Hi guys, Hope you’re well and thanks for welcoming me. I have question. I’m trying to improve my coding skills so I can start building my own digital products and been making progress. However, this the AI’s feedback on my learning progress: Based on the problems you've been working on (beehive population, honey reserves, etc.), you're clearly well beyond basic arithmetic and simple variable assignments. What you need is targeted practice on the specific areas where you're struggling: Complex Problem Decomposition: Practice breaking down multi-step problems like the beehive defense and honey reserves Focus on identifying the sequence of operations and state changes Loop Control and Logic: Work on problems with complex loop exit conditions Practice nested loops where the inner loop depends on outer loop variables Simulation Problems: Find more problems that simulate processes over time (like the beehive population) Practice tracking multiple changing variables through iterations Edge Case Handling: Focus on identifying and handling special conditions in your code Practice problems where certain inputs trigger different behaviors Instead of going back to basics, you need more structured practice at your current level with immediate feedback. Try to find problems similar to the ones you're struggling with, but with solutions and explanations available so you can compare your approach. The key is not more practice on fundamentals, but rather developing a systematic approach to complex problems and improving your ability to translate problem statements into working code. My question is can you guys please give me some advice and guidance on how to improve?

Hey everyone! I am thinking of building a showcase of scalable polyglot agents. For stage one I plan to implement the following concept (see the picture). 1. Input/Output interface for interaction 2. LLM as a gateway; 3. Collection of actions or workflows; 4. Collection of data items for knowledge base (implementing RAG technique); 5. Scalable containerized polyglot environments to execute automations. Does anyone have experience with anything similar? I already kind of imagine the toolset I could use, but would be great to here any suggestions.

A year ago, I had a vision: build cutting-edge automation tools and software that actually solve real problems for businesses and individuals. Fast forward to today, my agency has helped clients streamline workflows, scale operations, and generate revenue through smart automation. I didn’t start with clients knocking on my door—I built everything from the ground up. But by focusing on performance-driven results and delivering real value, I landed deals, optimized my systems, and scaled up. Here’s a look at some of the projects that made it happen: 🚀 AutoSplits – A reverse stock split arbitrage tool that automates trading across brokerages, making profit opportunities seamless. 📩 InSend – A request-based Instagram, LinkedIn, and email outreach tool with personalized AI messaging, boosting engagement and conversions. 👟 VibeVault – A centralized Shopify-based clothing/sneaker bot that ensures users never miss a drop. 🤖 Personalized Social Bots – Instagram & Twitter monitoring bots running in the cloud, keeping clients up to date on their target accounts’ content. 📧 Email Scraper + Google Sheets Automation – A ticketing business tool that scrapes and organizes client emails, cleans up data, and adapts to any template with AI-driven precision. 🌍 Custom Websites – From personal portfolios to business websites for local companies, built to enhance online presence. 🎮 FIFA Account Generator – A browser-based account generation bot tailored for FIFA enthusiasts. and More!!! But here’s the thing: building software is just one part of the game. What really helped me scale my agency to consistent five-figure revenue wasn’t just the tech—it was how I handled client relationships and pricing. And how I involved my peers from this community to make this possible to meet client requirements. It’s Not Just About Transactions—It’s About Relationships A lot of devs focus too much on short-term profits instead of long-term client value. My business model isn’t just about one-time deals—it’s about keeping clients around. That’s why I structure my pricing in multiple ways depending on the project:

Hey most of the time before a specific product launches (for example) the checkout steps and the specifics(id's) are not known , so bots cant be built for it before the product launches and the specifics are known, first i thought maybe the specifics can be decoded using similar products that have already launched on the websites, which hasnt worked out, then i thought maybe we can use ai like chatgpt to make those decisions for us , by giving the ai a specific goal to buy the item as soon as it releases and giving it the data required, (with access to the computer screen) , the ai could make decisions on the go like typing the address pressing checkout (etc), this could make a lot of money and can be used for products that havent been released yet , multiple products can be bought using the same system (changing the goal given to the ai) , and ai has even become good enough to even clear captchas so i think this may have potential , I may be totally wrong , or could have read the whole situation wrong ,this may seem farfetched but i want to work with someone on this @Ritesh Verma what are your thoughts

Don't let AI Agents take over your work. Learning how to utilize AI Agents to accomplish a task is what every tech company is trying to integrate within their own systems. CEO's such as Mark Zuckerberg and Jensen Huang have been very vocal on the potential of multi-million dollar one person companies who have employees that are AI Agents. Yeah, imagine that haha. A whole workforce of just AI employees. There are not many resources online and not many free communities discussing agentic AI so I want to be one of the first. And I hope everyone here looks to give as much as they can to this space and learn as much as possible! Learn, learn, learn!