I Built an AI CTO That Debates Itself. It Cost $6. | Day 02 скачать в хорошем качестве

I Built an AI CTO That Debates Itself. It Cost $6. | Day 02

I gave 4 AI agents one job: debate each other and build a complete technical strategy for a startup idea. The result? A production-ready system built in 12 minutes for $6. Here's what the AI CTO Agent Swarm does: → You submit a startup idea → Architect Agent recommends a tech stack → Security Agent challenges those choices → Cost Agent suggests cheaper alternatives → DevOps Agent warns about over-engineering → System synthesizes everything into a complete strategy Total cost per analysis: $0.036 (3.6 cents) Time to complete: 45-60 seconds Human intervention: Zero --- 📊 DAY 02 RESULTS: Build time: 12 minutes (70% faster than Day 01) Build cost: $6.00 (27% cheaper than Day 01) Services: 6 microservices Success rate: 100% (real API tested) Test pass rate: 100% (35+ assertions) --- 🔥 WHAT MAKES THIS DIFFERENT: Unlike simple AI chatbots, this system uses a sequential pipeline where each agent SEES the previous agent's output and is explicitly instructed to challenge it. This creates real debates, not just parallel analysis. Example from the video: Architect says: "Use Stripe Connect for payments" Cost Agent says: "Stripe Connect takes 2.9%+ platform fees, start with simple escrow" Security Agent says: "Either way, you need webhook signature verification" DevOps Agent says: "Skip complex payment splitting for MVP" The result is a strategy that considers ALL perspectives, not just one. --- 🛠️ TECH STACK USED: 6 Node.js + Express microservices SQLite (Orchestrator database) Server-Sent Events (real-time streaming) Docker Compose orchestration Claude Haiku API (4 specialized agents) File-based report backup system --- 🐛 BUGS ENCOUNTERED (Real Development): 1. Synthesis truncation - max_tokens too low (fixed: 4096 → 8192) 2. JSON parsing failure - markdown fences in response (fixed: 6-pattern extraction) 3. UI display bug - [object Object] rendering (fixed: proper object formatting) All 3 bugs fixed autonomously by Claude Code. --- 💡 KEY LEARNING: Real AI responses are unpredictably verbose. Mock mode hides production issues. Always test with real API before calling a system production-ready. Cost: 3.6 cents per complete technical strategy. Value: Priceless for solo founders who can't afford $5k-15k/month fractional CTOs. --- 📂 ALL CODE OPEN SOURCE: GitHub: https://github.com/devopsballog25-pix... --- ⏱️ TIMESTAMPS: 0:04 - Hook: What I built and why 0:07 - System overview (4 agents + architecture) 0:14 - Live demo: Freelance invoice tracker idea 0:31 - Architect Agent analyzing 0:35 - Security Agent challenging 0:44 - Cost Agent optimizing 0:57 - DevOps Agent simplifying 1:09 - Final synthesis: Complete strategy 1:15 - Results: Metrics and comparison to Day 01 3:30 - System Architecture Overview 3:35 - Technology Stack 3:42 - Claude code build video 5:24 - Claude code comprehensive summary 6:04 - Test results 6:08 - Build Metrics 6:12 - Production Performance 6:16 - Day 01 vs Day 02 comparison 6:20 - Key Achievements 6:24 - Day 02 success report 6:28 - GitHub and open source --- 🔗 LINKS: 📂 GitHub (all code): https://github.com/devopsballog25-pix... 📺 Day 01 (Restaurant System):    • I Gave AI $8 to Build a Restaurant System....   💼 LinkedIn:   / balaji-loganathan-devops   🔔 Subscribe:    / @devopsballog25   --- 💬 WHAT STARTUP IDEA SHOULD DAY 03 TACKLE? Drop your suggestions in the comments! Healthcare? Logistics? Event management? E-commerce? The most upvoted idea gets built next. --- This is Day 02 of the Daily Microservices Challenge - where I test Claude Code's ability to autonomously build production-ready systems from real-world problems. Day 01: Restaurant Order Management System ✅ Day 02: AI CTO Agent Swarm ✅ Day 03: YOUR SUGGESTION → Coming next week #AIAgents #Microservices #ClaudeAI #DevOps #StartupTech #BuildInPublic #SoftwareEngineering #Docker #NodeJS #ArtificialIntelligence #TechStartup #SoloFounder #TechStrategy #OpenSource #MachineLearning