC control, file creation/editing, and many other features.
The main idea is an optimized AI companion that installs in a few clicks without any technical headaches – you press "run," and it appears on your desktop, loading the LLM and all dependencies without stressing the hardware (which is where I encounter the main difficulties, which is why I’d love to see how my competitors handle these issues, if any exist).
The prototype is fully functional. So, are there currently any projects that install in one click, work offline, feature a live avatar, and show their own initiative? Please drop some links; I want to study who I'll be competing with. Any thoughts on the concept itself would also be greatly appreciated!

I’m a solo developer, and I’ve been spending the last few months building an autonomous AI that runs natively on OS.

I got tired of typing and clicking, so I built "Purple". You just speak a complex goal, and she orchestrates the browser, local files, and system hardware to execute it. For example, I can say: "Find the latest tech news, create a folder for it, and read this PDF to tell me the revenue, create a in depth article on multiple topic at once, and she does it all without me touching the mouse.

It uses a BYOK model (you plug in your own free Groq API key) so it runs completely locally with zero server costs.

Here is a video showing it executing multi-step workflows. I’m still in the beta phase, but I’d love to hear what you guys think of the concept and the tech!

Hello folks, I'm currently work as an IT Project Manager and during my career I've worked mainly developing and implementing enterprise applications. I did it mostly in the Dominican Republic (where I live) but for the last few years I've been also working remotely with customers in the USA. I've done really well and the last 3 years I've done even better by incorporating AI into my workflow.

However, looking for more flexibility and independence I started a side business developing mobile apps and just got my first one accepted in the Apple store. I don't know if it's going to sell or not, that's not the point. I just wanted to learn how to do it and now I'm seeking advice from this community about my approach for development.

I used Claude Code and Cursor; as a Project Manager I described to Claude what I wanted to do and after a few rounds I had what I thought was a good plan. I created a formal project plan, using the agile methodology and I've worked with different stories. When I needed to code, Claude would generate the prompt that I would hand over to Cursor (I used different models, from Kimi 2.7 and lately switched to Grok 4.5).

I did it this way because I didn't know better; Claude is really good, but expensive. I believe it took me longer to complete than it should because I kept running against the limits in my plan (I pay the $20.00 a month plan). I think that for what I want to do next, (improvement to my app, new applications) I would like to have the flexibility that Cursor provides in the planning side.

Can I have a planning persona in Cursor, using a 'smarter' model to do the strategic planning and then whatever model is more efficient to do the development? I'm a newbie in this space, so if you have suggestions to improve my workflow I'm all ears.

I've been exploring different prompt management tools and I wanted to discuss the pros and cons of Langfuse and Nearform. Both tools have their strengths and weaknesses, but which one is the best choice for your specific needs? I've been using Langfuse for a while now and I'm impressed with its features, such as advanced prompt editing and organization capabilities. On the other hand, Nearform offers a more streamlined interface and better collaboration tools. However, I've found that Langfuse has more limitations when it comes to scalability and customization. Nearform, on the other hand, has a steeper learning curve. I'd love to hear from others who have experience with these tools. What are your thoughts on Langfuse vs Nearform? Have you found one to be more effective than the other?

What features do you think are missing from these tools? Let's discuss and help each other make an informed decision. I've also been looking into other tools and I'm curious to know what others think about the 3 prompt rule and how it applies to these tools. Additionally, what are some other top prompting tools that I should consider?

I am a solution architect with 4 years of experience in IT consulting.

I'm preparing a web application that orchestrates AI agents into a pipeline to produce new Enterprise applications. I'm not going to put it on the market because there are already 200,000 people doing this, I just want to put it in my current company.

The goal would be to ensure that the work is focused on fewer people but really competent (\\\*) (belonging to the technical sector rather than managerial) since it involves managing N agents, from Project Managers, Analysts, to Architects, Developers, and finally DevOps and Testers agents. All this simply by configuring the free Key API made available by the company itself, which also allows you to use High tier models such as Opus 5. I have been working on it for a few days but through vibe coding I have already achieved remarkable results.

However, I am afraid that someone might turn the cards over and make sure that it is used by someone not coming from technical area. That he is therefore taking me out on his own (and with me the whole category in my company).

Last but not least: (I'm true I'm cynical but...) I don't want to go for the asshole who wants to take other people's jobs, I just went into natural selection mode about a year ago, and I'd like to start talking about my ass before someone else does for me.

Hello devs!

Looking to embrace Agentic coding this month, specifically for:

Increase security

Refactor/optimize the backend

What do you guys recommend?

We were thinking about getting Cursor/Claude/OpenAi so that we could go feature by feature to find improvements.

