Chimera architecture aligns remarkably well with what Anthropic has now built natively into Claude Code. Key Differences: What Chimera Has That Sub-Agents Don't (Yet) >Global persistent memory across projects via SQLite database >Cross-project learning and knowledge transfer >Automatic learning extraction and pattern synthesis >User preference tracking and adaptation over time >Complex orchestration with batch execution and parallel workflows What Sub-Agents Provide That Your System Lacks >Native integration with Claude Code's tool ecosystem >Automatic task delegation based on context matching >Separate context windows for each agent (prevents context pollution) >Built-in agent management via /agents command >MCP tool integration and granular permissions >Team sharing capabilities through version control My Migration Strategy: Hybrid Approach Rather than completely replacing Chimera, I will re-build a hybrid evolution that leverages the best of both approaches: Phase 1: Convert Specialist Agents to Sub-Agents format while preserving their memory capabilities. New File Structure: text .claude/├── backend.md # Native sub-agent format │ ├── designer.md # Native sub-agent format │ ├── datasci.md # Native sub-agent format │ ├── qa.md # Native sub-agent format │ ├── secure.md # Native sub-agent format │ ├── devops.md # Native sub-agent format │ └── ... (all specialists) ├── commands/ # Keep for orchestration │ ├── orchestrate.md │ ├── executor.md │ ├── learner.md │ └── memory_init.md Expected Benefits Immediate Gains: - Native tool integration and MCP compatibility - Automatic task delegation reduces manual orchestration - Separate context windows prevent context pollution - Built-in team sharing through .claude/agents/ versioning Long-term Advantages: - Hybrid intelligence combining native efficiency with learned wisdom - Cross-project knowledge transfer with modern delegation - Scalable architecture that grows with Claude Code's evolution - Future-proof design that adapts to new sub-agent capabilities

How did I start with AI? What was my wake-up point (with no return)? Let me tell you my story and how I got where I am. The first time I started with GPT was around summer 2021. At first, I thought it was super cool, but really nothing more than Google search on steroids. I used it here and there for simple stuff, like "write me a song about XYZ" or "tell me where XYZ comes from" or "what can you tell me about XYZ", nothing life-changing, but you could already see some potential. Slowly, I started to push what you could do into more useful territory. I began using it within my work to help me write security scripts for vulnerability management and help me understand more technical concepts. It was brilliant at it, and back then it was already giving me an edge over all my colleagues who weren't using it. Gradually, I started using it more and more for my day-to-day activities – helping me write emails, develop security policies, define implementation roadmaps, etc. At this point, it was becoming a key tool for my daily work. I felt this tool was giving me superpowers. I could do the work of 5 different IT and Cybersecurity experts, all on my own. But still, this was not my breaking point. This was October 2023, and the moment of truth was around the corner. November 2023. This was it. OpenAI released something that changed me forever: GPTs. Until then, ChatGPT was an isolated tool for me, super useful, but I couldn't take it out of there to use it for my own specific needs. Not until then. With GPTs, OpenAI gave everyone the opportunity to take this amazing technology and transform it into something fit for their specific needs. From that day, you could create a team of specialist agents capable of being trained on any subject you wanted, with specific instructions to deliver specific outcomes. But why was this a game changer for me? Because this was the first time I realized the impact this technology was about to have on EVERY SINGLE BUSINESS out there. Now I could build teams of specialists, feed specific knowledge documents, specific to a company or even specific to a team within a company, and train them to deliver outcomes that would've taken hours or even days for a human to prepare.

Now, the agents are capable of, not only talk to each other and work in synch, they also have long term memory. They compile feedback, they learn, they record it and store it for future use. There is no memory wipe after the project is finished. They never forget now. They just become better and better, smarter, faster, and they make less mistakes. Efficiency keeps growing. Where is the limit? I don't know yet but I'm heading in that direction. I will be going through the presentation of the project, sharing the prompts, installation guide and how to use, with our AutoSkool community members this Sunday 13th of July 11.59am US Central Time. If you want to have an edge against other vibe coders and x10 the quality of your builds using Claude Code, join us. Link below. This is Project Chimera Beta v3

Hi All, Trying to accommodate as many time zones as I can, I'm planning to schedule our webinar for this Sunday at 11.59am US Central Time. The presentation should be around 30 minutes + another 30m for open questions. Then I will give access to all the required files to everyone. IMPORTANT! Please fill up this short form as this call will be invite only, so be sure you put the email address that you will be joining with. Form URL: https://forms.gle/EcUEDgX8APhJMnyX8 If you haven't used Claude Code yet, I highlight recommend you to watch these videos before, otherwise it will be very hard to follow: - Basic understanding: https://youtu.be/iYiuzAsWnHU?si=tUXp5m4Lmo0O1rg8 - Claude Code tricks: https://youtu.be/T_IYHx-9VGU?si=RhAf_Rb244-lmRTJ - More tips on best use: https://youtu.be/TiNpzxoBPz0?si=fDzKyQVery_glh01 - ! This one only if you are on Windows: https://youtu.be/lQmsLSR13ac?si=KLr7VEnY-AnUKLel

First of all, thank you everyone who voted on our first poll. Second, I think that we have a clear winner: We are going to build a full stack application connecting all the dots together from n8n, to lovable, to Google Cloud and Supabase, so we can build a proper webapp, with robust authentication, organized structured backend with user management and smart process automations with AI agents running behind and orchestrating it. We will also try to upload the application to GitHub, and re-work it from another VibeCoding platform. This is a very useful and powerful skill to have, which will allow you to build pretty much anything you want if you understand all these flows. I will share the dates and the subscription updates very soon, but before I do, I would love for those who voted for this option (and the ones who didn't vote too), to share with me if there is anything in particular you would like to build together? If we don't have a clear winner or anything robust enough, I will pick one myself that I think will be best to connect everything together. I will be sharing tentative date towards the end of the week. I want to give a few days to gather feedback on the application. Also, those who voted for another option, don't worry, the rest of options will go straight to the pipeline so sooner or later we will go over them too, specially the ones related to Microsoft Copilot, as I see more and more interest from people that works with larger clients, but not too many good resources out there. The same for the RAG one, super important to have a good understanding on how they work, the different types and how to build them.