AI Project Setup - AI Dev Config, Architecture, Specs, Planning by Leo DreAI Project Setup - AI Dev Config, Architecture, Specs, Planning by Leo Dre
AI Project Setup - AI Dev Config, Architecture, Specs, PlanningLeo Dre
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AI Development done right - No need of courses, chaos in the setups, endless prompts, broken code, weeks in learning. Start doing Vibe Coding correctly - work with any AI tool with expert approach, professional setup, flow diagrams, the right prompts, and a solid architecture. Get specifications that AI tools (Vercel, Replit, Famous, Devin, Claude, Firebase, Chat GPT Codex, Copilot, etc) can execute and track. THE OUTCOME: AI-ready specifications that AI coding agents actually understand. Stop debugging chaos, start building consistently. Instead of debugging AI-generated code for days (and endless spending of tokens), you get: ✓ Clear architecture AI tools follow ✓ Project configuration covering the best practices ✓ Tested prompts that generate clean code ✓ Security checklists preventing vulnerabilities ✓ Integration configs that can really work ✓ QA specifications catching issues early ✓ Proper Database & API communication ✓ Market-ready solution that could satisfy your users ✓ Performance solutions to handle the market needs IMPORTANT: Documentation only (not code implementation). Compliance guidance is technical recommendations (NOT legal advice).l
Contact for pricing
Schedule a call
Duration1 week
Tags
Claude
N8N
AI Automation
AI Developer
Vibe Coding
AI Builder
AI Project
AI prompts
AI SaaS
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Leo Dre Sofia, Bulgaria
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AI Project Setup - AI Dev Config, Architecture, Specs, PlanningLeo Dre
Contact for pricing
Schedule a call
Duration1 week
Tags
Claude
N8N
AI Automation
AI Developer
Vibe Coding
AI Builder
AI Project
AI prompts
AI SaaS
Cover image for AI Project Setup - AI Dev Config, Architecture, Specs, Planning
AI Development done right - No need of courses, chaos in the setups, endless prompts, broken code, weeks in learning. Start doing Vibe Coding correctly - work with any AI tool with expert approach, professional setup, flow diagrams, the right prompts, and a solid architecture. Get specifications that AI tools (Vercel, Replit, Famous, Devin, Claude, Firebase, Chat GPT Codex, Copilot, etc) can execute and track. THE OUTCOME: AI-ready specifications that AI coding agents actually understand. Stop debugging chaos, start building consistently. Instead of debugging AI-generated code for days (and endless spending of tokens), you get: ✓ Clear architecture AI tools follow ✓ Project configuration covering the best practices ✓ Tested prompts that generate clean code ✓ Security checklists preventing vulnerabilities ✓ Integration configs that can really work ✓ QA specifications catching issues early ✓ Proper Database & API communication ✓ Market-ready solution that could satisfy your users ✓ Performance solutions to handle the market needs IMPORTANT: Documentation only (not code implementation). Compliance guidance is technical recommendations (NOT legal advice).l
Contact for pricing