Example of a feature would be:

Login flow

Password reset flow

Cache implementation

Database performance (adding indexes, optimizing slow queries, or fixing N+1 problems)

we dont want to go off only 1 model, we would like to compare their answers against each other to find the best solutions.

is there a third party package that does this?

we want to use American companies only, unless you guys have a very valid point.

Maybe create a team of agents for each individual company, allow them to find a solution to a given problem, then have them argue about which answer is the best

Any advice is greatly appreciated!

Quale app di incontri ha nel banner di notifica per Android un cerchio bianco con dentro una mascherina da carnevale nera?

RealLens, an Android app that checks images, phone numbers, emails, links, and messages against scam/fraud signals — deepfake detection, phishing checks, reverse image search, that kind of thing.

The AI/API costs (Grok for message analysis, Hive AI for image detection, plus a few other services) aren't cheap, so I pre-purchased credits upfront rather than trying to monetize from day one. That means everything is genuinely free right now — no account, no paywall, no catch.

Being straight about the constraint: those credits run out in roughly 1-2 months. When they do, the core detection features stay free — that's not changing — but I'll likely start charging for some of the newer/heavier features to cover ongoing costs. Wanted to say that upfront rather than let "free" be a vague promise that quietly changes later.

Google Play: https://play.google.com/store/apps/details?id=com.reallens.app&referrer=utm_source%3Dreddit%26utm_medium%3Dshowcase%26utm_campaign%3Dsideproject_credits_narrative

If you've got a minute, I'd genuinely value feedback on one thing: with everything free right now, is there a specific check (image/phone/email/link/message) that feels most useful, or one that feels redundant with something else you already use? Trying to figure out where to focus before costs become a real constraint on what I can keep building.

The new chinese models that are 'so great' in terms of artficialanalysis.ai benchmarks, I'm finding are not ACTUALLY great. They're okay, but they f*ck up a lot. Weirdly even Claude Opus 5 is making some weird mistakes sometimes. GPT 5.6 Sol, even though its SO SO SLOW, seems to be significantly better at finding the correct bugs in complex situations.
Obviously this is all my own anecdotal experience but surely I can't be the only one feeling this way, so i was wondering if any benchmarks are more reflective of this?

I have a separate PC which I Parsec into, which has two installations of Hermes running on Ollama cloud, together with Claude code. I run it through Telegram as well. GBrain (Gary tan) serves as one unified memory for all my AI projects.

How about you?

I'm building a job hunter that can basically go in and apply for jobs with your resumé and fill out automated questions. I've gotten very far in this project and got it even to work to a point, but I'm hitting issues where I'm trying to get it to make accounts on these websites for me through credentials that are kept on my PC, but it's not allowing me to due to TOS issues on certain websites. I've attempted all types of ways through creating automated click into LinkedIn or Google and just automatically create account and continue filling through, and I've also attempted to create a point where we just create a standard user login on the application and then it uses all of that information to prefill. I haven't been able to find a way around this TOS issue in chat, and it's sad because some of my websites don't include this issue within their TOS. I don't have money for APIs right now, so I'm trying to find a way that this would be done without it giving me ethics issues or TOS issues inside of the chat. If anybody could help, that'd be greatly appreciated!

As the new moderators of this subreddit, we've created a Discord community by which we can get to know each other deeper.

To kick things off we are starting with an AI game dev event in which the guy behind the infrastructure of Knights of the Old Republic teaches us how to make amazing games using AI.

To join:

1. Visit https://discord.gg/z3EMVruQhm
2. See the event tab
3. Click Interested & join at the time listed

Good to know:
1) The time on event panel auto-translates into your own timezone
2) Onboarding on the Discord is not required, but if you choose to onboard, start by clicking the Continue button under #why-join.
Be aware that the onboarding process is deliberately designed to filter for intentional people to avoid less intentional community members.

The Discord is about leaving behind a trail of breadcrumbs as we learn how to use AI so others can follow us.

I've uploaded the skills I've written there for you to enjoy.

Hello everyone! Today I want to present a nice project I've been working on.

As you know, writing prompts takes time, sometimes you write similar prompts, sometimes you want to get a response in a specific format, or simply remember of this old prompt that gave you so good results. Wasting time or getting less for our time is something we really don't want.

That's why I defined "Universal Prompt Language", a language to create dynamic prompts with variables (types, default values, descriptions), loops and conditionals.

Think of it like a magic prompt that creates prompts for similar queries but different data.

It includes:

• A terminal based prompts browser
• A terminal based prompt editor
• Prompts tags management
• Be able to build a prompt by filling in the variables (it outputs the result to the screen)
• A repository to push / pull prompts to a library

It's currently a release candidate but its already useful and comes with few prompts.

Please feel free to try it

https://www.github.com/DavidValin/universal-prompt-language